🌟 Editor's Choice Paper 📖 Genetically Informed Single-Cell Analysis Reveals PLXND1 as a Cell-Type-Specific Molecular Switch in MASLD ✍️ By Xianyi Ma et al. 🔗 Read the full article: brnw.ch/21x3dWf #MASLD #PLXND1 #MendelianRandomization #SingleCellTranscriptomics

This study uses #SingleCellTranscriptomics to identify C0 Atcayos cardiomyocytes that interact with #fibroblasts via Bmp6 and Fgf1 signaling after #IschemiaReperfusion, uncovering pathways that could reduce #fibrosis and help preserve #cardiac function. Read: bio-integration.org/single-c…

🧬 New insight in inflammation research Find More Research: pubmed.ai/results?q=Interpre… What if inflammation isn’t best understood one disease at a time — but as a shared, interpretable immune landscape across circulating cells? Recent advances in single-cell transcriptomics now allow researchers to map inflammation at unprecedented resolution, capturing how circulating immune cells behave across infections, immune-mediated diseases, and cancer. Key findings highlight 👇 • A holistic inflammation atlas spanning diverse disease contexts • Large-scale single-cell datasets enabling cross-disease comparison • An interpretable framework for inflammation-based disease classification • Mechanistic insights into immune-cell-driven inflammatory programs • The potential of circulating immune states as living biomarkers Why it matters This work moves inflammation research beyond fragmented, disease-specific models toward a unified, cell-resolved framework. By integrating advanced single-cell technologies with extensive patient data, this approach links molecular mechanisms to clinical phenotypes—supporting improved disease stratification, biomarker discovery, and more targeted therapeutic strategies. 🧩 A step toward interpretable, systems-level inflammation biology. #Inflammation #SingleCellTranscriptomics #Immunology #SystemsBiology #AcademicTwitter

Interested in applying #singlecelltranscriptomics to a difficult tissue? Please check out this #new preprint from Dorian Xenakis. Important read for experimental design and analysis! @scastesparraka @UCLchildhealth @GGM_ICH biorxiv.org/content/10.1101/…

Protein large language model assisted one-to-one gene homology mapping in cross-species single-cell transcriptome integration 1. A new study presents a novel approach to cross-species single-cell transcriptome integration by improving gene homology mapping, which is crucial for comparative analysis of gene expression profiles across different species. 2. The traditional Ensembl homology tables often lead to many-to-many mappings that can introduce noise and complicate biological interpretation. This study proposes a one-to-one mapping strategy using a protein large language model (pLLM) to enhance accuracy and biological relevance. 3. The pLLM-based method integrates sequence similarity with high-dimensional embeddings derived from the model, resulting in a fused mapping approach that significantly outperforms existing methods in a comprehensive benchmark across nine datasets, 11 species, and over 3.2 million cells. 4. The study demonstrates that the one-to-one mapping strategies effectively reduce gene-family-driven noisy clusters and improve species mixing and cell-type separation, leading to clearer biological signals. 5. Additionally, the pLLM-based approach uncovers previously unannotated cross-species marker-gene pairs, including those between evolutionarily distant species, facilitating novel discoveries in comparative genomics. 6. The fused mapping strategy, HL_O2O, combines the strengths of both sequence-based homology and pLLM-derived embeddings, recovering biologically meaningful gene pairs that are typically lost under strict homology filters. 7. The findings highlight the importance of integrating sequence and representation-based evidence for accurate cross-species single-cell transcriptome integration, providing a robust framework for future comparative biological studies. 📜Paper: biorxiv.org/content/10.1101/… #ComputationalBiology #GeneHomology #SingleCellTranscriptomics #CrossSpeciesIntegration #ProteinLanguageModel

Out Now! A single-cell transcriptomic atlas reveals senescence and inflammation in the post-tuberculosis human lung bit.ly/3TBbY4z #SingleCellTranscriptomics #Tuberculosis #LungHealth

Garlic clove virus study reveals meristem defense & glutathione role! 🧬🛡️ #SingleCellTranscriptomics #GarlicVirusImmunity @OxfordJournals Details: doi.org/10.1093/hr/uhae365

Single Cell and Spatial Omics lab launched at UKDRI. Currently a team of two - manager and bioinformatifian Daria and me - technician #singlecelltranscriptomics #ukdri #universitycollgelondon #omics

Myeloma Paper of the Day, April 19th, suggested by @Myeloma_Doc @NatureCancer oncodaily.com/52587.html #oncodaily #oncology #cancer #myeloma #breastcancer #researchpaper #PERCEPTION #singlecelltranscriptomics #treatmentresponse

🚨Live at 11 am PT! "Tabula Sapiens,” live #dkNET #webinar - Join us now: dknet.org/about/blog/2726 #CellAtlas #SingleCellTranscriptomics #Transcriptomics #GeneExpression #RNAseq #proteomics #humanreference #humanatlas

Have you registered for our #webinar on “Tabula Sapiens”? Check out the #dkNET blog below for info: dknet.org/about/blog/2726 #CellAtlas #SingleCellTranscriptomics #humanreference #humanatlas

Congratulations Lidia and Anrather lab! #RNAscope #Singlecelltranscriptomics #scRNAseq #stroke #ischemia

@AnitaScoonesPhD (Postdoctoral Researcher, Macaulay lab, @EarlhamInst) will be with us at #FOG2024 to discuss long-read approaches for isoform resolved #singlecelltranscriptomics. Want to hear more? Register here and join us in London: hubs.la/Q02f_TWj0

#OnlineFirst: #SingleCellTranscriptomics reveals pre-existing COVID-19 vulnerability factors in #LungCancer patients, by Wendao Liu, @wli2019, and @zzhao_bioinfo. bit.ly/41XvzPr @MDAndersonNews @utsystem

🧬 Wrapping up an incredible 4-day journey at #ILS Bhubaneshwar! 🚀 Our hands-on workshop on single-cell transcriptomics with BCR/TCR profiling using the 10x Genomics platform was a resounding success. 🎉👋 #SingleCellTranscriptomics #GenomicsWorkshop #ResearchSuccess

Into the World of #Transcriptomics, #Viraltranscriptomics, #Singlecelltranscriptomics. #VEME2023, #Bioinformatics, #Stellenbosch, #SouthAfrica. Thank you Prof. Richard Scheuermann and Zack Wallace from @JCVenterInst. @ceri_news , @Tuliodna , @cam_crid.

Huge opportunity for analysis of leading edge technology #spatialbiology #spatialtranscriptomics analysis of preclinical &clinical datasets #multiomic #singlecell #subcellular #transcriptomics #bioinformatics #computationalbiology #bioinformaticsjobs #singlecelltranscriptomics

Congratulations to Sumitava Roy (PI: @MaitraArindam) for presenting a #poster on his work on #singlecelltranscriptomics of OSCC-GB at #EACR2023 in Itlay. Thanks to @ICMRDELHI and @FollowDbtNibmg for supporting his travel grant & @ugc_india for his fellowship. @DBTIndia

This insightful preprint sheds light on the cellular and molecular mechanisms underpinning the body’s immune response to malarial infection. Check out the full preprint here biorxiv.org/content/10.1101/… #CurioSeeker #SpatialTranscriptomics #SingleCellTranscriptomics #MalariaResearch

Revolutionizing T cell profiling with novel Slide-TCR-seq workflow using Slide-seq technology. Discover the details in the full article cell.com/immunity/fulltext/S… ! #CurioSeeker #SpatialTranscriptomics #SingleCellTranscriptomics #Immunology #CancerResearch