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TAP-seq combines genome editing with targeted RNA sequencing to enable sensitive and cost-effective single-cell functional genomics screens...
RNA sequencing data analyzed with SCITE-RNA enabled reconstruction of cell lineage trees and linked cancer cell evolution to gene expression profiles... The post New method reconst...
Single-cell RNA sequencing is helping researchers uncover cellular responses to fungal pathogens, providing new insights into host-pathogen interactions, biomarkers, and potential...
New single-cell method maps protein-DNA interactions, revealing gene regulation changes and advancing multi-omics studies of health and disease.
A new multi-view learning framework improves clustering of single-cell RNA sequencing data by integrating multiple cellular perspectives to better identify biologically meaningful...
RNA sequencing from more than 22 million cells trained a model that predicts cell-type-specific gene expression and noncoding variant...
RNA sequencing quality improves with scQCenrich, which combines multiple biological and technical metrics to preserve valuable cells while reducing unnecessary filtering... The pos...
RNA sequencing reveals distinct cellular programs and therapeutic targets in rare sinonasal carcinomas, supporting precision oncology approaches tailored to specific tumor subtypes...
RNA sequencing is benefiting from Transformer-based AI models that improve analysis of complex single-cell datasets while supporting more accurate and scalable biological discovery...
D&D‑seq uses a base editor–nanobody fusion to record DNA–protein contacts at single‑cell resolution. The method maps transcription factor and chromatin-remodeling proteins. The...
RNA sequencing workflows using preserved cells enable flexible sample collection and support reproducible single-cell analyses across multiple laboratories and processing platforms...
RNA sequencing combined with artificial intelligence reconstructed single-cell spatial organization from bulk data, revealing immune barriers that may influence colorectal cancer.....
A new RNA sequencing workflow using nanopore technology improves full-length lncRNA isoform discovery, revealing many previously undetected transcripts missed by conventional short...
Amaranth improves transcript reconstruction from RNA sequencing data by modeling different read types, enabling more accurate isoform analysis at single-cell resolution...
RNA sequencing using nanopore direct RNA sequencing enables simultaneous analysis of native RNA molecules, transcript isoforms, RNA modifications, and poly(A) tails for comprehensi...
This collection highlights how RNA sequencing is advancing transcriptomics research, from single-cell analysis and disease mechanisms to nanopore sequencing and AI-driven data inte...
Advances in RNA sequencing and spatial transcriptomics are revealing complex tumor ecosystems and enabling AI-driven approaches to improve precision immunotherapy and cancer treatm...
STAMP combines imaging and RNA sequencing to link cell morphology with gene expression, enabling researchers to connect molecular profiles directly to observable cellular... The po...
A multi-model AI framework improves cell type annotation accuracy for single-cell RNA sequencing data, helping researchers interpret complex cellular populations with greater.... T...
by Julia Pilarski, Tanja Stadler, Sophie Seidel Multicellular organisms develop from a single cell by repeated rounds of cell division, differentiation, and death, which can be re...
Advanced RNA sequencing methods, including IRISeq and EnrichSci, uncover spatial interactions and molecular changes linked to aging in vulnerable brain cell populations...
A new consortium framework improves how RNA sequencing datasets are standardized, annotated, and shared, enabling more reliable integration and reuse of single-cell transcriptomic...
Single-cell RNA sequencing identified distinct photoreceptor developmental states that may improve retinal cell transplantation and advance therapies aimed at restoring vision... T...
This Parse Biosciences and bit.bio alliance combines single-cell RNA sequencing and causal transcriptomics to map transcription factor-driven cell identity, enabling improved disea...
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