Top Tweets for #ScRNAseq
単一細胞RNAシーケンス(scRNA-seq)は両生類組織の「細胞解剖学(cellular anatomy)」を再定義中。アホロートル再生芽の細胞型カタログが2024-25年に完成しつつあります。 #scRNAseq
🚨 Early Bird Discount EXTENDED!
Still thinking about learning Single-Cell RNA-Seq analysis? This is your chance.
🔗 Register: https://t.co/BOcsCCFVHI
#scRNAseq #Bioinformatics #SingleCell #Genomics #ComputationalBiology #OmicsNexus
Uncover cellular heterogeneity! 🔬 Go beyond bulk RNA-seq and master scRNA-seq workflows—from quality control to clustering and cell type annotation using Cell Ranger and Seurat.
📅 July 13–16, 2026
🔗 Register: https://t.co/mMudfceL5p
#scRNAseq #Bioinformatics #NGS
Using #scRNAseq, researchers identified prolactin signaling as a key pathological driver and potent #TherapeuticTarget in #Adenomyosis, providing insights into disease-associated cellular and molecular alterations. @PKU1898
#STTT #OpenAccess: https://t.co/5cI4HjNCxx
⏳ Early Bird Discount Ends Today!
Learn how real scRNA-seq analysis works — from raw data to biological discovery — in our 3-day hands-on workshop.
🔗 Register: https://t.co/BOcsCCFnSa
#scRNAseq #Bioinformatics #SingleCellRNASeq #OmicsNexus
2/TAP-seq focuses scRNA-seq on a gene panel you define upfront instead of sequencing everything.
Up to 50x reduction in sequencing costs. Better sensitivity for the genes that actually matter.
#scRNAseq #SingleCell #CRISPR #Genomics #Transcriptomics #RNAseq #PerturbSeq #TAPseq
1/ Sequencing the entire transcriptome for every perturbation is too expensive.
This workflow offers a solution. 🧵
#Trinobia #Bioinformatics #scRNAseq #SingleCell #CRISPR #Genomics #Transcriptomics #RNAseq #PerturbSeq #TAPseq #NextGenSequencing #NGS #ComputationalBiology
⏳ 3 days left for the Early Bird Discount!
Learn how real scRNA-seq analysis works — from raw data to biological discovery — in our 3-day hands-on workshop.
🔗 Register: https://t.co/BOcsCCFVHI
#scRNAseq #Bioinformatics #SingleCellRNASeq #OmicsNexus
To wrap up National Cancer Research Month, we're highlighting some of the incredible work being done by researchers in our newest cancer guide 👉https://t.co/PQYCMygpvT
#UnitedByCancerResearch #NationalCancerResearchMonth #scRNAseq #oncology
Matteo Marchionni will present scPleiades, a new multi-omics analytical pipeline designed to overcome high noise levels, dropout events, and signal contamination in single-cell and spatial omics for more accurate cell phenotyping. 🧬📊
#Bioinformatics #scRNAseq #BITS2026
Matteo Andriolo at #BITS2026 presents ArchetypalC, a high-performance C++ implementation of Archetypal Analysis for large-scale single-cell data.
#Bioinformatics #ScRNAseq
Xenopus laevisは脊椎動物発生研究のモデル生物として100年以上活躍。2024年、Tabula RanaプロジェクトでXenopus胚の単一細胞アトラスが完成しました🐸
#Xenopus #TabulaRana #scRNAseq
アホロートル芽体（blastema）では、線維芽細胞が「位置情報を持ったまま脱分化」することがscRNA-seqで確認。完全な脱分化ではなく「部分的リプログラミング」が再生の本質です💡
#Blastema #scRNAseq #細胞リプログラミング
Single-cell sequencing is reshaping oncology drug development. 🧬
Tumors are not uniform—cell by cell matters.
New blog on immunotherapy, resistance, and T cell tracking.
https://t.co/LmzXzYK8t5
#SingleCell #scRNAseq #Oncology
We’re excited to see SeekGene’s Single Cell Full-length RNA Sequence Transcriptome-seq（scFAST-seq） platform supporting new discoveries published in Cell.
#SingleCell #Transcriptomics #scRNAseq #Genomics #Biotech #scFAST-seq
Resolve cellular heterogeneity with Novogene Single-Cell RNA Sequencing (scRNA-seq). Using 10x Genomics Chromium and Illumina, profile expression at individual cell level for immunology, development, cancer & beyond. #scRNAseq #SingleCell #Transcriptomics https://t.co/ZBlpogAJaA
Insightful talk by Jae Hyun Byun at #EASCongress2026 on #stable vs #unstable plaques in humans using #scRNAseq, showing that unstable plaques have fewer #VSMCs overall but more #leukocytes, with remaining VSMCs shifting toward inflammatory/synthetic states.
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