RNA-Seq Blog
@RNASeqBlog
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Transcriptome Sequencing Research & Industry News
Joined June 2014
RNA sequencing uncovers how SARS-CoV-2 alters RNA chemistry in lung cells, offering insight into changes that may weaken antiviral immune responses - @unifesp
rna-seqblog.com
Altered m6A methylation detected by RNA sequencing in lung cell lncRNAs, including UCA1, GAS5 and NORAD, may reshape antiviral responses during SARS-CoV-2 infection...
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RNA sequencing reveals which genes guide the formation of human reproductive organs, offering a cell-by-cell view of development and new insight into fertility and reproductive health - @sangerinstitute - @emblebi
rna-seqblog.com
RNA sequencing and spatial genomics map how human reproductive organs form before birth, revealing key cell types, gene programs, and developmental windows sensitive to environmental disruption...
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RNA sequencing lets researchers track mitochondrial DNA mutations cell by cell, revealing which changes drive cancer growth and which are just along for the ride. - @StJude - @StJudeResearch
rna-seqblog.com
Single cell RNA sequencing reveals how mitochondrial DNA mutation burden shapes metabolic flexibility and cancer growth, highlighting mtDNA as an active contributor to leukemogenesis...
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RNA sequencing reveals gene activity one cell at a time, but key signals can be missed. New single cell RNA sequencing approaches help capture important transcripts and regions for deeper biological insight. - @UZH_en
rna-seqblog.com
Enhanced targeted capture and region-specific sequencing improve single-cell RNA sequencing resolution revealing key transcripts and regions of interest across diverse cell types...
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Single-cell long-read RNA sequencing reveals full-length RNA and alternative splicing differences, offering insights into gene regulation and disease processes - @jcu
rna-seqblog.com
New long-read RNA sequencing methods capture full-length transcripts at single-cell resolution, revealing isoform diversity, cell-type specific splicing and roles in health and disease...
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scRR-seq uses RNA sequencing to track gene activity during S-phase, revealing markers of DNA replication and providing detailed insights into single-cell gene expression - @riken_en
rna-seqblog.com
scRepli-RamDA-seq integrates RNA sequencing and DNA replication profiling in single cells, enabling analysis of gene expression dynamics during S-phase progression and detection of...
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Researchers at @Stanford use RNA sequencing to map how genes influence cellular programs, linking genetic changes to human traits and disease mechanisms.
rna-seqblog.com
By combining genetic effect sizes with RNA sequencing based perturbation data, researchers map causal pathways from genes to cellular programs and human traits...
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A @bcmhouston researcher is using RNA sequencing to improve rare disease diagnosis and advance personalized medicine with new RNA-based treatments. - @TAMESTX
rna-seqblog.com
Pengfei Liu, Ph.D., is recognized for advancing RNA sequencing and genome-based diagnostics, improving rare disease diagnosis...
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RNA sequencing shows how cancer cells use RNA to form growth hubs, offering insights for therapies that target aggressive tumors - @TAMUHealth
rna-seqblog.com
Researchers reveal how RNA sequencing uncovers RNA-driven condensates that power an aggressive kidney cancer and demonstrate a molecular switch that dissolves these growth hubs...
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RNA sequencing shows how polar bears’ gene activity responds to rising temperatures, offering insights into adaptation and survival under climate stress - @uniofeastanglia
rna-seqblog.com
RNA sequencing reveals shifting gene activity in Greenland polar bears, showing how temperature-linked changes in jumping genes may support adaptation to warmer, rapidly transforming Arctic habitat...
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RNA sequencing combined with MUTE-Seq’s precise CRISPR enrichment boosts detection of rare cancer mutations, offering clearer insights for early detection and MRD monitoring. - @MedSchool_KU
rna-seqblog.com
MUTE-Seq - ultrasensitive method to detect low-frequency cancer mutations
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Single-nucleus RNA sequencing shows pancreatic tumors express organ-specific gene programs early, offering clues to predict where they will spread and helping shape more personalized care. - @columbiacancer - @ColumbiaMed
rna-seqblog.com
Pancreatic tumors plan their travels
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Single-cell RNA sequencing reveals how tumor-initiating stem cells hijack neutrophils to resist immunotherapy, offering insights for improving cancer treatment strategies. - @UChicago
rna-seqblog.com
Blood RNA sequencing shows overlapping gene expression across COPD phenotype domains
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Single cell RNA sequencing reveals gene networks in tumors that improve cancer predictions. @LG_AI_Research shows these gene sets aid mutation prediction, subtyping, and treatment assessment.
rna-seqblog.com
Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks
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Single cell RNA sequencing uncovers hidden differences between cells, and D3Impute helps separate real signals from technical zeros for more accurate analysis.
rna-seqblog.com
D3Impute - dropout-aware discrimination, distribution-aware modeling, and density-guide imputation for scRNA-seq data
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RNA sequencing reveals hidden transcript level details that help scientists better understand how cells work. Isoformic makes it easier to uncover these important variations. - @ufmg
rna-seqblog.com
Isoformic - a workflow for transcript-level RNA-seq interpretation
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RNA sequencing within spatial transcriptomics reveals which genes are active in precise tissue regions, and new standardized tools now help researchers ensure their data is accurate and comparable. - @StJudeResearch
rna-seqblog.com
A collaborative project led by St. Jude Children’s Research Hospital has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial transcriptomics provides a unique...
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RNA sequencing helped reveal hidden gene activity in early esophageal precursor cells, offering new insight into how cancer begins at the molecular level. - @MDAndersonNews
rna-seqblog.com
Deciphering cell dynamics via genetic barcoding and single-cell transcriptomics
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Researchers from the @BSC_CNS and @CRGenomica show RNA sequencing reveals thousands of missing transcripts in non-European populations, uncovering ancestry-specific gene expression and disease insights
rna-seqblog.com
Human gene maps are biased towards European ancestries
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PADIT-seq uses RNA sequencing to map transcription factor binding, showing how overlapping sites influence gene expression and how small DNA changes affect traits - @BrighamWomens - @harvardmed
rna-seqblog.com
Multiple overlapping binding sites determine transcription factor occupancy
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