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
The gap explicitly calls for linking circuit structure to molecular cell identity, and scRNA-seq is a directly actionable single-cell molecular annotation method. While it does not solve connectivity mapping by itself, it plausibly addresses the molecular-annotation half of the bottleneck in scalable brain mapping workflows.
The gap includes large-scale discovery problems, and scRNA-seq is an actionable high-throughput assay for uncovering previously hidden biological states and cell-type-specific programs in natural systems. It could plausibly support animal communication studies by profiling neural or sensory cell populations associated with signaling behaviors.
helps resolve heterogeneous molecular changes across disorders at higher cellular resolution
LiteratureIt helps address the review's stated problem that synaptic molecular knowledge across disorders is disunified by enabling more resolved molecular characterization.
Source:
It helps address the review's stated problem that synaptic molecular knowledge across disorders is disunified by enabling more resolved molecular characterization.
improves molecular characterization of heterogeneous cell therapy products
LiteratureIt helps resolve heterogeneity in stem-cell-derived products and supports molecular benchmarking of intended therapeutic cell identities. The review scaffold emphasizes its value for product identity, purity, and graft-composition assessment.
Source:
It helps resolve heterogeneity in stem-cell-derived products and supports molecular benchmarking of intended therapeutic cell identities. The review scaffold emphasizes its value for product identity, purity, and graft-composition assessment.
limited durability and effectiveness in heavily pretreated patients
LiteratureSingle-cell RNA sequencing is presented as an advanced technology for personalization. The abstract states that it can enhance treatment durability and effectiveness for heavily pretreated patients.
Source:
Single-cell RNA sequencing is presented as an advanced technology for personalization. The abstract states that it can enhance treatment durability and effectiveness for heavily pretreated patients.
provides single-cell transcriptomic profiling of DR and MR serotonin neurons
LiteratureIt helps reveal molecular heterogeneity that is not apparent from bulk measurements.
Source:
It helps reveal molecular heterogeneity that is not apparent from bulk measurements.
supports comparison of intended therapeutic cell states with native tissue states
LiteratureIt helps resolve heterogeneity in stem-cell-derived products and supports molecular benchmarking of intended therapeutic cell identities. The review scaffold emphasizes its value for product identity, purity, and graft-composition assessment.
Source:
It helps resolve heterogeneity in stem-cell-derived products and supports molecular benchmarking of intended therapeutic cell identities. The review scaffold emphasizes its value for product identity, purity, and graft-composition assessment.
unbiased classification of colonic sensory neuron diversity
LiteratureIt addresses the problem of resolving heterogeneous colonic sensory neurons into molecularly defined subtypes.
Source:
It addresses the problem of resolving heterogeneous colonic sensory neurons into molecularly defined subtypes.
Published Workflows
Objective: Delineate immune heterogeneity and intercellular communication networks within pituitary neuroendocrine tumors and validate a candidate immunosuppressive interaction axis.
Why it works: The workflow first maps cell populations and inferred interactions by scRNA-seq and communication analysis, then uses orthogonal assays to validate abundance, spatial proximity, and functional signaling.
CTLA4-CD86-mediated interaction between Treg/Tfh cells and macrophages/microgliasingle-cell RNA sequencingcell-cell communication analysismultiplex immunohistochemistryflow cytometryin vitro co-culture assay
Stages
- 1.Single-cell transcriptomic profiling and cell type identification(broad_screen)
This stage establishes the cellular landscape needed to compare immune phenotypes across PitNET lineages.
Selection: Profile cells from 22 fresh PitNET samples and identify cell types across PIT1, SF1, and TPIT lineages.
- 2.Cell-cell communication analysis(secondary_characterization)
This stage nominates specific communication pathways, including CTLA4-CD86, for orthogonal validation.
Selection: Analyze identified cell populations for specific intercellular interactions.
- 3.Orthogonal validation by flow cytometry and multiplex immunohistochemistry(confirmatory_validation)
This stage provides orthogonal support for both abundance differences and spatial proximity underlying the inferred communication network.
Selection: Validate lineage-specific enrichment of Treg and Tfh cells and assess spatial colocalization of Treg cells with macrophages or microglia.
- 4.Functional validation by in vitro co-culture assay(functional_characterization)
This stage moves from inferred and spatially supported interaction to functional demonstration of CTLA4-CD86 signaling.
Selection: Test whether CTLA4-CD86 signaling is functionally active between Treg cells and macrophages.
Cholinergic neuronal activity promotes diffuse midline glioma growth through muscarinic signaling.
2025Objective: Determine whether midbrain cholinergic neuronal activity promotes diffuse midline glioma growth and identify the receptor mechanism mediating this effect.
Why it works: The abstract describes a linked strategy that perturbs cholinergic circuits, measures tumor-related proliferation effects, profiles receptor expression in primary tumors, and then tests necessity of candidate receptors by pharmacological or genetic blockade.
cholinergic long-range projection signalingacetylcholine action on DMG cellsM1/M3 muscarinic receptor signalingoptogenetic stimulationco-culture assaysingle-cell RNA sequencingpharmacological blockadegenetic blockade
Stages
- 1.Circuit-level perturbation of cholinergic nuclei(functional_characterization)
This stage establishes whether cholinergic neuronal activity is sufficient to promote DMG growth in vivo and whether the effect depends on the specific circuit.
Selection: Test whether activating defined cholinergic nuclei changes glioma proliferation in anatomically matched DMG locations.
- 2.Direct interaction testing in co-culture(secondary_characterization)
This stage tests whether the growth effect can be explained by direct cholinergic influence on DMG cells rather than only by broader in vivo network effects.
Selection: Assess whether cholinergic neurons and acetylcholine can directly enhance DMG proliferation outside the intact circuit.
- 3.Receptor expression profiling in primary DMG(functional_characterization)
This stage nominates CHRM1 and CHRM3 as plausible mediators of cholinergic signaling in DMG.
Selection: Identify muscarinic receptor candidates expressed in primary DMG samples.
- 4.Mechanistic necessity testing by receptor blockade(confirmatory_validation)
This stage confirms whether the candidate muscarinic receptors identified by expression and mechanistic context are necessary for the proliferative phenotype.
Selection: Test whether M1/M3 receptor function is required for cholinergic activity-driven DMG proliferation.
Steps
- 1.Stimulate cholinergic PPN and LDT circuits optogeneticallyactivity perturbation method
Test whether activation of defined cholinergic nuclei promotes DMG proliferation in region-specific contexts.
The study first needs to establish a circuit-level causal effect of cholinergic neuronal activity on tumor growth.
- 2.Assess cholinergic neuron and acetylcholine effects on DMG cells in co-culture
Determine whether cholinergic signaling can directly enhance DMG proliferation outside intact brain circuitry.
After establishing an in vivo circuit effect, the study tests whether DMG cells are directly responsive to cholinergic input.
- 3.Profile primary DMG samples by single-cell RNA sequencing for muscarinic receptor expressionexpression profiling method
Nominate receptor candidates that could mediate cholinergic effects on DMG cells.
Once direct cholinergic responsiveness is supported, receptor-expression data can prioritize mechanistic candidates for loss-of-function testing.
- 4.Block M1/M3 receptors pharmacologically or geneticallymechanistic perturbation
Test whether M1/M3 receptors are required for cholinergic activity-driven DMG proliferation.
This confirmatory step follows receptor nomination and directly tests causality.
Objective: Characterize and benchmark stem-cell-derived CNS cell therapy products and grafts for intended identity, purity, composition, and maturation in translational neurodegenerative disease programs.
Why it works: The supplied evidence indicates that single-cell profiling can define authentic target cell states, reveal graft composition, and assess maturation toward native states, making it useful for translational characterization of heterogeneous cell products.
matching intended therapeutic cell states to native reference statesdetecting heterogeneous or unexpected cell populations in products and graftssingle-cell profilingsingle-cell RNA sequencingtranscriptomic benchmarking
Stages
- 1.Native target-state definition and reference profiling(functional_characterization)
The supplied evidence indicates that single-cell and genomic profiling papers are used to define authentic or vulnerable native cell states that can serve as benchmarks for therapeutic products.
Selection: Define authentic target cell states relevant to the intended therapeutic product.
- 2.Cell product identity and purity characterization(functional_characterization)
The supplied evidence explicitly highlights single-cell profiling for product identity and purity as a core review theme.
Selection: Assess whether stem-cell-derived products match intended identity and purity expectations.
- 3.Post-transplant graft composition and maturation assessment(confirmatory_validation)
The supplied evidence cites aligned studies showing that single-cell transcriptomics can identify graft composition and evaluate maturation of transplanted cells toward native states.
Selection: Profile graft composition after transplantation and assess maturation toward native state.
Objective: To define the molecular heterogeneity of serotonin neurons in the mouse dorsal and median raphe nuclei and relate molecularly defined subpopulations to anatomical location and whole-brain projection patterns.
Why it works: The workflow combines transcriptomic clustering to define candidate subtypes, in situ hybridization to localize them anatomically, and projection mapping plus single-cell reconstruction to connect subtype identity with output anatomy.
co-expression-defined serotonin neuron subtype organizationassociation of VGLUT3 co-expression with cortical innervationassociation of TRH co-expression with subcortical and hypothalamic innervationplate-based single-cell RNA-sequencingsystematic in situ hybridizationintersectional viral-genetic targetingwhole-brain axonal projection mappingsingle-cell reconstruction
Stages
- 1.Single-cell transcriptomic profiling(broad_screen)
This stage defines transcriptomically distinct serotonin neuron clusters as the basis for downstream spatial and projection analyses.
Selection: transcriptome-wide single-cell expression profiles of serotonin neurons
- 2.Spatial mapping by in situ hybridization(secondary_characterization)
This stage links transcriptomic clusters to principal DR, caudal DR, or MR anatomy.
Selection: mapping specific transcriptomic clusters to raphe subregions
- 3.Generation of intersectional access tools(functional_characterization)
This stage provides selective access to specific serotonin neuron subpopulations for downstream anatomical analysis.
