RNA-Seq Blog

Transcriptome Sequencing Research & Industry News

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing reveals complex patterns across individual cells and tissues. New AI models may help researchers interpret single-cell RNA sequencing and spatial transcriptomics data across multiple biological scales. - @cardiffuni https://t.co/notJ7Gkzpb

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing helped identify mRNAs prone to aggregation, revealing sequence features that may influence RNA solubility and inform the design of mRNA therapeutics. - @WhiteheadInst - @MIT https://t.co/hjvmwP1Psc

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing read length can affect A-to-I editing measurements. Long-read RNA sequencing may improve accuracy by mapping edited reads more reliably to the genome. https://t.co/fuvX4dPKT3

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing can reveal more than RNA abundance. qMAP analyzes RNA fragmentation patterns that may uncover regulatory changes linked to development, disease, reproduction, and aging. - @unevadareno - @unrmed https://t.co/POkoFXvtLb

[RNA-Seq Blog @RNASeqBlog]

hRNA sequencing helped identify the newly discovered Asian longhorned tick nairovirus, highlighting its value for detecting emerging pathogens and distinguishing infections with similar symptoms. - @CAS__Science https://t.co/rVu5RHgoCG

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing accuracy for alternative splicing depends heavily on data quality, sequencing depth, and bioinformatics choices. Large-scale benchmarking helps define more reliable workflows for splice and isoform analysis. https://t.co/GPcShlUr8Z

[RNA-Seq Blog @RNASeqBlog]

Small RNA sequencing revealed distinct snoRNA-derived RNA patterns in healthy blood cells and AML, linking these small RNAs to gene regulation, leukemia biology, and patient outcomes. - @uniklinik_hd https://t.co/iP7KKD9eit

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing links cancer mutations with cell states and gene expression, helping researchers trace clonal evolution, identify resistant populations, and uncover potential therapeutic vulnerabilities. - @IcahnMountSinai - @WeillCornell https://t.co/kaP2dCV3Br

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing of more than 87,000 cells revealed extensive cellular reprogramming during acorn worm metamorphosis, showing how larval cells can adopt new adult identities. - @Stanford - @HopkinsMarine https://t.co/AkxtoOIyfr

[RNA-Seq Blog @RNASeqBlog]

POND-seq enables repeated RNA sequencing from living cells, allowing researchers to track gene expression and RNA-protein interactions over time without destroying the cells. - @PKU1898 https://t.co/tonRUO7TgZ

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing can measure gene activity in individual cells and entire early embryos, helping researchers track how cells specialize and developmental programs emerge. - @univ_paris_cite - @CarnotOpale - @Inserm https://t.co/Fa4Pr9yZTT

[RNA-Seq Blog @RNASeqBlog]

A new live-cell RNA sequencing approach uses virus-like particles to release RNA without destroying cells, allowing researchers to track gene expression changes in the same cell population over time. - @broadinstitute - @MIT https://t.co/0Zm8TRyMcq

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing reveals gene expression patterns, while miRBind2 uses deep learning to predict how miRNAs bind targets and repress genes directly from sequence. - @MasarykUni https://t.co/W9buW8F7MO

[RNA-Seq Blog @RNASeqBlog]

Direct RNA sequencing revealed thousands of chimeric mRNAs that traditional methods often missed, uncovering new layers of gene regulation with potential relevance to immunity, disease, and drug discovery. - @harvardmed https://t.co/vbSbuiewzv

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing captures gene expression at high resolution, and scLS helps reveal how those patterns change along complex pseudotime trajectories in development, disease, and drug response. - @waseda_univ https://t.co/HkkafWWk6I

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing identified 31 neuronal populations in the striatum and revealed gene expression patterns linked to Huntington’s disease, schizophrenia, addiction, and depression. - @MIT - @MIT_Picower - @broadinstitute https://t.co/LMSyhcAIgC

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing is helping researchers identify how shrimp cells and genes respond to white spot syndrome virus, providing new insight into immunity and potential genetic targets for reducing disease losses. -@uniofedinburgh @UniofExeter @UniversidadeUSC https://t.co/9KGwgkrbhu

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing can reveal not only which genes are active, but how quickly RNA is produced and degraded. Spatial NT-seq adds these dynamics while preserving where cells are located in tissue. - @PennMedicine https://t.co/KWzvz73AJf

[RNA-Seq Blog @RNASeqBlog]

CellTypeAI uses local generative AI to improve cell identification in single-cell RNA sequencing while keeping sensitive data under researcher control. - @OfficialUoM - @LydiaBeckerIII https://t.co/GjOHp7tWhq

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing helps SPIDER reduce noise in spatial transcriptomics by providing detailed cell-type information. Combining scRNA-seq with spatial data can improve detection of tissue structures, marker genes, and cell... @UCF @UCFComputerSci https://t.co/uu28MN3jBO