Source 1review2026MED
Toolkit/single-cell RNA sequencing
single-cell RNA sequencing
Also known as: plate-based scRNA-seq, scRNA-seq, single-cell RNA-seq, single-cell RNAseq, single-cell RNA sequencing, single-cell RNA-sequencing, single-cell transcriptomics
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Single-cell RNA sequencing (scRNA-seq) is a transcriptomic assay method that measures RNA molecules in individual cells by sequencing-based transcript detection. In the cited application, it detected FLiCRE transcripts within the endogenous transcriptome, enabling simultaneous readout of cell type and calcium activation history.
Usefulness & Problems
Why this is useful
scRNA-seq is useful for qualitative and quantitative transcriptomic analysis at single-cell resolution. The supplied evidence indicates that it can couple detection of engineered transcripts such as FLiCRE with endogenous gene-expression profiles, allowing cell-state or activation-history information to be linked to cell identity.
Source:
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Problem solved
This method addresses the problem of resolving transcriptomic heterogeneity across individual cells rather than bulk populations. In the cited use case, it solved the specific need to identify cells carrying FLiCRE-recorded calcium activation while simultaneously classifying those cells by endogenous transcriptome.
Problem links
Need conditional recombination or state switching
DerivedSingle-cell RNA sequencing (scRNA-seq) is a transcriptomic assay method that measures RNA molecules in individual cells. In the cited application, it detected FLiCRE transcripts within the endogenous transcriptome, enabling simultaneous readout of cell type and calcium activation history.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
sequencing-based transcript detectionsequencing-based transcript detectionsingle-cell transcript countingsingle-cell transcript countingTranslation ControlTechniques
Functional AssayFunctional AssayFunctional AssaySelection / EnrichmentSequence VerificationSequence VerificationSequence VerificationTarget processes
editingrecombinationselectiontranslationInput: Chemical
Implementation Constraints
application area: atherosclerosis translational optimizationapplication area: cell therapy product characterizationapplication domain: colonic sensory neuron classificationcofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationmodality: single-cell transcriptomic characterizationmodality: transcriptomicsoperating role: builderoperating role: sensorrole: personalization technologytranslational relevance: Trueunbiased: True
Implementation in the cited application required recovery of FLiCRE transcripts together with the endogenous transcriptome from individual cells. The provided evidence does not specify library preparation chemistry, cell isolation workflow, sequencing platform, or construct-design constraints beyond transcript detectability.
The supplied evidence does not provide quantitative performance metrics such as sensitivity, capture efficiency, sequencing depth requirements, or false-positive rates. It also does not specify platform type, throughput, or whether the FLiCRE-linked application was independently replicated.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Observations
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
successMouseapplication demomousenucleus accumbens
Inferred from claim c4 during normalization. The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections. Derived from claim c4. Quoted text: We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
Supporting Sources
Source 2primary paper2020
Source 3review2023Frontiers in Cell and Developmental Biology
Source 4review2023Cell stem cell
Source 5primary paper2025MED
Source 6primary paper2025MED
Source 7primary paper2018Gut
Source 8primary paper2019eLife
Ranked Claims
The review identifies single-cell RNA sequencing, spatial proteomics, and synaptic PET imaging as emerging translational tools for disease-specific and patient-level insight into synaptic pathology.
The emerging tools that have translational relevance, as pointed out by the review, include single-cell RNA sequencing, spatial proteomics, and synaptic positron emission tomography (PET) imaging, with the capabilities of providing disease-specific and patient-level insights into the pathology of synapses.
Single-cell sequencing can analyze stem-cell heterogeneity in the atherosclerotic lesion microenvironment to screen high-activity stem-cell subpopulations.
CRISPR screening and single-cell RNA sequencing can support personalization that enhances durability and effectiveness of treatments for heavily pretreated patients.
Personalization using advanced technologies like CRISPR screening and single-cell RNA sequencing can enhance durability and effectiveness of treatments for heavily pretreated patients
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Recent advances in lineage tracing, synthetic receptor systems, proximity labeling, and transcriptomics have enabled easier and more accurate cell behavior visualization and qualitative and quantitative analysis of cell-cell interactions than ever before.
Single-cell profiling is emphasized as a key approach for assessing cell product identity, purity, graft composition, and post-transplant maturation in neurodegenerative disease cell therapy.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Plate-based single-cell RNA-sequencing identified eleven transcriptomically distinct serotonin neuron clusters in the mouse dorsal and median raphe nuclei.
cluster count 11
Unbiased single-cell RNA-sequencing identified seven subtypes of colonic sensory neurons.
We identify seven subtypes of colonic sensory neurons using unbiased single-cell RNA-sequencing
identified subtypes 7
The results provide a pathway to molecular interrogation of colonic sensory innervation in health and disease and identify novel targets for drug development.
These results provide a pathway to molecular interrogation of colonic sensory innervation in health and disease, together with identifying novel targets for drug development.
