Summary of Study ST001861
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001174. The data can be accessed directly via it's Project DOI: 10.21228/M8Z98Q This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001861 |
| Study Title | Parallelized multidimensional analytic framework, PAMAF, applied to mammalian cells uncovers novel regulatory principles in EMT |
| Study Summary | Painting a holistic picture of disease etiology will require longitudinal systems-scale reconstruction of the multitiered architecture of eukaryotic signaling. As opposed to ‘one omic at a time’, which provides an incomplete view on disease mechanisms, here we developed an experimental and analytics framework, PAMAF, to simultaneously acquire and analyze twelve omic modalities from the same set of samples, i.e., protein abundance from whole-cells, nucleus, exosomes, secretome and membrane; peptidome; N-glycosylation, phosphorylation; metabolites; mRNA, miRNA; and, in parallel, single-cell transcriptomes. We applied PAMAF in a well-studied in vitro model of TGFβ-induced EMT to generate the EMT-ExMap dataset, cataloguing >61,000 expression profiles (>10,000 differential) over 12 days. PAMAF revealed that EMT is more complex than currently understood and identified numerous stage-specific mechanisms and vulnerabilities not captured in literature. Broad application of PAMAF will provide unprecedented insights into multifaceted biological processes relevant to human health and disease. |
| Institute | Boston University |
| Last Name | Paul |
| First Name | Indranil |
| Address | 71 East Concord St |
| indranil@bu.edu | |
| Phone | 6177929632 |
| Submit Date | 2021-06-22 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-11-11 |
| Release Version | 1 |
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Subject:
| Subject ID: | SU001938 |
| Subject Type: | Cultured cells |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Female |
