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Structural design of engineered costimulation determines tumor rejection kinetics and persistence of CAR T cells

GSE68329 Homo sapiens (human) Expression microarray 24 samples Submitted 2016/04/19 Platform GPL10558
At a glance

Expression microarray · human · 24 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
24 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
The choice of costimulatory domain in CAR design dictates the kinetics of in vivo anti-tumor responses, affecting potency, quality and durability. We show that 1928z results in more vigorous effector functions, whereas 19BBz design compensates for their lesser cytotoxic potency by steadily building up their numbers. Therapeutic function can be further improved by combining CD28 and 4-1BB costimulation.
Read the full summary ↓
1928z-41BBL was revealed to provide optimal combined costimulation, exhibiting highly therapeutic efficiency with balanced T cell effector function and accumulation. Endogenous IFN-β/IRF7 pathway activation was found in 1928z-41BBL T cell and is required for effector function acquisition. The role of the IFN-β/IRF7 pathway provides a novel mechanism through which engineering T cells improve therapeutic effect by self-providing ‘signal 3’.
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 (GSE68329_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 PRJNA282453. Searching any of these in the dataset finder brings you back here.

Samples in this study

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