2026-10-14 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2023-121-1/1 2026-03-19 subject:ssif:1 subject:ssif:106 subject:ssif:10604 subject:ssif:10609 subject:ssif:10610 subject:ssif:30202 subject:ssif:30112 subject:ssif:301 subject:ssif:302 subject:ssif:3 principal:slug:karolinska-institutet

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.48723/nq2a-1e03 10X single-cell RNA sequencing of bone marrow cells from MDS-RS patients and healthy donors 10X singel-cell RNA sekvensering av benmärgsceller från MDS-RS patienter och friska donatorer https://orcid.org/0000-0002-0493-5394 https://orcid.org/0000-0002-7839-3743 Natural Sciences Naturvetenskap Biological Sciences Biologi Cell Biology Cellbiologi Genetics and Genomics Genetik och genomik Bioinformatics and Computational Biology Bioinformatik och beräkningsbiologi Hematology Hematologi Basic Cancer Research Basal cancerforskning This dataset consists of single-cell RNA sequencing data of bone marrow cells (CD34+ stem cells, GPA+ erythroblasts, ring sideroblasts and mononuclear cells) obtained from multiple healthy bone marrow donors and MDS-RS patients. The objective of this data collection was to assess several parameters on how the bone marrow of MDS-RS patients differs from that of healthy donors. This dataset includes raw sequencing data in .fastq format, processed count matrices and associated pseudonymized metadata. Processing: All samples were loaded onto Chromium Single Cell Chips (10x Genomics, CA, USA) at a target capture rate of 10,000 cells per sample. Single cell libraries were prepared using Chromium Next GEM Single Cell 3ʹ Kits v3.1 (10x Genomics) as per the manufacturer’s instructions, except 1µl additive ADT primers were added to the initial cDNA PCR amplification buffer and ADT libraries prepared as described in the Total-Seq B protocol (BioLegend) from the initial cDNA SPRI clean up. Libraries were pooled and sequenced on an Illumina NovaSeq 6000 (Illumina). Read pseudoalignment was performed against the GRCh38.p13 human genome assembly through kallisto v0.46.1 and bustools v0.40.0 was used for barcode and UMI counting. The dataset consists of 2 folders: - Processed_Count_Matrices - Raw_FASTQ And one xlsx file: - Sample_key.xlsx The folder Processed_Count_Matrices contains 1 rds file, 1 tsv file, 9 mtx files, and 18 txt files. The folder Raw_FASTQ contains 27 GNU zipped fastq files, and 5 txt files. The documentation file File_list_10x.txt contains a full list of the files in the dataset. The total size of the dataset is approximately 21 GB. Syftet med denna datainsamling var att bedöma flera parametrar om hur benmärgen hos MDS-RS-patienter skiljer sig från den hos friska donatorer. Denna datauppsättning består av singel-cell RNA sekvensering av benmärgsceller från MDS-RS patienter och friska donatorer. Se den engelska beskrivningen för mer information. Datasetet består av två mappar: - Processed_Count_Matrices - Raw_FASTQ och en xlsx-fil: - Sample_key.xlsx Mappen Processed_Count_Matrices innehåller 1 rds-fil, 1 tsv-fil, 9 mtx-filer och 18 txt-filer. Mappen Raw_FASTQ innehåller 27 GNU-zippade fastq-filer och 5 txt-filer. Dokumentationsfilen File_list_10x.txt innehåller en lista över datasetets alla filer. Datasetets totala storlek är ungefär 21 GB. info:eu-repo/semantics/restrictedAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ Karolinska Institutet Karolinska Institutet 2023-10-19T13:51:47.07457Z eng