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10.1016/j.jbc.2025.110581 http://scihub22266oqcxt.onion/10.1016/j.jbc.2025.110581 40784458!ä!40784458 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=40784458&cmd=llinks): Failed to open stream: HTTP request failed! 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A Single Cell Multiomics Approach for Simultaneous Analysis of Replication Timing and Gene Expression |pdf=|usr=}}{{40784458}} gab.com Text A Single Cell Multiomics Approach for Simultaneous Analysis of Replication Timing and Gene Expression JO: J Biol Chem http://www.kidney.de/pget.php?&tw=1&pmid=40784458 #FOAvip Replication timing (RT) allows us to analyze temporal patterns of genome-wide replication, i.e., if genes replicate early or late during the S-phase of the cell cycle. RT has been linked to gene expression in normal and diseased acute and chronic states such as cancer. However, studies done to date focused on bulk cell populations that required tens of thousands of cells for RT analysis. Here, we developed an affordable novel single cell (sc)-multiomics approach to simultaneously analyze RT and gene expression from cells or nuclei. We used this approach to generate sc-RT profiles and sc-gene expression data from the well-established human liver cancer cell line, HepG2. We demonstrated that as few as 17 mid S-phase cells were sufficient to produce cell-type specific pseudo bulk RT profiles that had a high correlation to previously published HepG2 bulk RT profiles. The sc-RT profiles allowed us to visualize how individual cells progressed through genome replication. We were also able to demonstrate cell-specific correlations between RT and gene expression, which to our knowledge, has not been reported. We observed trends that were conserved between individual cells, as well as cell-to-cell variations, which were not possible to detect with the bulk RT studies. Twit Text FOAVip A Single Cell Multiomics Approach for Simultaneous Analysis of Replication Timing and Gene Expression ????J Biol Chem http://www.kidney.de/pget.php?&tw=1&pmid=40784458 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=40784458 #FOAvip English Wikipedia <ref>{{Cite pmid|40784458}}</ref> A Single Cell Multiomics Approach for Simultaneous Analysis of Replication Timing and Gene Expression #MMPMID40784458 Shetty AV; Steer CJ; Low WC J Biol Chem 2025[Aug]; ä (ä): 110581 PMID40784458show ga Replication timing (RT) allows us to analyze temporal patterns of genome-wide replication, i.e., if genes replicate early or late during the S-phase of the cell cycle. RT has been linked to gene expression in normal and diseased acute and chronic states such as cancer. However, studies done to date focused on bulk cell populations that required tens of thousands of cells for RT analysis. Here, we developed an affordable novel single cell (sc)-multiomics approach to simultaneously analyze RT and gene expression from cells or nuclei. We used this approach to generate sc-RT profiles and sc-gene expression data from the well-established human liver cancer cell line, HepG2. We demonstrated that as few as 17 mid S-phase cells were sufficient to produce cell-type specific pseudo bulk RT profiles that had a high correlation to previously published HepG2 bulk RT profiles. The sc-RT profiles allowed us to visualize how individual cells progressed through genome replication. We were also able to demonstrate cell-specific correlations between RT and gene expression, which to our knowledge, has not been reported. We observed trends that were conserved between individual cells, as well as cell-to-cell variations, which were not possible to detect with the bulk RT studies. äA Single Cell Multiomics Approach for Simultaneous Analysis of Replica(epmc).pdf DeepDyve Pubget Overpricing