{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yu H"],"funding":["Hang Yu"],"pagination":["1039"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12469619"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(9)"],"pubmed_abstract":["<b>Background/Objectives:</b> Rice production faces threats from rising temperatures, demanding thermotolerant varieties. This study characterizes transcriptomic dynamics and identifies <i>Hsp101-1</i> (<i>heat shock protein 101-1</i>)-associated gene regulatory modules in rice under reproductive-stage heat stress. <b>Methods:</b> Transcriptomics and WGCNA (weighted gene co-expression network analysis) were conducted in flag leaves and spikelets for wild-type (WT) and <i>Hsp101-1</i>-overexpressing (OE) lines under 40 °C stress at six time points (0-24 h) to reveal the change in gene expressions. <b>Results:</b> The number of DEGs (differentially expressed genes) revealed substantial pre-existing differences in WT and OE lines. Pre treatment, OE flag leaves showed 545 upregulated and 676 d"],"journal":["Genes"],"pubmed_title":["&lt;i&gt;Hsp101-1&lt;/i&gt; Orchestrates Thermotolerance in Rice via Pre-Activated Transcriptional Networks and Modular Cross-Tissue Coordination."],"pmcid":["PMC12469619"],"funding_grant_id":["R2021YJYB3017","2022A1515011741"],"pubmed_authors":["Jiang L","Chen P","Li C","Zhang J","Sun B","Chen W","Liu Q","Mao X","Lyu S","Yu H"],"additional_accession":[]},"is_claimable":false,"name":"&lt;i&gt;Hsp101-1&lt;/i&gt; Orchestrates Thermotolerance in Rice via Pre-Activated Transcriptional Networks and Modular Cross-Tissue Coordination.","description":"<b>Background/Objectives:</b> Rice production faces threats from rising temperatures, demanding thermotolerant varieties. This study characterizes transcriptomic dynamics and identifies <i>Hsp101-1</i> (<i>heat shock protein 101-1</i>)-associated gene regulatory modules in rice under reproductive-stage heat stress. <b>Methods:</b> Transcriptomics and WGCNA (weighted gene co-expression network analysis) were conducted in flag leaves and spikelets for wild-type (WT) and <i>Hsp101-1</i>-overexpressing (OE) lines under 40 °C stress at six time points (0-24 h) to reveal the change in gene expressions. <b>Results:</b> The number of DEGs (differentially expressed genes) revealed substantial pre-existing differences in WT and OE lines. Pre treatment, OE flag leaves showed 545 upregulated and 676 d","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-05-01T03:20:51.128Z","creation":"2026-05-01T03:11:23.084Z"},"accession":"S-EPMC12469619","cross_references":{"pubmed":["41009984"],"doi":["10.3390/genes16091039"]}}