Transcriptome Sequencing Research & Industry News

Joined June 2014
657 Photos and videos
RNA sequencing is helping researchers map m6A RNA modifications across intact tissues. The new m6A-ARTR-DBiT technology reveals how RNA regulation varies across different regions of the brain and developing organs. - @UChicago rna-seqblog.com/m6a-artr-dbi…
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RNA sequencing is giving researchers a clearer view of how genetic changes drive cancer within tissues. Perturb-DBiT combines spatial RNA profiling and CRISPR screening to reveal the RNA networks behind tumor growth and metastasis. @Yale @YaleEngineering rna-seqblog.com/perturb-dbit…
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RNA sequencing is uncovering new functions for RNA, including a role in helping complex regulatory proteins fold correctly. The findings suggest RNA is an active participant in building functional proteins. - @MSKCancerCenter rna-seqblog.com/msk-scientis…
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RNA sequencing revealed early gene disruptions and vulnerable brain cell populations in Rett syndrome before symptoms emerged. These findings may help guide future strategies aimed at slowing disease progression. @bcmhouston @TexasChildrens rna-seqblog.com/understandin…
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RNA sequencing combined with STAMP enables researchers to connect gene expression profiles with cell shape and size. This multimodal approach helps validate transcriptional states and provides deeper insight into cellular behavior. - @StJude rna-seqblog.com/new-stamp-te…
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Single-cell RNA sequencing datasets are growing rapidly, creating new challenges for data sharing and reuse. The scFAIR initiative improves data standardization, helping researchers compare, integrate, and interpret datasets more effectively. - @EPFL_en rna-seqblog.com/scfair-conso…
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Single-cell RNA sequencing can reveal remarkable biological detail, but identifying cell types remains challenging. A new multi-AI framework improves annotation accuracy & confidence, helping researchers extract deeper insights from complex datasets. @TAMU rna-seqblog.com/multiple-ai-…
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This eBook explores the latest advances in RNA sequencing, including single-cell analysis, nanopore sequencing, and AI-powered approaches. The collection highlights how transcriptomics is helping researchers better understand disease mechanisms and the... rna-seqblog.com/new-ebook-rn…
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MicroRNA sequencing data has unique characteristics that can challenge traditional analysis methods. NBSR improves the accuracy and sensitivity of detecting microRNA expression changes, helping researchers generate more reliable biological insights.@UR_Med rna-seqblog.com/nbsr-a-negat…
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RNA sequencing revealed that the RBM20 gene uses multiple transcription start sites, producing distinct protein isoforms linked to heart function and cardiomyopathy. - @MDC_Berlin rna-seqblog.com/a-hidden-swi…
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Single-cell RNA sequencing uncovered more than 30 dendritic cell states across cancers, revealing how tumors reshape immune responses. The findings may help guide biomarker discovery and future immunotherapies. - @VIBLifeSciences - @VUBrussel rna-seqblog.com/comprehensiv…
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Single-cell RNA sequencing reveals what cells are doing today, while RNA velocity helps predict where they are headed next. A new benchmark shows why method selection and data quality matter for accurate biological insights. - @UCSF rna-seqblog.com/comparing-rn…
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Single-cell RNA-seq revealed how recurrent IDH-mutant gliomas evolve into more aggressive, treatment-resistant tumors. The findings may help guide future strategies to keep tumors responsive to therapy. @YaleMed @MassGeneralNews @WeizmannScience @univmiami rna-seqblog.com/researchers-…
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Single-cell RNA sequencing helped researchers identify chikungunya virus hiding within joint-associated macrophages, providing clues to chronic disease; may support new antiviral strategies - @CUMedicalSchool - @CUAnschutz rna-seqblog.com/why-chikungu…

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Single-cell RNA sequencing generates complex datasets that can be difficult to cluster accurately. The new AI-based scMVAF framework improves cell identification by integrating multiple views of the data to uncover deeper biological insights. rna-seqblog.com/scmvaf-a-mul…
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Long-read RNA sequencing showed that activated monocytes switch to functional RNA isoforms that help drive immune responses. Capturing full-length transcripts is helping researchers uncover new layers of immune regulation. - @UMCUtrecht - @UniUtrecht rna-seqblog.com/long-read-rn…
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RNA sequencing studies can be affected by hidden confounding factors that mask real biological signals. USADAE uses deep learning to improve transcriptomics analyses by separating biological information from technical noise. - @sysu_1924 rna-seqblog.com/usadae-a-dee…
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Single-cell RNA sequencing is helping researchers uncover how immune cells and fungal pathogens interact during infection, revealing potential biomarkers and therapeutic targets for fungal diseases. - @Uni_Szeged rna-seqblog.com/empowering-f…
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