220126_VH00228_82_AAAV3TVM5_LTaTReg_EXP1_TregThy

DOI

This dataset contains all the analysis results of the sequencing data performed using 10xGenomics CellRanger and custom R scripts. Code of the analysis can be found in Github : https://github.com/CIML-bioinformatic/MIlab_LTaTreg-Thymus

Description of the sample production:

Single cell suspensions of thymus were obtained by scratching organs through a 70-μm nylon mesh cell strainer with a plastic plunge in PBS 5%BSA 1mM EDTA. Thymic cell suspensions were then incubated with red blood cell lysis buffer for 3 minutes at room temperature and enriched for CD4+ thymocytes by depletion of CD8+ and CD11c+ cells using the AutoMACS® Pro Separator with the Deplete program (Miltenyi). We used cell hashing with hashtag oligonucleotides (HTO) to multiplex the two samples from 2 individual mice. Cell surface staining used for gating cells from the Treg lineage and staining for distinct barcoded anti-mouse CD45 antibody (Biolegend; A0304 and A0305 for Foxp3eGFP and Foxp3eGFPxLta-/- Treg cells, respectively) were performed in PBS 5%BSA 1mM EDTA for 30 min on ice. For each sample, cells from the Treg lineage Live Dead-CD4+CD8-CCR6-CD3e+ expressing either CD25, Foxp3eGFP or both were bulk-sorted with BD FACS Aria II. Sorted cell samples (20,000 Foxp3eGFP Treg cells and 20,000 Foxp3eGFPxLta-/- Treg cells) were pooled with a target of 10,000 captured cells and loaded in a single capture well for subsequent 10x Genomics Single Cell 3’ v3.1 workflow.

Library was performed according to the manufacter’s instructions (single cell 3’ v3.1 protocol, 10x Genomics). Briefly, cells were resuspended in the master mix and loaded together with partitioning oil and gel beads into the chip to generate the gel bead-in-emulsion (GEM). The poly-A RNA from the cell lysate contained in every single GEM was retrotranscripted to cDNA, which contains an Illumina R1 primer sequence, Unique Molecular Identifier (UMI) and the 10x Barcode. The pooled barcoded cDNA was then cleaned up with Silane DynaBeads, amplified by PCR and the appropriated sized fragments were selected with SPRIselect reagent. The pellet and supernatant fractions were separated for subsequent HTO and gene expression library construction. During the library construction, Illumina R2 primer sequence, paired-end constructs with P5 and P7 sequences and a sample index were added. The HTO library was constructed using Truseq D701 and D702 sequences containing i7 indexes. The resulting libraries were pooled and sequenced on an Illumina NextSeq2000 platform with a P2 flow cell (100 cycles).

mRNA and Cell Hashing FASTQ raw files were processed using Cell Ranger v6.0.1 (10X genomics Inc.) software with default parameters to performs alignment, filtering, barcode counting and unique molecular identifier (UMI) counting. Reads were aligned to the mouse mm10 genome. A total number of 4,798 cells were identified with a mean of 44,015 reads per cell and a median of 1,992 genes per cell.

See description of the dataset : https://github.com/CIML-bioinformatic/MIlab_LTaTreg-Thymus

Identifier
DOI https://doi.org/10.57745/ZITN0Z
Related Identifier IsCitedBy https://doi.org/10.1038/s41467-024-51164-5.
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/ZITN0Z
Provenance
Creator BORELLI, Alexia ORCID logo; SANTAMARIA Jérémy C. ORCID logo; ZAMIT, Cloé ORCID logo; APERT, Cécile; CHEVALLIER, Jessica ORCID logo; PIERRE, Philippe ORCID logo; ARGUELLO, Rafael J. ORCID logo; SPINELLI, Lionel; IRLA, Magali ORCID logo
Publisher Recherche Data Gouv
Contributor SPINELLI, Lionel; Centre d'Immunologie de Marseille-Luminy; Aix-Marseille Université; Centre National de Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Dat'amU
Publication Year 2024
Funding Reference Fondation ARC pour la Recherche sur le Cancer PJA20171206491 ; Inserm MAT-PI-17326-A-01 ; Agence de Biomédecine 21GREFFE009 ; Agence Nationale de la Recherche ANR-22-CE18-0045-01 Reality ; France Génomique national infrastructure ANR-10-INBS-0009 ; France Bio Imaging ANR-10-INBS-04-01 ; Fondation ARC pour la Recherche sur le Cancer ARCDOC42022010004424
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact SPINELLI, Lionel (Aix Marseille Université)
Representation
Resource Type Dataset
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Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage Marseille