Top Tweets for #RNAisoform
Exciting new research coming from @bioinfo_mark and Madeline Page on their work exploring #RNAisoform diversity across tissues! Can't wait! #ScienceExcellenceExciting
Thrilled about our 2nd official #EbbertLab paper submitted by Madeline Page💪, ‘Surveying the landscape of #RNAisoform diversity and expression across 9 #GTEx tissues using #longread sequencing data’. Data by @g_dafni @tuuliel @beryl_bbc @BernardoHeberle @JaBrandon11 @ONT https://t.co/wBM369mNKj
Along with our preprint on @biorxivpreprint #biorxiv_genomic, an #AI generated summary of our research is available by @Science_Cast https://t.co/CQoGw9lbQD. #AccessibleScience
Shout out to Glinos et al. (@g_dafni) for their initial work in @Nature! Combining their #longread #RNAseq data with our results (https://t.co/CjjgxHgwrP)—we broadly characterized the RNA isoform diversity & expression landscape across tissues. #ThankYou #Transcriptomics #GTEx #Science
With roughly 20k human protein-coding genes and 100s of thousands of distinct proteins, understanding the intermediary—#RNAisoforms— is crucial for understanding human health and disease. Long-read sequencing (e.g., #ONT and #PacBio) makes their study possible, including the ~30k non-coding gene bodies.
Our work not only quantifies isoforms by tissue, but identifies genes that express many isoforms simultaneously, where 25 genes express ≥10 isoforms in cerebellum alone! We further validated the 447 new isoforms discovered in Aguzzoli-Heberle and Brandon et al. (including from new gene bodies).
RNA isoforms, though a known phenomenon, are incredibly understudied, and the #EbbertLab is setting out to help change that. With many projects involving #Alzheimers (#WeBackPat; @WeBackPat), direct RNA, structural variants, and single-cell, we are excited to be in our ‘publishing era’ @taylorswift13. #TaylorSwift #ErasTour
Immense gratitude to Madeline Page @NIHAging @NIGMS @_BrightFocus @alzassociation @PhRMAfoundation @FLDeptofHealth @HealthyFla @BernardoHeberle @JaBrandon11 @SylabsIO @UKSBCoA @universityofky. Your work, dedication, and funding are pivotal in advancing not only our research, but the field as a whole. #Appreciation #Genomics #research #ONT
Look for the publication soon!🤞
Thrilled about our 2nd official #EbbertLab paper submitted by Madeline Page💪, ‘Surveying the landscape of #RNAisoform diversity and expression across 9 #GTEx tissues using #longread sequencing data’. Data by @g_dafni @tuuliel @beryl_bbc @BernardoHeberle @JaBrandon11 @ONT https://t.co/wBM369mNKj
Along with our preprint on @biorxivpreprint #biorxiv_genomic, an #AI generated summary of our research is available by @Science_Cast https://t.co/CQoGw9lbQD. #AccessibleScience
Shout out to Glinos et al. (@g_dafni) for their initial work in @Nature! Combining their #longread #RNAseq data with our results (https://t.co/CjjgxHgwrP)—we broadly characterized the RNA isoform diversity & expression landscape across tissues. #ThankYou #Transcriptomics #GTEx #Science
With roughly 20k human protein-coding genes and 100s of thousands of distinct proteins, understanding the intermediary—#RNAisoforms— is crucial for understanding human health and disease. Long-read sequencing (e.g., #ONT and #PacBio) makes their study possible, including the ~30k non-coding gene bodies.
Our work not only quantifies isoforms by tissue, but identifies genes that express many isoforms simultaneously, where 25 genes express ≥10 isoforms in cerebellum alone! We further validated the 447 new isoforms discovered in Aguzzoli-Heberle and Brandon et al. (including from new gene bodies).
RNA isoforms, though a known phenomenon, are incredibly understudied, and the #EbbertLab is setting out to help change that. With many projects involving #Alzheimers (#WeBackPat; @WeBackPat), direct RNA, structural variants, and single-cell, we are excited to be in our ‘publishing era’ @taylorswift13. #TaylorSwift #ErasTour
Immense gratitude to Madeline Page @NIHAging @NIGMS @_BrightFocus @alzassociation @PhRMAfoundation @FLDeptofHealth @HealthyFla @BernardoHeberle @JaBrandon11 @SylabsIO @UKSBCoA @universityofky. Your work, dedication, and funding are pivotal in advancing not only our research, but the field as a whole. #Appreciation #Genomics #research #ONT
Look for the publication soon!🤞
Using deep long-read RNAseq in Alzheimer's disease brain to assess clinical relevance of RNA isoform diversity
#AD #RNAisoform
👉 https://t.co/11vpyp6EtZ
👉 https://t.co/ShDgmDIZOd
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