Summary of project PR001174
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
| Project ID: | PR001174 |
| Project DOI: | doi: 10.21228/M8Z98Q |
| Project Title: | A multi-tiered map of EMT defines major transition points and identifies vulnerabilities |
| Project Summary: | Epithelial to mesenchymal transition (EMT) is a complex cellular program proceeding through a hybrid E/M state linked to cancer-associated stemness, migration and chemoresistance. Deeper molecular understanding of this dynamic physiological landscape is needed to define events which regulate the transition and entry into and exit from the E/M state. Here, we quantified >60,000 molecules across ten time points and twelve omic layers in human mammary epithelial cells undergoing TGFβ-induced EMT. Deep proteomic profiles of whole cells, nuclei, extracellular vesicles, secretome, membrane and phosphoproteome defined state-specific signatures and major transition points. Parallel metabolomics showed metabolic reprogramming preceded changes in other layers, while single-cell RNA sequencing identified transcription factors controlling entry into E/M. Covariance analysis exposed unexpected discordance between the molecular layers. Integrative causal modeling revealed co-dependencies governing entry into E/M that were verified experimentally using combinatorial inhibition. Overall, this dataset provides an unprecedented resource on TGFβ signaling, EMT and cancer. |
| Institute: | Boston University |
| Last Name: | Paul |
| First Name: | Indranil |
| Address: | 71 East Concord Street, Room # K320 |
| Email: | indranil@bu.edu |
| Phone: | 6177929631 |
Summary of all studies in project PR001174
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001861 | Parallelized multidimensional analytic framework, PAMAF, applied to mammalian cells uncovers novel regulatory principles in EMT | Homo sapiens | Boston University | MS* | 2022-11-11 | 1 | 30 | Uploaded data (1.5G)* |
