First-pass extracted methods

Using an optogenetic approach

Optogenetics is an innovative and fast-growing field of science combining the advances in molecular biology and laser technologies to monitor various biochemical processes in the cell and to control its activity using light.

this review is devoted to the implementation of the optogenetic approach to diagnosis and treatment of various socially sensitive diseases at the molecular and genetic level

Optogenetics is an innovative and fast-growing field of science combining the advances in molecular biology and laser technologies to monitor various biochemical processes in the cell and to control its activity using light.

Moreover, latest developments in nucleases such as zinc finger nucleases (ZFNs), TALENs (transcription-activator-like effector nucleases) are discussed.

We critically examine the application of advanced genetic engineering techniques, including CRISPR-Cas9, TALENs, and synthetic biology, in modifying cellular behaviors and functions for tissue engineering.

different editing techniques have emerged based on programmable nucleases such as ZFN or TALENS

We address the field's challenges, including long-term genetic stability, scalability, and off-target effects, while also considering the ethical implications and evolving regulatory landscape of genetically engineered tissues.

We critically examine the application of advanced genetic engineering techniques, including CRISPR-Cas9, TALENs, and synthetic biology, in modifying cellular behaviors and functions for tissue engineering.

Transcriptomic profiling showed significant upregulation of respiration-related genes in the pfk2Δ strain compared to the reference strain.

We discuss how genetic variants and transcriptomic profiles may confer risk for depression by modulating brain structure and function.

Transcriptomic profiling showed significant upregulation of respiration-related genes in the pfk2Δ strain compared to the reference strain.

Genetic variants and transcriptomic profiles may confer risk for depression by modulating brain structure and function.

We conducted two-photon calcium imaging to assess mice dorsal prefrontal cortex (dPFC) cell responses during exposure to visual stimuli and widefield photostimulation of claustrum axons embedded in the dPFC.

We propose a conceptual framework for the identification and manipulation of neuronal ensembles using simultaneous calcium imaging and two-photon optogenetics in behaving mice.

We identified three distinct subpopulations of neurons - sensory responsive, opto responsive, and opto-boosted cells-each exhibiting unique response dynamics to combined visual and optogenetic stimuli.

Simultaneous two-photon calcium imaging and two-photon optogenetics allowed experimental demonstration of a causal relation between population activity and learned behaviors.

We used a combination of Eyring analysis and CD spectroscopy to quantify the relationship between allostery, catalytic activity, and global thermal stability.

examined using UV/Vis and CD spectroscopy

Using NMR spectroscopy

The reconstituted protein samples were analyzed by NMR spectroscopy under dark and light conditions.

were explored with transient absorption spectroscopy

Transient absorption signals spanning 15 decades in time were compared for wild-type AsLOV2 and the F434Y mutant

examined using UV/Vis and CD spectroscopy

studied by time-resolved electron paramagnetic resonance (EPR) and UV-vis spectroscopy at low temperatures

cell death mechanisms were analyzed by Western blotting

ELIPs) as monitored by western blotting

Outward currents in CFTR-expressed HEK293T cells were observed by using whole-cell patch clamp when ultrasound (0.8 MHz, 0.20 MPa) was delivered to these cells.

The voltage gated K+ current was determined in Jcam lymphoma cells by whole cell patch clamp.

Dual-attention long short-term memory network (DA-LSTM) with new generative models was proposed to predict viral particles and evaluate the removal efficiencies across AeMBRs, thereby handling effluent processing drifts.

The results showed that DA-LSTM zero-shot generalization achieved remarkable viral particles prediction performance using MMCM with a mean average coefficient of determination R2 of 0.91, and 0.97 across the sand, and MBR wastewater matrices in region R1, respectively, and R2 of 0.97 across the chlorinated effluent treatment process in region R2.

Tests on total viral prediction across municipal WWTPs located in two other regions in Saudi Arabia confirmed the DA-LSTM's effectiveness in predicting viral particle across WMs and its ability to enhance zero-shot generalization performance at the regional level.

The DA-LSTM combines attention mechanisms to adaptively adjust the weights of the features and increase the long-term memory, enabling accuracy and robustness across unseen WMs.

We present Periplasmic dIsplay Of geNetically Encoded rEgulatoRs (PIONEER), a modular platform that localizes peptides, proteins, and nanobodies to the membrane-proximal periplasmic space of Saccharomyces cerevisiae, enabling direct interrogation of membrane protein function.

