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Differential analysis of HOXA1 in adult cells at isoform resolution by RNA-Seq [Agilent]

GSE37690 Homo sapiens (human) Expression microarray 6 samples Submitted 2012/12/11 Platform GPL13607
At a glance

Expression microarray · human · 6 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
6 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
High-throughput RNA sequencing (RNA-Seq) has enabled accurate gene discovery and expression estimation, but robust differential analysis of gene and transcript abundances has proven difficult. We present a new algorithm, implemented in the freely available tool Cuffdiff, which integrates transcript-level expression estimation with a method to control for variability across replicate samples.
Read the full summary ↓
Cuffdiff robustly identifies differentially regulated isoforms and genes and reveals differential splicing or promoter-preference changes. We demonstrate the accuracy of our approach through differential analysis of lung fibroblasts in response to loss of the developmental transcription factor HOXA1 and uncover a critical role for this gene in the maintenance of adult cells. We show that HOXA1 is required for lung fibroblast and HeLa cell cycle progression, and loss of HOXA1 results in significant expression level changes in thousands of individual transcripts, along with isoform switching events in key regulators of the cell cycle.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE37690_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA162925. Searching any of these in the dataset finder brings you back here.

Samples in this study

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