RNA-Seq Blog

Transcriptome Sequencing Research & Industry News

[RNA-Seq Blog @RNASeqBlog]

Long-read RNA sequencing helps identify alternative RNA transcripts and uncover gene regulation. A new machine learning tool improves transcriptome reconstruction accuracy, providing deeper insights into cellular function and disease - @Shandongdaxue https://t.co/7VTkrL5XUY

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing reveals the diversity of cells in human tissues. A new statistical framework helps researchers determine when sequencing is sufficiently complete, improving efficiency and reducing costs. - @helsinkiuni https://t.co/BhYygU0ris

[RNA-Seq Blog @RNASeqBlog]

Nanopore RNA sequencing combined with deep learning enables 98.2% accurate tRNA identification and detects chemical modifications in individual molecules, providing new insights into RNA regulation and protein production. @UTokyo_News_en @UTokyo_Rcast_en https://t.co/vR2G7ipy4R

[RNA-Seq Blog @RNASeqBlog]

A new computational tool, DeMixNB, improves the identification of tumor-specific gene expression, offering valuable insights into breast and lung cancer. @bcmhouston @UTMDAnderson https://t.co/WypZNwGLGo

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing helps researchers understand how RNA molecules move between plant tissues. A new computational tool, mobileRNA, improves detection accuracy, providing new insights into plant communication and development. - @unibirmingham https://t.co/bG05UoFIz9

[RNA-Seq Blog @RNASeqBlog]

RNA sequencing and a new computational tool called Species-OT help identify genes with similar functions across species, offering insights into gene regulation, stem cell development, and human biology. - @Ashbi_KyotoU - @KyotoU_News - @univkyoto https://t.co/5rSN8Oqzqk

[RNA-Seq Blog @RNASeqBlog]

Single-cell RNA sequencing enabled researchers to map over 600,000 cells across an entire adult vertebrate, revealing gene activity patterns and new insights into brain regeneration and tissue repair. - @WhiteheadInst https://t.co/pz4eLT3Cqu

[RNA-Seq Blog @RNASeqBlog]

Tempus AI’s xR assay receives European IVDR certification, expanding access to RNA sequencing that detects actionable gene fusions and splice variants, supporting more personalized cancer treatment. - @TempusAI - @EU_Commission https://t.co/TASM05hkE3

[RNA-Seq Blog @RNASeqBlog]

University at Albany researchers are advancing mass spectrometry-based RNA sequencing to map RNA modifications with unprecedented precision, potentially revealing disease mechanisms and new opportunities for diagnostics and RNA therapies. - @ualbany https://t.co/x4WPjHlU3T

[RNA-Seq Blog @RNASeqBlog]

Researchers used nanopore RNA sequencing to identify candidate sequence patterns associated with RNA modifications, offering new insights into RNA regulation and improving the potential for more accurate modification detection. - @UnimedizinMainz https://t.co/CoLNKaXAiK

[RNA-Seq Blog @RNASeqBlog]

Researchers developed SpliceCOV, a machine learning tool that filters noise from RNA sequencing data, improving transcriptome assembly, splice-site identification and gene annotation. - @JohnsHopkins - @JHUCompSci https://t.co/SXwZ5yfQjZ

[RNA-Seq Blog @RNASeqBlog]

Researchers identified nearly 8,000 RNA editing events in squid, revealing how RNA modifications alter protein function and highlighting the value of RNA sequencing in understanding protein diversity. - @QBI_UCSF - @UCSF - @MBLScience https://t.co/Lil1HnS8S7

[RNA-Seq Blog @RNASeqBlog]

Long-read RNA sequencing revealed over 149,000 RNA isoforms in lung tumors, identifying STAT2 splicing patterns linked to immunotherapy response and potential biomarkers for personalized cancer treatment. - @jacksonlab https://t.co/AxTQu5olM2

[RNA-Seq Blog @RNASeqBlog]

Researchers combined RNA sequencing and spatial transcriptomics to reveal cellular changes driving right ventricular heart failure, identifying early molecular changes and potential therapeutic targets. - @PennMedicine https://t.co/BfDTZYsoQ0

[RNA-Seq Blog @RNASeqBlog]

Researchers used RNA sequencing to identify stem cell differentiation markers and developed DeepDiff, a machine learning tool that classifies early cell fates and improves analysis of stem cell development. - @HHU_de https://t.co/g1hC38RvZd

[RNA-Seq Blog @RNASeqBlog]

Stanford researchers analyzed single-cell RNA sequencing data from one million neutrophils, revealing distinct immune cell populations and gene signatures linked to infection, cancer and patient outcomes. - @StanfordMed https://t.co/XbinZJfDTF

[RNA-Seq Blog @RNASeqBlog]

Researchers developed circMAC, an AI tool that predicts microRNA binding sites on circular RNAs, complementing RNA sequencing research and improving our understanding of RNA-mediated gene regulation. - @PusanUni https://t.co/NI1KIuykoe

[RNA-Seq Blog @RNASeqBlog]

Yale researchers improved RNA extraction from precision-cut human lung slices, enabling more reliable RNA sequencing to study gene expression, lung disease and responses to potential treatments. - @YaleMed https://t.co/uLo2OnKPZM

[RNA-Seq Blog @RNASeqBlog]

Researchers developed recordanelles that preserve RNA for days, allowing single-cell RNA sequencing to capture past gene activity and reveal temporary cellular responses that conventional methods may miss. - @ETH_en - @ETH https://t.co/9OExWZUHMj

[RNA-Seq Blog @RNASeqBlog]

RNAffinityDB brings together over 10,000 RNA-protein binding records, helping researchers interpret RNA sequencing data and investigate how RNA sequences influence protein interactions and gene regulation. - @UniHeidelberg https://t.co/3y3bfCbUOA