The Cellular Phenotype database accepts data from high-throughput phenotypic studies. Such studies allow screening living cells under a wide range of experimental conditions and give access to a whole panel of cellular responses to a specific treatment. Substances like small molecules and peptides, or techniques like RNA interference (RNAi), can be applied to look at the effects, or phenotypes, that such substances induce in cells, with the aim of elucidating novel gene function as well screening compounds for desirable therapeutic effects.
All phenotypic data currently stored in the database were derived from RNAi treatment of cultured human cells and phenotypes were recorded by high-throughput live cell imaging.
For each RNAi based study that you wish to submit, we kindly ask you to provide the following 3 files:
The library annotation file, including, at the absolute minimum, siRNA reagent IDs, sequences and position in the experimental layout (e.g. plate and position in the plate). This file should be saved in TAB DELIMITED FORMAT.
siRNA sequences are fundamental, as they are used to map siRNAs to the reference genome when a new release becomes available. We are therefore unable to accept datasets for which the siRNA sequences are not available; and
The processed data file (one for each screen in the study). This file should be saved in TAB DELIMITED FORMAT. This file should contain the screen results in the form of a table where each row corresponds to a plate position, and therefore to a siRNA ID. Additional columns must contain the phenotype(s) assigned to each position/siRNA ID and the score(s) (i.e. Z-score, p-value, etc.) that has been used to assign a phenotype to that a position/siRNA ID. In special cases when raw image data are also to be submitted, for each position in the processed data file, we require an additional column with the full image path for the image(s) associated with the selected position/siRNA ID. This column can be split into several columns (one per channel), if needed.
Some examples of datasets already loaded in the Cellular Phenotype database are available below. If you need help with your submission or want more examples, contact us at this email.
The Cellular Phenotype database is built using a flexible, open source document‐oriented NoSQL database management system, MongoDB, and allows for the loading of data in different formats.
If the data that you wish to submit to us cannot be adequately represented with the format proposed above, please get in touch with us at phenotype@ebi.ac.uk.