Although demonstrated with G protein-coupled receptors, PIONEER is adaptable to a wide range of membrane and soluble protein targets.

It also distinguishes intrabodies based on their functional effects and chaperone activity.

Applied to human G protein-coupled receptors, the system enables detection of surface expression, ligand activity profiling, and classification of nanobody regulators, including antagonists and conformational stabilizers.

we developed RNA-SeqEZPZ, an automated pipeline with a user-friendly point-and-click interface, enabling rigorous and reproducible RNA-seq analysis without requiring programming or bioinformatics expertise

RNA-SeqEZPZ is a robust, accessible, and scalable solution for comprehensive RNA-seq analysis

it includes a Nextflow implementation, enabling scalability and portability for seamless execution across various platforms, including job submission in the cloud and cluster computing

all software is packaged within a Singularity container, eliminating installation issues

This paper presents RNAtive, the first computational tool to apply consensus-derived secondary structures for reference-free evaluation of RNA 3D models.

Benchmarking against CASP15 competition data showed that models consistent with the RNAtive consensus exhibit native-like structural features.

RNAtive includes a conditionally weighted consensus mode that treats interaction networks as fuzzy sets and allows integration of user-defined 2D structural constraints.

RNAtive constructs a consensus secondary structure by aggregating recurrent base-pairing and stacking interactions across ensembles of predicted RNA 3D structures.

Here, we present ASTRO, an automated pipeline developed to process spatial transcriptomics data.

enabling the detection of various RNA species, including non-coding RNAs such as miRNAs

ASTRO incorporates a specialized filtering step and optimizes spatial barcode calling, increasing the mapping rate.

ASTRO is optimized for whole-transcriptome analyses of FFPE samples

Here, we introduce CochleaNet, a deep learning-based framework to analyze volumetric imaging data obtained by light-sheet microscopy of decalcified, cleared and fluorescently labeled cochleae.

We conclude that the combination of light-sheet microscopy and image analysis with CochleaNet paves the way for rapid and reliable quantification of cochlear molecular anatomy and preclinical gene therapy outcomes.

CochleaNet covers the workflow from reconstruction of the cochlea to segmentation of inner hair cells, spiral ganglion neurons and their afferent synapses, to analyzing the expression of gene therapy products.

Trained on high isotropic resolution mouse data, CochleaNet was also applicable to the cochlea of the gerbil, another relevant animal model, and lower-resolution mouse data from a commercially available microscope.

we have developed LncPlankton, a comprehensive database of candidate marine lncRNAs

LncPlankton provides a user-friendly open-access web interface for database exploration.

LncPlankton is intended to support small- and large-scale lncRNA analyses across marine plankton species and comparative studies beyond the marine environment.

LncPlankton candidate calls were generated by integrating predictions from 10 coding potential prediction tools using a majority-voting approach.

Phenix is a comprehensive software package for macromolecular structure determination that handles data from any of these techniques.

The design of Phenix emphasizes the automation of procedures, where possible, to minimize repetitive and time-consuming manual tasks, while default parameters are chosen to encourage best practice.

Phenix is a comprehensive software package for macromolecular structure determination that handles data from any of these techniques.

A graphical user interface provides access to many command-line features of Phenix and streamlines the transition between programs, project tracking and re-running of previous tasks.

we developed Quick Clonal Analysis Toolkit (QuiCAT), an end-to-end Python-based package that streamlines the extraction, clustering, and analysis of synthetic tags from sequencing data

QuiCAT outperforms existing pipelines in both speed and accuracy.

Its outputs are widely compatible with the Python ecosystem for single-cell and spatial transcriptomics data analysis packages allowing seamless integrations and downstream analyses.

we developed Quick Clonal Analysis Toolkit (QuiCAT), an end-to-end Python-based package that streamlines the extraction, clustering, and analysis of synthetic tags from sequencing data

The transient gene expression system using Arabidopsis mesophyll protoplasts has proven an important and versatile tool for conducting cell-based experiments...

The reported method includes protoplast isolation, PEG-calcium transfection of plasmid DNA, and protoplast culture.

The Arabidopsis mesophyll protoplast system has physiological responses and high-throughput capability that enable facile and cost-effective explorations and hypothesis-driven tests.

The protoplast isolation and DNA transfection procedures take 6-8 hours, and results can be obtained in 2-24 hours.

