Exon level expression profiling of colorectal cancer tissue samples (validation sample series).
Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). The sample-wise a...
Provenance — who produced it, who reused it
Linked to 25 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.
- Oncogenicity of the Developmental Transcription Factor Sox9 2012 · 210 cites
- Exosomal Wnt-induced dedifferentiation of colorectal cancer cell... 2018 · 198 cites
- The long non-coding RNA CYTOR drives colorectal cancer progressi... 2018 · 162 cites
- MiR-9, -31, and -182 Deregulation Promote Proliferation and Tumo... 2012 · 134 cites
- The novel colorectal cancer biomarkers <i>CDO1, ZSCAN18</i> and... 2014 · 119 cites
- PreMSIm: An R package for predicting microsatellite instability... 2020 · 114 cites
- Multilevel genomics of colorectal cancers with microsatellite in... 2017 · 92 cites
18 further papers cite 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently