Explore tweets tagged as #single_cell_transcriptomics
Single Cell Biology journal welcomes groundbreaking research on genomics, transcriptomics, proteomics, & cellular mechanisms at single-cell resolution. Share your discoveries with a global scientific audience. 🌐 https://t.co/DAcSsnP7ZM
#SingleCellBiology #LifeSciences #Research
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Hoover, Hacohen @broadinstitute, Davidson @NorthwellHealth et al. analyze the intrarenal myeloid compartment in four #lupus #nephritis mouse models and 155 humans using single-cell profiling, spatial transcriptomics, and functional studies. https://t.co/jbszCclS93
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Mapping early human 🩸blood cell differentiation using single-cell proteomics and transcriptomics 🇩🇰🇩🇪@ScienceMagazine @Bo_Porse @erwinschoof @fabian_theis @bfurtwa @NilUresin @_sabrinarichter
https://t.co/JFk0e3RPsl
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What an incredible final session of the day at @BSMB1, diving into Transcriptomics and Single Cell-Omics! Thanks to our sponsor talk, Parse Biosciences, and to our invited speakers, Prof. Snelling and Dr. Brenes. #BSMB2025 #BSMB #UncoveringtheMatrisome #Conference #TheMatrisome
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Identifying malignant cells in single-cell transcriptomics data – from first principles to computational solutions, framed around the hallmarks of cancer. New review from the lab! https://t.co/Y7mRnfDuyo
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Mapping dynamic regulation of gene expression using single-cell transcriptomics and application to complex disease genetics @egamazon @DMRuderfer and colleagues @GeneticsSociety members' research highlight from @HGGAdvances
https://t.co/NDSw8Ovc3C
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New OA Article: "Single-cell transcriptomics reveal how root tissues adapt to soil stress" https://t.co/Pzerj1sXJa With News & Views: "Environmental cues shape root barriers" https://t.co/tZucViCMJ5
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Single-cell and spatial transcriptomics atlas of human atherosclerosis❗️ 👉scRNAseq: 10 carotid/coronary plaque vs. 3 control samples from 4 studies 👉Spatial transcriptomics with 10x Visium: 12 coronary plaques @NatureCVR
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Pangenomics and single-cell transcriptomics uncover the genetic basis of continuous bearing trait in grapevine
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Single-cell transcriptomic and genomic changes in the ageing human brain. #SingleCel #scRNAseq #Transcriptomics #Genomics #HumanBrain @nature
https://t.co/HtP8Poao34
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🚀New insights into liver injury and regeneration from single-cell transcriptomics 📄Comparison between single-cell RNA sequencing and single-nucleus RNA sequencing in liver research. #LiverDiseases #AcuteLiverFailure #SingleCellGeneExpressionAnalysis #Inflammation
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📝 New review in eGastroenterology! 🔬 New insights into liver injury and regeneration from single-cell transcriptomics 👨🔬 By Prof. Cynthia Ju & Dr. Yankai Wen from the University of Texas Health Science Center at Houston ➡️ It highlights the transformative impact of
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We are thrilled to share our new single-cell foundation model, Tabula (preprint: https://t.co/tkCi2l5KFi; package: https://t.co/bwkkgZBVnh)—a privacy-preserving predictive foundation model for single-cell transcriptomics, leveraging federated learning and tabular modeling. Over
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Scientists led by Dr. David Cheresh showed that ITGB3 promotes #PDAC initiation and progression. Single-cell transcriptomics reveal that ITGB3 expression is enriched in PDAC cells experiencing oxidative stress due to #chemotherapy. 💡 More here: https://t.co/kwSmvVSLOv
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🧬 Attending A-RNA this week? Come see how we help fuel #RNA discovery. Featuring: • @NorgenBiotek sample prep kits • @10xGenomics single cell & spatial transcriptomics • @unchainedlabs' #StunnerAF - the Ultimate #LNP Characterisation Tool #RNABiology
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Researchers developed a cell type specific, multi-target drug discovery strategy using human data, including single cell transcriptomics, drug response databases, and clinical records. Using this approach, they identified a drug combination -letrozole (targeting neurons) and
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Led by Sidrah Maryam, our new tool for Visualization of Cell-Cell Communication in Single-Cell transcriptomics data
Pathway-Centric Visualization of Cell-Cell Communication in Single-Cell Transcriptomics Data https://t.co/2DItpADAr8
#biorxiv_bioinfo
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Excited to share an update on our collaboration with Aviv Regev and Collin Stultz, led by Charles Comiter: predicting single-cell spatial transcriptomics from H&E images using SCHAF. New models, new datasets, and new discoveries. https://t.co/ZCLAnzFHsr
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scVizComm: Pathway-Centric Visualization of Cell-Cell Communication in Single-Cell Transcriptomics Data https://t.co/OUV4miSmDG
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