<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>N/A</dataset_type><full_dataset_link>https://ega-archive.org/datasets/EGAD00001009303</full_dataset_link><sample_count>17</sample_count><description>EGA dataset EGAD00001009303</description><repository>EGA</repository><title>Single nuclei RNA-Seq from 5 regions of the human fetal brain</title></additional><is_claimable>false</is_claimable><name>0a97de6d-4d1b-4ed3-b3e0-dd7373425719 - samples</name><description>Data generated through single nuclei RNA sequencing on 5 regions of the brain (frontal cortex, ganglionic eminence, hippocampus, thalamus and cerebellum) from 3 fetuses (two of 14 and one of 15 post-conception weeks, all female). Tissue was acquired from the MRC-Wellcome Trust Human Developmental Biology Resource (HDBR) with ethical approval.  

snRNA-seq libraries were prepared from Ã¢ÂˆÂ¼10,000 nuclei from each sample using Chromium Single Cell 3ÃŠÂ¹ (v3) reagents (10X Genomics). Quality control of libraries was performed using the Agilent 5200 Fragment Analyzer before sequencing on an Illumina NovaSeq 6000 to a depth of at least 865 million (median = 1.01 billion) read pairs per library. Raw sequencing data were converted into FASTQ files.

For a full description of data generation, please see Cameron et al, Biological Psychiatry 2022, https://doi.org/10.1016/j.biopsych.2022.06.033.</description><dates><updated>2022-09-01 16:58:05</updated></dates><accession>EGAD00001009303</accession><cross_references><TAXONOMY>9606</TAXONOMY><EGA>EGAC00001002831</EGA><EGA>EGAS00001006537</EGA></cross_references></HashMap>