Smart-seq3 and Smart-seq3xpress single-cell RNA sequencing of bone marrow cells from MDS-RS patients
SND-ID: 2023-122-1. Version: 1. DOI: https://doi.org/10.48723/0f0c-p816
Associated documentation
Citation
Creator/Principal investigator(s)
Pedro Luis Moura - Karolinska Institutet, Department of Medicine, Huddinge / Center for Hematology and Regenerative Medicine (HERM)
Eva Hellström-Lindberg - Karolinska Institutet, Department of Medicine, Huddinge / Center for Hematology and Regenerative Medicine (HERM)
Research principal
Karolinska Institutet - Department of Medicine, Huddinge / Center for Hematology and Regenerative Medicine (HERM)
Description
This dataset consists of Smart-seq3 single-cell RNA sequencing data of purified RS from the bone marrow and peripheral blood of 2 MDS-RS patients; and Smart-seq3xpress single-cell RNA sequencing data of FACS-sorted hematopoietic stem cells (HSC), multipotent progenitors (MPP), megakaryocyte-erythroid progenitors (MEP) and erythroblasts from 1 MDS-RS patient. 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: In brief, cells were sorted into 384-well plates containing 3uL Vapor-Lock (Qiagen) and 0.3uL lysis buffer consisting of 0.125 µM OligodT30VN (5'-Biotin-ACGAGCATCAGCAGCATACGAT30VN-3'; IDT) adjusted to reverse transcription (RT), 0.5mM dNTPs/each adjusted to RT volume, 0.1% Triton X-100, 5% PEG8000 adjusted to RT volume, 0.4u RNase Inhibitor (Takara Bio, 40 U/µL). After cell sorting plates were briefly centrifuged before storage at -80C. Before RT, plates w
This dataset includes raw sequencing data in .fastq format, processed count matrices and associated pseudonymized metadata.
Processing: In brief, cells were sorted into 384-well plates containing 3uL Vapor-Lock (Qiagen) and 0.3uL lysis buffer consisting of 0.125 µM OligodT30VN (5'-Biotin-ACGAGCATCAGCAGCATACGAT30VN-3'; IDT) adjusted to reverse transcription (RT), 0.5mM dNTPs/each adjusted to RT volume, 0.1% Triton X-100, 5% PEG8000 adjusted to RT volume, 0.4u RNase Inhibitor (Takara Bio, 40 U/µL). After cell sorting plates were briefly centrifuged before storage at -80C. Before RT, plates were denatured at 72 degrees for 10 min followed by addition of 0.1 µL of RT mix; 25 mM Tris-HCL pH 8.4 (Fischer Scientific), 30mM NaCl (Ambion), 1 mM GTP (Thermo Fisher Scientific), 2.5 mM MgCl2 (Ambion), 8 mM DTT (Thermo Fisher Scientific), 0.25 U/µl RNase Inhibitor (Takara Bio), 0.75 µM Template Switching Oligo (TSO) (5′-Biotin-AGAGACAGATTGCGCAATGNNNNNNNNWWrGrGrG-3′; IDT) and 2 U/µl of Maxima H Minus reverse transcriptase (Thermo Fisher Scientific). Plates were quickly centrifuged after dispensing to ensure merge of lysis and RT volumes. RT was incubated at 42 °C for 90 minutes, followed by ten cycles of 50 °C for 2 minutes and 42 °C for 2 minutes. After RT, 0.6 µL PCR mix was dispensed to each well containing the following; 1× SeqAmp PCR buffer (Takara Bio), 0.025 U/µl of SeqAmp polymerase (Takara Bio) and 0.5 µM Smartseq3 forward and reverse primer. Plates were quickly spun down before being incubated as follows: 1 minute at 95 °C for initial denaturation, 14 cycles of 10 seconds at 98 °C, 30 seconds at 65 °C and 2–6 minutes at 68 °C. Final elongation was performed for 10 minutes at 72 °C.
The dataset consists of 2 folders:
- SS3_FACS_PB-BM_RS
- SS3xpress_FACS_HSC_MPP_MEP_EB
The folder SS3_FACS_PB-BM_RS contains 1 rds file, 3 txt files, and 1 compressed folder (tar.gz) with fastq files.
The folder SS3xpress_FACS_HSC_MPP_MEP_EB contains 1 rds file, 7 txt files, and 2 GNU zipped fastq files.
The documentation file File_list_SS3_SS3xpress.txt contains a full list of the files in the dataset. Show less..
Data contains personal data
Yes
Sensitive personal data
Yes
Type of personal data
Genetic and biological data of patients
Code key exists
Yes
Language
Unit of analysis
Population
Patients with Myelodysplastic neoplasms with ring sideroblasts (MDS-RS)
Study design
Preclinical study
Sampling procedure
Non-probability: Availability
Mixed probability and non-probability
Biobank is connected to the study
This study has used existing samples from a scientific collection or biobank
Scientific collection or biobank name: Karolinska Institutet MDS biobank
Type(s) of sample: Bone marrow cells
Responsible department/unit
Department of Medicine, Huddinge / Center for Hematology and Regenerative Medicine (HERM)
Ethics Review
Stockholm - Ref. 2017/1090-31/4
Research area
Natural sciences (Standard för svensk indelning av forskningsämnen 2011)
Biological sciences (Standard för svensk indelning av forskningsämnen 2011)
Cell biology (Standard för svensk indelning av forskningsämnen 2011)
Genetics (Standard för svensk indelning av forskningsämnen 2011)
Bioinformatics and systems biology (Standard för svensk indelning av forskningsämnen 2011)
Hematology (Standard för svensk indelning av forskningsämnen 2011)
Moura PL, Mortera Blanco T, Hofman IJ, Todisco G, Kretzschmar WW, Björklund AC, Creignou M, Hagemann-Jensen M, Ziegenhain C, Cabrerizo Granados D, Barbosa I, Walldin G, Jansson M, Ashley N, Mead AJ, Lundin V, Dimitriou M, Yoshizato T, Woll PS, Ogawa S, Sandberg R, Jacobsen SW, Hellström-Lindberg E. Erythroid differentiation enhances RNA mis-splicing in SF3B1-mutant myelodysplastic syndromes with ring sideroblasts. Cancer Res. 2023 Nov 3. doi: 10.1158/0008-5472.CAN-23-3038.
DOI:
https://doi.org/10.1158/0008-5472.CAN-23-3038
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