Single-cell and single-embryo RNA sequencing
Single-cell and single-embryo RNA sequencing enables detailed analysis of gene expression and cell identity during the earliest stages of embryonic development...
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Single-cell and single-embryo RNA sequencing enables detailed analysis of gene expression and cell identity during the earliest stages of embryonic development...
RNA sequencing analysis with scFlowReport integrates differential expression, pathway enrichment, regulatory networks and cell communication into a reproducible workflow for compar...
GARAGE uses artificial intelligence to generate realistic single-cell RNA sequencing data, improving rare cell representation, gene selection and cell clustering in complex biologi...
RNA sequencing references combined with CellART help identify individual cells and cell types within high-resolution spatial transcriptomics data across multiple...
A new RNA sequencing analysis method uses the Lomb-Scargle periodogram to efficiently identify genes associated with pseudotime across complex single-cell trajectories...
Creative Biolabs expands RNA sequencing and multi-omics services to profile individual cells and nuclei, supporting biomarker discovery...
RNA sequencing data provide a real-world framework for comparing differential transcript usage methods across bulk, single-cell, spatial, long-read, and short-read transcriptomics....
by Xiang Chen, Zihan Yang, Xiaoyu Liu, Zhiyi Xie, Wenlu Guo Paired single-cell multi-omics technologies provide direct within-cell correspondence across molecular layers and offer...
CellTypeAI combines local generative AI with biological context to improve cell annotation accuracy in single-cell RNA sequencing while helping researchers keep sensitive data priv...
by Ritwik Ganguly, Sana Aafrine, Sk Md Mosaddek Hossain, Sumanta Ray A central challenge in downstream single-cell RNA sequencing (scRNA-seq) analysis is the high-dimensional, sma...
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes ov...
by Alexandre Coudray, Romain Forey, Benjamin Bejar Haro, Filipe Martins, Joana Carlevaro-Fita, Shaoline Sheppard, Sandra Eloise Offner, Gioele La Manno, Guillaume Obozinski, Didier...
Scientists have built a search engine that can scan data from millions of single cells from thousands of experiments worldwide in seconds. The tool makes it possible to answer prev...
RNA sequencing at single-cell resolution reveals cellular diversity in the Aedes aegypti midgut and provides a method for investigating mosquito responses to pathogens...
Single-cell RNA sequencing combined with GP-DHT helps predict transcription factor and target gene relationships, providing a...
RNA sequencing combined with Cell2space reconstructs spatial domains and cell neighborhoods, helping researchers recover tissue organization lost during single-cell sample preparat...
Small RNA sequencing reveals cell-specific sdRNA patterns in AML and healthy hematopoiesis, linking certain snoRNA-derived RNAs to gene regulation and poorer patient outcomes...
SPIDER uses single-cell RNA sequencing references to reduce noise in spatial transcriptomics, improving gene expression patterns, tissue structure identification...
Single-cell RNA sequencing links somatic mutations with cell states, helping researchers trace clonal evolution and identify phenotypes associated with cancer progression and treat...
ResolVI improves spatial RNA sequencing analysis by correcting RNA assignment errors and technical variation, helping researchers distinguish cell states and detect subtle gene exp...
by Chengkai Yang, Yu Liao, Ying Sheng, Feng Jiao Single-cell transcriptomic data exhibit pervasive zero inflation, while traditional models either neglect this issue or fail to ca...
CellDiffusion improves single-cell RNA sequencing data integration by correcting batch effects while preserving cell identities and developmental trajectories, enhancing clustering...
ARCADIA integrates single-cell RNA sequencing with spatial proteomics to reveal how tissue neighborhoods influence B-cell maturation, T-cell activation, and other transcriptional p...
Single-cell RNA sequencing reveals how lymphatic-derived Reelin influences epicardial cells, fibroblasts and growth signaling involved in heart development and potentially cardiac...
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