Functional Genomics · ginkgo-datapoints
GDPx4
DRUG-seq transcriptomic dataset for studying gene-drug interactions in engineered HEK293 cells.
What GDPx4 is
GDPx4 is a functional genomics dataset published by ginkgo-datapoints, containing transcriptomic profiles captured using DRUG-seq. The data measures cellular responses to chemical perturbations and dose-response conditions in human cell models.
The resource centres on engineered human embryonic kidney (HEK293) cells equipped with inducible gene overexpression systems. By coupling inducible genetic changes with compound treatments, the dataset provides a baseline for investigating how specific gene overexpression events modulate cellular drug responses.
How it was made
The dataset documents transcriptomic measurements obtained via high-throughput DRUG-seq following chemical perturbations in HEK293 cells carrying inducible overexpression constructs. Expression readouts track transcriptional variations associated with different compounds and dose ranges.
Data is compiled in tabular Parquet format with text modalities, containing between 10 million and 100 million entries. The tabular structure is set up for computational workflows such as regression and classification modelling.
Key facts
- Biological system
- Engineered HEK293 cells
- Assay type
- DRUG-seq
- Perturbation types
- Inducible gene overexpression and chemical perturbation
- Size category
- 10M to 100M entries
- Data format
- Parquet
- Modalities
- Tabular, text
- Supported tasks
- Tabular regression, tabular classification
What you can use it for
- Gene-drug interaction mapping
- Investigating how inducible overexpression of targeted genes modifies global transcriptional responses to chemical compounds.
- Dose-response regression
- Developing tabular regression models to predict transcriptomic shifts across compound concentration gradients.
- Perturbation phenotype classification
- Training classifiers to categorise drug mechanisms or cellular phenotypic states from tabular DRUG-seq expression profiles.
Explore the data
This dataset is gated
Its authors require their terms to be accepted before the data can be read. Accept them on the original dataset page. The platform does not accept terms on your behalf, so the rows are not shown here.Strengths and limits
Good at
- Provides systematic DRUG-seq transcriptomic readouts across chemical perturbation and dose-response experiments.
- Captures combinatorial effects of inducible gene overexpression alongside compound exposures in an engineered human cell model.
- Supplied in tabular Parquet format, facilitating integration into scalable data processing pipelines.
Watch out for
- Profiles are derived solely from engineered HEK293 cells, which may not represent biological behaviours across other human tissues.
- Restricted to inducible overexpression systems and chemical perturbations, excluding other genetic manipulations such as gene knockouts.
Questions
Can I look inside GDPx4 without downloading it?
Not here: its authors gate it behind terms each user must accept on the original page. Its description and statistics are still shown.
What licence is GDPx4 under?
Its authors declare cc-by-4.0. Read the terms on the original page before reusing the data.
What biological system does GDPx4 profile?
It profiles engineered human embryonic kidney 293 (HEK293) cells carrying inducible gene overexpression constructs.
Which experimental assay is used in this dataset?
The dataset uses DRUG-seq to record high-throughput transcriptomic responses following chemical perturbation.
What analytical tasks are supported by the dataset format?
The dataset is arranged for tabular regression and tabular classification tasks, such as dose-response evaluation and perturbation phenotype profiling.
Written from GDPx4's own dataset card. Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.