Here, we developed ER dimerization-detecting biosensors (ERDDBs), based on bioluminescence resonance energy transfer, for dimerization detection and rapid eEDC identification.

Before this study, a comprehensive live-cell screening approach for estrogenic endocrine-disrupting chemicals affecting all ER dimer forms was lacking.

Using HaloTag as the acceptor and a P2A peptide linker produced the highest-sensitivity ERDDB prototype among those tested.

Using ERDDB-based stable cell lines and EC-value cross-comparison, the study successfully classified 26 of 72 estrogen analogs by the ER dimerization types they induce.

Using network pharmacology, 244 active ingredients were identified from ZRGCDMD, with key components including baicalein, β-carotene, kaempferol, quercetin, naringenin, and diosgenin.

Using network pharmacology, 244 active ingredients were identified from ZRGCDMD

Additionally, 88 targets associated with depression comorbid with insomnia were identified.

This study employs network pharmacology and molecular docking techniques to uncover the mechanisms by which ZRGCDMD treats depression associated with insomnia.

we developed OmniNeo, an automated multi-omics-based neoantigen discovery framework

we demonstrated the practical application procedures of this workflow in potential tumor immunotherapy through case study analyses of liver cancer samples

OmniNeo integrates whole-genome/exome sequencing (WGS/WES), transcriptomic, and proteomics data to simultaneously identify neoantigenic epitopes derived from SNVs/Indels, frameshift mutations, gene fusions, and non-coding region variations

we developed OmniNeo, an automated multi-omics-based neoantigen discovery framework

Here, we used ... PiggyBac transposon systems to insert optogenetic and chemogenetic receptors (ChR2/hM4Di) into human iPSCs.

While both systems successfully integrated genes into the genomes of HEK293T cells and iPSCs

For PiggyBac, the methylation of CMV/EF1α promoters in iPSCs exhibited integration site-dependent variability (0-95.2%).

receptor expression was detected only in HEK293T cells

This study demonstrates that large language models (LLMs) hold strong potential for generating end-to-end bioinformatic pipelines through carefully crafted prompts

While capabilities vary, all LLMs tested show potential for both pipeline generation and updates with our designed prompts and strategies.

This study demonstrates that large language models (LLMs) hold strong potential for generating end-to-end bioinformatic pipelines through carefully crafted prompts, using a multi-step metaviral workflow as a representative example.

These models also handle tool substitutions effectively.

To address this need, we developed SeqExpressionAnalyser, an R package that provides a web application for interactive differential gene-expression analysis of RNA-seq data, making it accessible to R users for the first time.

This fragmented approach is time-consuming and not user-friendly, especially for non-expert users. There is a need for an integrated, automated and accessible solution... To address this need, we developed SeqExpressionAnalyser

The tool generates multiple outputs, including data tables, an HTML report and visualisations.

we developed SeqExpressionAnalyser, an R package that provides a web application for interactive differential gene-expression analysis of RNA-seq data... Built on the Shiny framework, SeqExpressionAnalyser enables users to read FASTQ files and perform analyses

Recent technological innovations, including single-cell and spatial transcriptomics ... have created new opportunities for investigating the cellular and molecular basis of VDs.

Single-cell and spatial transcriptomics, super-resolution and photoacoustic imaging, microfluidic organ-on-chip platforms, CRISPR/Cas9-based gene editing, and AI have created new opportunities for investigating the cellular and molecular basis of vascular diseases.

These emerging technologies enable high-resolution mapping of cellular heterogeneity and functional alterations, facilitating biomarker discovery, disease modeling, and therapeutic development in vascular diseases.

Future progress in vascular disease research should prioritize multi-center large-scale validation studies, harmonization of assay protocols, and integration with clinical datasets and human samples.

Implemented as the computational platform, T-Pro, this approach provides robust interpretability, scalability, and predictive power.

Furthermore, we validate the framework by engineering multispecies bacterial communication circuit, highlighting its broad utility and generalizability.

Experimental validation across three distinct bacteria-Escherichia coli, Bacillus subtilis, and Corynebacterium glutamicum-demonstrates substantial improvements (up to 20-fold) in a composite transcriptional performance metric (Fmax*FC)

achieved within only three Design-Build-Test-Learn cycles and fewer than five genetic constructs in total

we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles

Our results highlight the potential of combining mechanistic immune modeling, synthetic transcriptomic validation, and Artificial Intelligence-based design to accelerate the development of safer and more effective mRNA-based therapies.

