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ScRNA-seq data for Distinct Stem Cell Identities Converge into Shared Erythroid Stress in ERCC6L2 Disease and Shwachman-Diamond Syndrome

ABSTRACT: This study includes single-cell RNA sequencing of human samples across ERCC6L2 disease (ED), Shwachman-Diamond syndrome (SDS), acute myeloid leukemia (AML), and healthy controls. ED, SDS, and AML samples were processed for single-cell capture, followed by library preparation and sequencing. Sequencing reads were processed through standard pipelines, including quality control, alignment, and quantification, to generate expression matrices. The dataset contains processed single-cell gene expression data, and curated metadata describing sample identity, cell populations, and disease classification. Related raw sequencing files will be available at FEGA.

INSTRUMENT(S): NA, 10x Genomics Chromium Controller, Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: Laura Langohr

PROVIDER: E-MTAB-16984 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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