Selection: ability to access specific subpopulations
- 4.Whole-brain projection mapping and single-cell reconstruction(confirmatory_validation)
This stage tests whether molecularly defined or marker-defined serotonin neuron populations have distinct projection targets.
Selection: brain-wide axonal projection patterns of defined serotonin neuron subpopulations and individual neurons
Objective: Identify molecularly distinct classes of colonic sensory neurons and relate transcriptomic patterning to protein expression.
Why it works: The paper states that unbiased single-cell RNA-sequencing identified seven subtypes and that the observed patterning was confirmed at the protein-expression level, supporting a discovery-plus-confirmation workflow.
transcriptomic heterogeneity among colonic sensory neuronstranslation of transcriptomic patterning to protein expressionunbiased single-cell RNA-sequencingprotein-expression confirmation
Stages
- 1.Single-cell RNA-sequencing discovery(broad_screen)
This stage exists to discover and classify colonic sensory neuron subtypes without prior bias.
Selection: Unbiased single-cell transcriptomic profiling to identify subtypes of colonic sensory neurons.
- 2.Protein-expression confirmation(confirmatory_validation)
This stage exists to validate that the molecular patterns identified by sequencing are reflected at the protein-expression level.
Selection: Confirm that transcriptomic patterning translates to protein expression.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Target processes
editingrecombinationselectiontranslationInput: Chemical
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
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.
Precision delivery systems can enhance lesion targeting through ligand modification, including anti-VCAM-1 antibody-modified PLGA carriers.
Multi-targeting strategies including logic-gated CARs, adapter CARs, and combination therapies can increase CAR-T cell potency and aim to minimize immune evasion by simultaneously targeting multiple antigens.
multi-targeting strategies like logic-gated CARs, adapter CARs, or combination therapies can increase the potency of CAR-T cells. These approaches aim to minimize immune evasion by targeting multiple antigens simultaneously
Single-cell sequencing can analyze stem-cell heterogeneity in the atherosclerotic lesion microenvironment to screen high-activity stem-cell subpopulations.
Patient-derived iPSC vascular organoids can simulate an in vivo-like lipid deposition-inflammatory microenvironment to evaluate stem-cell therapeutic effects.
Single-antigen CAR-T therapies can fail through immune evasion caused by antigen escape.
most CAR-T therapies target a single antigen, such as CD19, which can result in immune evasion through antigen escape
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
NGS, dSTORM, and multiparametric flow cytometry help identify novel tumor-specific targets and improve CAR-T therapy designs.
advanced tools such as next-generation sequencing (NGS), direct stochastic optical reconstruction microscopy (dSTORM), or multiparametric flow cytometry are helping to identify novel tumor-specific targets and improve therapy designs
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.
The review includes neural stem or progenitor cell approaches that use trophic-factor delivery, including GDNF-secreting neural progenitor cells in ALS-related translation.
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.
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.
Plate-based single-cell RNA-sequencing identified eleven transcriptomically distinct serotonin neuron clusters in the mouse dorsal and median raphe nuclei.
cluster count 11
Whole-brain axonal projection mapping showed that dorsal raphe serotonin neurons co-expressing vesicular glutamate transporter-3 preferentially innervate the cortex, whereas those co-expressing thyrotropin-releasing hormone innervate subcortical regions, particularly the hypothalamus.
Reconstruction of 50 individual dorsal raphe serotonin neurons revealed diverse and segregated axonal projection patterns at the single-cell level.
reconstructed neuron count 50
Systematic in situ hybridization mapped specific serotonin neuron transcriptomic clusters to the principal dorsal raphe, caudal dorsal raphe, or median raphe.
The study generated novel intersectional viral-genetic tools to access specific serotonin neuron subpopulations.
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-stated alternatives
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.; The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.; The abstract contrasts this transcriptomic approach with in situ hybridization and projection mapping as complementary methods rather than substitutes.; No direct alternative assay is named in the abstract.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Source:
The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.
Source:
The abstract contrasts this transcriptomic approach with in situ hybridization and projection mapping as complementary methods rather than substitutes.
Source:
No direct alternative assay is named in the abstract.
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 imaging
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with imaging surveillance
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with multi-tracer positron emission tomography imaging
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with PET imaging
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with single-cell profiling
The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.
Compared with single-cell transcriptomics
The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The supplied evidence contrasts single-cell profiling with broader product characterization approaches but does not explicitly name a direct alternative assay in the review text provided.
Compared with spatial atlases
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with spatial proteomics
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with synaptic positron emission tomography imaging
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts it with other emerging translational tools including spatial proteomics and synaptic PET imaging.
Compared with systematic in situ hybridization
The abstract contrasts this transcriptomic approach with in situ hybridization and projection mapping as complementary methods rather than substitutes.
Shared frame: source-stated alternative in extracted literature
Strengths here: described as translationally relevant; supports disease-specific and patient-level insight; presented as a technology that can enhance durability and effectiveness.
Relative tradeoffs: the abstract does not specify exact assay formats, tissues, or benchmarked performance; the supplied evidence does not specify assay workflow details, thresholds, or standard acceptance criteria from the review.
Source:
The abstract contrasts this transcriptomic approach with in situ hybridization and projection mapping as complementary methods rather than substitutes.
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