The proposed framework enables early-stage, fully in silico screening of mRNA vaccine delivery strategies.

we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles

modern precision tools including suppressor tRNAs, RNA editing, and CRISPR-based platforms

have evolved from early aminoglycosides to modern precision tools including suppressor tRNAs, RNA editing, and CRISPR-based platforms

Readthrough therapies-strategies to override PTCs and restore full-length protein expression

Yet clinical translation remains hampered by inefficient CNS delivery, variable efficacy, and the absence of personalized stratification.

Recent technological innovations, including ... CRISPR/CRISPR-associated protein 9 (Cas9)-based gene editing ... have created new opportunities for investigating the cellular and molecular basis of VDs.

Single-cell and spatial transcriptomics, super-resolution and photoacoustic imaging, microfluidic organ-on-chip platforms, CRISPR/Cas9-based gene editing, and AI have created new opportunities for investigating the cellular and molecular basis of vascular diseases.

These emerging technologies enable high-resolution mapping of cellular heterogeneity and functional alterations, facilitating biomarker discovery, disease modeling, and therapeutic development in vascular diseases.

Future progress in vascular disease research should prioritize multi-center large-scale validation studies, harmonization of assay protocols, and integration with clinical datasets and human samples.

This application of dynamic fluorescent holotomography as a novel method to investigate nanoparticle uptake and cargo delivery highlights the expanding utility of multimodal, label-free, live imaging techniques.

We also describe a method to quantitatively characterize uptake of a library of fluorescently tagged lipid- and polymer-based nanoformulations without introducing cell or organelle markers.

We show that integration of holography and tomography enhances the study of live cells in a label-free environment and can be combined with intermittent fluorescence microscopy to assess nanoparticle uptake and delivery kinetics for up to 30 hours.

This application of dynamic fluorescent holotomography as a novel method to investigate nanoparticle uptake and cargo delivery highlights the expanding utility of multimodal, label-free, live imaging techniques.

combining chemogenetic activation of the LC with resting-state fMRI

Functional connectivity changes strongly correlate with transcript levels of alpha-1 and beta-1 adrenergic receptors across the brain

functional network connectivity correlates with NE turnover within select brain regions

combining chemogenetic activation of the LC with resting-state fMRI, an approach we term "chemo-connectomics."

modern precision tools including suppressor tRNAs, RNA editing, and CRISPR-based platforms

have evolved from early aminoglycosides to modern precision tools including suppressor tRNAs, RNA editing, and CRISPR-based platforms

Readthrough therapies-strategies to override PTCs and restore full-length protein expression

Yet clinical translation remains hampered by inefficient CNS delivery, variable efficacy, and the absence of personalized stratification.

it has become possible to determine whole series of structural snapshots by time-resolved serial femtosecond crystallography and assemble them to molecular movies of proteins in action

Integrating sample-efficient high-viscosity injectors into pump-probe setups makes it possible to determine series of structural snapshots by time-resolved serial femtosecond crystallography.

Time-resolved serial femtosecond crystallography can generate structural snapshot series that are assembled into molecular movies of proteins in action.

The review uses bacteriorhodopsin, photosystem II, and nitric oxide reductase as current study examples for membrane-protein dynamics by XFEL methods.

all-optical platforms provide non-invasive and high-throughput electrophysiological data that is useful for stratification of emerging arrhythmogenic variants and drug discovery

All-optical platforms provide non-invasive and high-throughput electrophysiological data useful for stratifying emerging arrhythmogenic variants and for drug discovery.

A synergistic combination of iPSCs, gene editing, 3D culture models, and all-optical platforms is proposed as a high-throughput template to recapitulate in vitro arrhythmogenic events for personalized monitoring and drug screening.

Chemogenetic and optogenetic manipulations of VTA DA or GABA neurons establish a causal link to heroin reinforcement.

Chemogenetic and optogenetic manipulations of VTA DA or GABA neurons establish a causal link to heroin reinforcement.

Inhibition of DA neurons blocked heroin self-administration

Gene therapy has emerged as a transformative approach, leveraging ... CRISPR-based editing...

Gene therapy has emerged as a transformative approach for podocytopathies using AAV vectors, CRISPR-based editing, and RNA modulation to correct pathogenic mutations or restore disrupted pathways.

