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 rna-seqblog.com/rnaffinitydb…

Long-read RNA sequencing revealed chimeric RNAs formed from different genes, uncovering a previously unknown protein that regulates inflammation and antibacterial immunity. - @harvardmed rna-seqblog.com/rna-sequenci…

PhD opportunity at the University of Copenhagen! The project will combine RNA sequencing data and machine learning to study RNA localization in neurons, with potential insights into ALS and neurodegeneration. - @UCPH_Research rna-seqblog.com/phd-position…

Researchers used Raman spectroscopy to distinguish 20 SARS-CoV-2 variants through RNA structural fingerprints, demonstrating a potentially faster approach that could complement RNA sequencing in viral surveillance. - @kmu1928 rna-seqblog.com/raman-genome…

Researchers developed CellDiffusion, a tool that improves single-cell RNA sequencing data integration by correcting batch effects while preserving cell identities, enhancing clustering and biological interpretation. - @BUMedicine rna-seqblog.com/celldiffusio…

Researchers used RNA sequencing to reveal sex-specific changes in embryonic brain gene expression associated with advanced paternal age, offering new insights into brain development and potential links to autism. - @TohokuUniPR rna-seqblog.com/advanced-pat…

Researchers used ribosomal RNA sequencing fragments from Ribo-seq data to identify changes in ribosome composition and collisions, revealing new insights into protein synthesis and gene regulation. - @NKI_nl - @oncodeinstitute rna-seqblog.com/ribosome-pro…

Salk researchers used RNA sequencing to map exercise-related gene expression changes across 22 tissues in mice, identifying a 51-gene signature of exercise-trained muscle that could help advance research into muscle health. - @salkinstitute rna-seqblog.com/exercise-is-…

Researchers used single-cell RNA sequencing to reveal how heart failure alters bone marrow cells and promotes inflammatory immune responses, identifying potential targets for preventing further cardiac damage. - @sciencetokyo_en rna-seqblog.com/heart-failur…

Researchers developed RNAmel, an open-source platform that simplifies RNA sequencing analysis by integrating gene expression profiling, pathway analysis and visualization into a reproducible workflow. - @UniBasel_en - @UniBasel rna-seqblog.com/rnamel-simpl…

Researchers developed RiboBA, a tool that improves ribosome profiling data analysis by correcting experimental biases and identifying previously overlooked protein-coding regions, revealing new insights into protein synthesis. #NWAFU rna-seqblog.com/riboba-impro…

Researchers used RNA sequencing and machine learning to identify over 1,500 previously unknown microexons and genetic variants that may disrupt RNA splicing, offering new insights into autism genetics. @UofT @MSKCancerCenter @KingsCollegeLon @TheCrick rna-seqblog.com/overlooked-d…

Lexogen and Mithrl are combining RNA sequencing with AI-powered analysis to help researchers interpret gene expression data in days instead of weeks, accelerating biological insights and drug discovery. - @lexogen - @mithrl_ai rna-seqblog.com/lexogen-and-…

RNA sequencing helped researchers identify ZNF865 as a regulator of cellular aging and DNA damage in spinal discs, revealing a potential therapeutic target for age-related disc degeneration and lower back pain. - @UUtah - @LifespanRI rna-seqblog.com/an-anti-sene…

Researchers developed GARAGE, an AI framework that improves single-cell RNA sequencing analysis by generating realistic synthetic data, preserving rare cell populations and enhancing gene selection and cell clustering. - @AliahEducation rna-seqblog.com/garage-impro…

Researchers at @StJude used single-cell RNA sequencing to identify treatment-resistant neuroblastoma cells and validate a gene signature that improves predictions of patient outcomes in children with this cancer. rna-seqblog.com/scientists-i…

Illumina's SpliceAI2 uses genomic AI to predict RNA splicing disruptions, with RNA sequencing data helping validate its accuracy and supporting the identification of disease-relevant genetic variants. - @illumina rna-seqblog.com/illumina-rel…

Researchers at Chongqing University developed CASREL, a machine learning framework that uses single-cell RNA sequencing to identify potential regulators of alternative splicing in different cell types. - @CQU1929 rna-seqblog.com/machine-lear…

Single-cell RNA sequencing can help reveal the regulatory networks controlling cell behavior. GP-DHT uses these data to predict transcription factor and target gene relationships. rna-seqblog.com/gp-dht-uses-…

RNA sequencing can read Detectron-generated DNA barcodes linked to specific RNA signals. This could enable high-throughput monitoring of many cellular processes at once. - @GladstoneInst rna-seqblog.com/novel-biosen…