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

oai:researchdata.se:2023-120-1/1 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/10.48723/41wa-yv42 Bulk RNA sequencing of bone marrow cells from MDS-RS patients and healthy donors 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 Gabriele Todisco 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 bulk RNA sequencing data of MACS-separated bone marrow cells (CD34+ stem cells, GPA+ erythroblasts, CD71+ reticulocytes, ring sideroblasts and siderocytes) obtained from multiple healthy bone marrow donors and MDS-RS patients. A second minibulk dataset is included, where CD34+ and GPA+ cells were treated with cycloheximide or left untreated. 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: Bulk: CD34+ HSPC samples, mixed GPA+ erythroblast samples and CD71+ PB reticulocyte samples (RetPB) were isolated through MACS. RS and siderocytes were obtained through MACS+FACS. Cells were lysed in RLT (Qiagen) + 40 mM dithiothreitol (Sigma-Aldrich) and RNA extraction was performed with RNeasy Micro Kit (Qiagen) with RNase-free DNase treatment according to the manufacturer’s protocol. RNA integrity numbers (RIN) were estimated using Agilent RNA 6000 Pico Kits (Agilent Technologies, CA, USA). A minimum RIN value of 6.5 was considered adequate. Minibulk: Minibulk RNAseq was performed for assessment of cycloheximide treatment effects in CD34+ and GPA+ cell populations. The library preparation procedure was performed using the Xpress Genomics bulk RNA-seq kit v1, automated on a SP960 liquid handler (MGI Tech). In short, the library preparation procedure denatures RNA samples in presence of oligo-dT primer, which is followed by reverse transcription of RNA with a template-switching procedure and pre-amplification of full-length cDNA for 10 PCR cycles. cDNA was subsequently tagmented using Tn5 (TDE1 Tagment DNA Enzyme; Illumina) and reactions quenched after 10 min at 55 °C by addition of 0.2 % SDS (Sigma-Aldrich). Tagmented DNA was indexed using custom dual-unique Nextera index primers in a 12 cycle PCR reaction. Indexed libraries were cleaned up using SPRI beads in 22% PEG8000 buffer and eluted in 12 µL H2O. The dataset consists of 2 folders: - Bulk_Main - Minibulk_Cycloheximide The folder Bulk_Main contains 67 GNU zipped fastq files, 1 tsv file, and 1 txt file. The folder Minibulk_Cycloheximide contains 2 GNU zipped fastq files, and 4 txt files. The documentation file File_list_BulkMinibulk.txt contains a full list of the files in the dataset. The total size of the dataset is approximately 360 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 RNA sekvensering av benmärgsceller från MDS-RS patienter och friska donatorer. Se den engelska beskrivningen för mer information. Datasetet består av två mappar: - Bulk_Main - Minibulk_Cycloheximide Mappen Bulk_Main innehåller 67 GNU zippade fastq-filer, 1 tsv-fil och 1 txt-fil. Mappen Minibulk_Cycloheximide innehåller 2 GNU zippade fastq-filer och 4 txt-filer. Dokumentationsfilen File_list_BulkMinibulk.txt innehåller en lista över datasetets alla filer. Datasetets totala storlek är ungefär 360 GB. info:eu-repo/semantics/restrictedAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ Karolinska Institutet Karolinska Institutet 2023-10-19T13:51:02.786065Z eng