Immune responses, vector biodistribution, and disease heterogeneity remain challenges for podocytopathy gene therapy.

We then used CRISPR-Cas9 to engineer the P. aeruginosa phage PaGZ-1 to express these biofilm-disrupting genes. Our findings provide a straightforward method for introducing exogenous genes into non-model P. aeruginosa phage genomes.

we then used CRISPR-Cas9 to engineer the P. aeruginosa phage PaGZ-1 to express these biofilm-disrupting genes

Our findings provide a straightforward method for introducing exogenous genes into non-model P. aeruginosa phage genomes

Here, we used CRISPR/Cas9 (targeting the AAVS1 safe harbor) ... to insert optogenetic and chemogenetic receptors (ChR2/hM4Di) into human iPSCs.

While both systems successfully integrated genes into the genomes of HEK293T cells and iPSCs

receptor expression was detected only in HEK293T cells

Additionally, we summarize recent applications of cutting-edge technologies in the enhancement of heat-tolerant rice varieties, including multi-omics integration, CRISPR/Cas9 genome editing, marker-assisted selection (MAS), and rational design breeding.

Finally, we address current challenges, including integrating regulatory mechanisms, developing realistic heat simulation systems, validating the functionality of candidate genes, and managing trait trade-offs.

Additionally, we summarize recent applications of cutting-edge technologies in the enhancement of heat-tolerant rice varieties, including multi-omics integration, CRISPR/Cas9 genome editing, marker-assisted selection (MAS), and rational design breeding.

This review summarizes current research on innovative molecular approaches, including... CRISPR/Cas9-mediated gene editing... for soybean improvement.

CRISPR/Cas9-mediated gene editing enables precise genetic modification in soybean and has produced improved oil composition, increased isoflavone content, and resistance to biotic stresses.

These molecular breeding approaches overcome limitations of traditional methods by shortening the breeding cycle and allowing simultaneous improvement of multiple traits.

These categories translate into practical workflows, spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

Enzyme and expression valves cap flux capacity, proteome budgeting enforces allocation trade-offs, and thermodynamics and fluxomics provide physical and experimental calibration in multi-omics GEM integration.

Constraint-architecture categories translate into practical workflows spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

These categories translate into practical workflows, spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

Enzyme and expression valves cap flux capacity, proteome budgeting enforces allocation trade-offs, and thermodynamics and fluxomics provide physical and experimental calibration in multi-omics GEM integration.

Constraint-architecture categories translate into practical workflows spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

We demonstrate that RNA outlier analysis enhances variant interpretation and, despite its limitations, is already able to aid clinical variant interpretation.

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

high-throughput approaches, such as microarray-based genotyping

Microarray-based genotyping and next-generation sequencing enable detection of both established and novel blood group variants.

In transfusion medicine, molecular diagnostics have progressed from low-throughput PCR-based methods focused on known polymorphisms to higher-throughput microarray and next-generation sequencing approaches.

Efficient data augmentation approaches based on Markov chain (MCM), Markov chain and multivariate Gaussian (MMCM), Gaussian mixture (GMM) and Copula (CM) were proposed to generate synthetic data from physicochemical parameters, virometry, and PCR-based method.

The results showed that DA-LSTM zero-shot generalization achieved remarkable viral particles prediction performance using MMCM with a mean average coefficient of determination R2 of 0.91, and 0.97 across the sand, and MBR wastewater matrices in region R1, respectively, and R2 of 0.97 across the chlorinated effluent treatment process in region R2.

Dual-attention long short-term memory network (DA-LSTM) with new generative models was proposed to predict viral particles and evaluate the removal efficiencies across AeMBRs, thereby handling effluent processing drifts.

We applied multiplex CRISPR/Cas9 genome editing in Nicotiana benthamiana to simultaneously target five α-1,3-fucosyltransferase genes and two β-1,2-xylosyltransferase genes.

Two T0 lines (HL40 and HL64) exhibited successful edits in all seven target genes, with mutations consisting of single-base insertions and deletions up to 26 bp.

We applied multiplex CRISPR/Cas9 genome editing in Nicotiana benthamiana to simultaneously target five α-1,3-fucosyltransferase genes and two β-1,2-xylosyltransferase genes.

