<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/GSE300nnn/GSE300462/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE300462</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Bulk TChIC of human nucleus pulposus cells</name><description>Cryopreserved P1 cells were used directly for the TCHiC as detailed in the corresponding manuscript. Final DNA libraries were sequenced using paired-end 100 bp reads on a NextSeq2000. For transcript and ChIC analysis, Fastq files were processed into count tables using the T-ChIC Snakemake (see https://github.com/marloes3105/tchic/tree/main/workflows/1.snakemake-workflow/, v1.0). Following demultiplexing, for the transcript, reads were mapped to the human (hg38) genome using STAR (version 2.5.3a). For ChIC, reads were mapped paired-end to the human (hg38) genome using bwa mem (version 0.7.16a) with parameters -M -I 1000. Gene specific H3K27me3 enrichment was quantified using the bamCountRegions.py script, which generated a count table based on reads within 10 kb window around the transcription start sites (TSS) of annotated genes. Gene-level RNA counts and TSS-level H3K27me3 counts were aggregated per sample and normalised using median ratio normalisation for downstream visualisation.</description><dates><publication>2026/09/07</publication></dates><accession>GSE300462</accession><cross_references><GSM>GSM9060897</GSM><GSM>GSM9060898</GSM><GSM>GSM9060899</GSM><GSM>GSM9060900</GSM><GSM>GSM9060901</GSM><GPL>11154</GPL><GSE>300462</GSE><taxon>Homo sapiens</taxon><PMID>[42706237]</PMID></cross_references></HashMap>