The study confirmed that transcriptomic patterning translated to protein expression.
confirm translation of patterning to protein expression
Approval Evidence
7 sources11 linked approval claimsfirst-pass slugs plate-based-single-cell-rna-sequencing, single-cell-rna-sequencing
The emerging tools that have translational relevance, as pointed out by the review, include single-cell RNA sequencing...
Source:
Personalization using advanced technologies like CRISPR screening and single-cell RNA sequencing can enhance durability and effectiveness of treatments for heavily pretreated patients
Source:
This review aimed to describe the recent methodological advances of ... single-cell RNA sequencing
Source:
The supplied web research summary states that the review's core themes include single-cell profiling for product identity/purity and cites multiple aligned papers using single-cell transcriptomics to define authentic target cell states, reveal graft composition, and assess post-transplant maturation.
Source:
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Source:
we used plate-based single-cell RNA-sequencing to generate a comprehensive dataset comprising eleven transcriptomically distinct serotonin neuron clusters
Source:
We identify seven subtypes of colonic sensory neurons using unbiased single-cell RNA-sequencing
Source:
tool relevance summarysupports
The review identifies single-cell RNA sequencing, spatial proteomics, and synaptic PET imaging as emerging translational tools for disease-specific and patient-level insight into synaptic pathology.
The emerging tools that have translational relevance, as pointed out by the review, include single-cell RNA sequencing, spatial proteomics, and synaptic positron emission tomography (PET) imaging, with the capabilities of providing disease-specific and patient-level insights into the pathology of synapses.
Source:
use casesupports
CRISPR screening and single-cell RNA sequencing can support personalization that enhances durability and effectiveness of treatments for heavily pretreated patients.
Personalization using advanced technologies like CRISPR screening and single-cell RNA sequencing can enhance durability and effectiveness of treatments for heavily pretreated patients
Source:
biological importancesupports
Understanding mechanisms of adult tissue-specific stem cell interaction is important for tissue regeneration and maintenance of homeostasis.
An enhanced understanding of the mechanisms of adult tissue-specific stem cells interaction is important for tissue regeneration and maintenance of homeostasis in organisms.
Source:
methodological emphasissupports
Single-cell profiling is emphasized as a key approach for assessing cell product identity, purity, graft composition, and post-transplant maturation in neurodegenerative disease cell therapy.
Source:
review scope summarysupports
The review covers recent methodological advances in dual enzyme lineage tracing systems, synthetic receptor systems, proximity labeling, single-cell RNA sequencing, and spatial transcriptomics for studying adult tissue-specific stem cell interactions.
This review aimed to describe the recent methodological advances of dual enzyme lineage tracing system, the synthetic receptor system, proximity labeling, single-cell RNA sequencing and spatial transcriptomics in the study of adult tissue-specific stem cells interactions.
Source:
assay readoutsupports
Single-cell RNA sequencing detected FLiCRE transcripts among the endogenous transcriptome, enabling simultaneous readout of cell-type and calcium activation history.
Using single-cell RNA sequencing, we detected FLiCRE transcripts among the endogenous transcriptome, providing simultaneous readout of both cell-type and calcium activation history.
Source:
biological discoverysupports
The study identified a cell-type in the nucleus accumbens that is activated downstream of long-range excitatory projections.
We identified a cell-type in the nucleus accumbens activated downstream of long-range excitatory projections.
Source:
dataset resultsupports
Plate-based single-cell RNA-sequencing identified eleven transcriptomically distinct serotonin neuron clusters in the mouse dorsal and median raphe nuclei.
Source:
discoverysupports
Unbiased single-cell RNA-sequencing identified seven subtypes of colonic sensory neurons.
We identify seven subtypes of colonic sensory neurons using unbiased single-cell RNA-sequencing
Source:
translational implicationsupports
The results provide a pathway to molecular interrogation of colonic sensory innervation in health and disease and identify novel targets for drug development.
These results provide a pathway to molecular interrogation of colonic sensory innervation in health and disease, together with identifying novel targets for drug development.
Source:
validationsupports
The study confirmed that transcriptomic patterning translated to protein expression.
confirm translation of patterning to protein expression
Source:
Comparisons
Source-backed strengths
The evidence supports that scRNA-seq can detect specific tool-derived transcripts among endogenous RNAs in single cells. The cited review also describes single-cell RNA sequencing as part of recent methodological advances that enable easier and more accurate visualization of cell behavior and qualitative and quantitative analysis of cell-cell interactions.
Compared with chromatin in vivo imaging
single-cell RNA sequencing and chromatin in vivo imaging address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Compared with light-dark masking paradigm
single-cell RNA sequencing and light-dark masking paradigm address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Strengths here: looks easier to implement in practice.
Compared with whole genome screening of gene knockout mutants
single-cell RNA sequencing and whole genome screening of gene knockout mutants address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
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