High throughput quantitative whole transcriptome analysis of distal mouse lung epithelial cells from various developmental stages (E14.5, E16.5, E18.5 and adult)
We used microfluidic single cell RNA-seq on 198 individual mouse lung epithelial cells at 4 different stages throughout development to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We classified 80 cells comprising the distal lung epithelium at E18.5 into distinct populations using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or prior purification of cell types...
Provenance — who produced it, who reused it
Linked to 21 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.
- Single-cell entropy for accurate estimation of differentiation p... 2017 · 377 cites
- Single-cell topological RNA-seq analysis reveals insights into c... 2017 · 265 cites
- Inferring Causal Gene Regulatory Networks from Coupled Single-Ce... 2020 · 181 cites
- scEpath: energy landscape-based inference of transition probabil... 2018 · 143 cites
- Normalization and noise reduction for single cell RNA-seq experi... 2015 · 110 cites
- Detecting heterogeneity in single-cell RNA-Seq data by non-negat... 2017 · 97 cites
- Normalization Methods on Single-Cell RNA-seq Data: An Empirical... 2020 · 96 cites
- Exploiting single-cell expression to characterize co-expression... 2016 · 94 cites
- Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA... 2019 · 86 cites
11 further papers cite this accession but reuse could not be confirmed.
Deep data QC
61/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The D 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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0