DNA methylation disruption reshapes the hematopoietic differentiation landscape
Somatic mutations in genes implicated in DNA methylation (DNAme; e.g., TET2, DNMT3A and IDH2), are frequently observed in hematological malignancies, as well as in clonal hematopoiesis (CH). Yet, how these mutations disrupt the hematopoietic differentiation topology remains largely unknown. By applying complementary single-cell sequencing approaches to murine bone marrow hematopoietic stem and progenitor cells, we observe that mutations in DNAme modifiers result in significantly altered differe...
Provenance — who produced it, who reused it
Linked to 2 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently