Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE110878

GEO first seen 2021

Combination of high-dimensional approaches for skeletal muscle tissue cartography

Organism
Mus musculus
Samples
13
Type
Expression profiling by high...
Submitted
2018-02-20

The regenerative capacity of skeletal muscle relies on muscle stem cells (MuSCs, or satellite cells) and its niche interactions with different neighboring cells. To understand the cellular diversity within adult skeletal muscle tissue, we harvested mononuclear cells from hindlimb skeletal muscles, sorted into single cells and profiled them by single-cell RNA-seq. To further understand and compare the expression profile between MuSCs and a novel smooth-muscle/mesenchymal-like cells (SMMCs) popula...

Provenance — who produced it, who reused it

Linked to 6 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.

Deposited / produced by
Gary J HeJustin LawRaymond WanTom H Cheung
Reused by

3 further papers cite this accession but reuse could not be confirmed.

Deep data QC

43/100 · F

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured

Data type / assay
bulk-RNA-seq
Organism
Mus musculus
Metrics (value · how obtained)
n content pct 0.006 measured
pct q20 bases 78.1 measured
pct q30 bases 71.1 measured
gc content pct 45.1 measured
mean read length 149.9 measured
mean base quality 29.8 measured
adapter content pct 0.06 measured
duplication rate pct 15.65 measured
How this grade was computed
Weighted mean of 4 scored metric(s) → 43/100

The F grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 71.1 measured ×1 6%
mean base quality 29.8 measured ×0.6 30%
adapter content pct 0.06 measured ×0.4 100%
duplication rate pct 15.65 measured ×0.4 100%
QC cost 26 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0