<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE103nnn/GSE103305/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103305</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Thyroid State Regulates Gene Expression in Human Whole Blood Cells</name><description>Context: Despite the well-recognized clinical features due to insufficient or excessive thyroid hormone (TH) levels in humans, it is largely unknown which genes are regulated by TH in human tissues. objective: To study the effect of TH on human gene expression profiles in whole blood, mainly consisting of TRα-expressing cells. Methods: We performed next-generation RNA sequencing on whole blood samples from 8 athyroid patients (4 females) on and after 4 weeks off levothyroxine replacement. Gene expression changes were analyzed through paired differential expression analysis and confirmed in a validation cohort. Weighted gene co-expression network analysis (WGCNA) was applied to identify thyroid state-related networks. Results: We detected 486 differentially expressed (DE) genes (fold-change above 1.5; multiple testing corrected P-value &lt;0.05), of which 76 % were positively and 24 % were negatively regulated. Gene ontology (GO) enrichment analysis revealed that 3 biological processes were significantly overrepresented of which the process translational elongation showed the highest fold enrichment (7.3 fold, P=1.8 x 10-6). Comparative transcriptome analysis revealed significant overlap with DE-genes in muscle samples upon different thyroid state (1.7-fold enrichment; P=0.02). WGCNA analysis independently identified various gene clusters that correlated with thyroid state. Further GO-analysis suggested that thyroid state regulates platelet function. Conclusions: Changes in thyroid state regulate numerous genes in human whole blood, predominantly TRα-expressing leukocytes. In addition, TH may regulate gene expression in platelets. Whole blood samples might potentially be used as a proxy for other TRα-expressing tissues in humans.</description><dates><publication>2017/10/30</publication></dates><accession>GSE103305</accession><cross_references><GSM>GSM2760050</GSM><GSM>GSM2760053</GSM><GSM>GSM2760054</GSM><GSM>GSM2760051</GSM><GSM>GSM2760052</GSM><GSM>GSM2760057</GSM><GSM>GSM2760046</GSM><GSM>GSM2760058</GSM><GSM>GSM2760047</GSM><GSM>GSM2760055</GSM><GSM>GSM2760044</GSM><GSM>GSM2760045</GSM><GSM>GSM2760056</GSM><GSM>GSM2760048</GSM><GSM>GSM2760059</GSM><GSM>GSM2760049</GSM><GPL>16791</GPL><SRA>SRP127016</SRA><GSE>103305</GSE><taxon>Homo sapiens</taxon><PMID>[29069456]</PMID></cross_references></HashMap>