To ensure a systematic review and illustrate advances in engineered capsids that enhance specificity and efficiency, we used Natural Language Processing with Linguamatics i2E to identify neurotropic and ocular AAV capsids tested in non-human primates.

Natural Language Processing and Large Language Models are effective tools for identifying and characterizing engineered neurotropic and ocular AAV capsids in the literature.

The review identified neurotropic and ocular AAV capsids tested in non-human primates using Natural Language Processing with Linguamatics i2E applied to PubMed abstracts.

next-generation sequencing, which enable the detection of both established and novel blood group variants

Microarray-based genotyping and next-generation sequencing enable detection of both established and novel blood group variants.

In transfusion medicine, molecular diagnostics have progressed from low-throughput PCR-based methods focused on known polymorphisms to higher-throughput microarray and next-generation sequencing approaches.

These approaches introduce light-sensitive channels (optogenetic) ... into neurons that form specific circuits.

Circuit-specific manipulation tools are discussed as useful for identifying neural circuits that mediate behavior and for repair of neural connections.

Optogenetic and chemogenetic approaches are reviewed as genetic techniques for gain- and loss-of-function within specific neural circuits.

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

We demonstrate that RNA outlier analysis enhances variant interpretation and, despite its limitations, is already able to aid clinical variant interpretation.

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

Here, we introduce a phage-assisted evolution platform for in vivo optimization of allosteric proteins.

It applies opposing selection pressures to enhance activity and switchability of phage-encoded effectors

Here, we introduce a phage-assisted evolution platform for in vivo optimization of allosteric proteins.

Here, we established a versatile plasmid interference with CRISPR interference (PICI) system in Escherichia coli for rapidly characterizing Acrs and developing Acr-based technologies.

Utilizing the PICI system, we discovered two novel type II-A Acrs (AcrIIA33 and AcrIIA34)

Here, we established a versatile plasmid interference with CRISPR interference (PICI) system in Escherichia coli for rapidly characterizing Acrs and developing Acr-based technologies.

These categories translate into practical workflows, spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

Enzyme and expression valves cap flux capacity, proteome budgeting enforces allocation trade-offs, and thermodynamics and fluxomics provide physical and experimental calibration in multi-omics GEM integration.

Constraint-architecture categories translate into practical workflows spanning enzyme-constrained modelling, thermodynamic embedding, and fluxomics-guided calibration.

Transcriptome analysis revealed that cold-activated genes can be divided into the following two groups

Transcriptome analysis revealed that cold-activated genes can be divided into the following two groups: (1) genes whose expression is enhanced by high light and (2) genes whose expression is not enhanced by high light.

In this study, we have analyzed the transcriptional responses of Arabidopsis to a combination of high light and cold stresses

dLECs from PE pregnancies showed substantially reduced migration, adhesion, morphological differentiation, and decreased lymphatic sprouting in a 3D lymphatic ring assay compared with normal.

Decidual lymphatic endothelial cells from severe preeclampsia have reduced migration, adhesion, morphological differentiation, and lymphatic sprouting compared with controls.

Anchor review confirmed: the 2022 Topics in Current Chemistry article ... is a review of the evolution of the Automatic Rhodopsin Modeling (ARM) workflow from the original semi-automatic protocol to a-ARM, Web-ARM, and the broader PyARM implementation.

The review covers the evolution of ARM from an original semi-automatic protocol to a-ARM, Web-ARM, and PyARM.

This review examines the evidence of the intricate links between sleep and stress in the context of experimental sleep deprivation, and proposes a more sophisticated research framework for sleep-deprivation procedures that could benefit from recent progress in biotechnological tools for precise neuromodulation, such as chemogenetics and optogenetics, as well as improved automated real-time sleep-scoring algorithms.

proposes a more sophisticated research framework for sleep-deprivation procedures that could benefit from recent progress in biotechnological tools for precise neuromodulation, such as chemogenetics and optogenetics, as well as improved automated real-time sleep-scoring algorithms

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

The result is a streamlined implementation of OUTRIDER and FRASER, complemented with Borzoi and MOLGENIS VIP.

We outline details about MR coil configuration, choice, and usage of opsins and chemically and genetically encoded calcium sensors, fiber implantation, appropriate light power for stimulation, and calcium signal detection.

We outline details about MR coil configuration, choice, and usage of opsins and chemically and genetically encoded calcium sensors, fiber implantation, appropriate light power for stimulation, and calcium signal detection.