Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds
© 2021. The Author(s)..
While gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profiles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profiling, GCP). Here, we expand our original dataset to include profiles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe filtering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of "connectivity" to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifiers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:8 |
|---|---|
| Enthalten in: |
Scientific data - 8(2021), 1 vom: 25. Aug., Seite 226 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Dele-Oni, Deborah O [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Antineoplastic Agents |
|---|
| Anmerkungen: |
Date Completed 30.09.2021 Date Revised 07.11.2023 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41597-021-01008-4 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM329769812 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM329769812 | ||
| 003 | DE-627 | ||
| 005 | 20231225205837.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41597-021-01008-4 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1099.xml |
| 035 | |a (DE-627)NLM329769812 | ||
| 035 | |a (NLM)34433823 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Dele-Oni, Deborah O |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 30.09.2021 | ||
| 500 | |a Date Revised 07.11.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a While gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profiles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profiling, GCP). Here, we expand our original dataset to include profiles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe filtering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of "connectivity" to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifiers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics | ||
| 650 | 4 | |a Dataset | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 7 | |a Antineoplastic Agents |2 NLM | |
| 650 | 7 | |a Cardiotoxins |2 NLM | |
| 650 | 7 | |a Protein Kinase Inhibitors |2 NLM | |
| 650 | 7 | |a Proteome |2 NLM | |
| 700 | 1 | |a Christianson, Karen E |e verfasserin |4 aut | |
| 700 | 1 | |a Egri, Shawn B |e verfasserin |4 aut | |
| 700 | 1 | |a Vaca Jacome, Alvaro Sebastian |e verfasserin |4 aut | |
| 700 | 1 | |a DeRuff, Katherine C |e verfasserin |4 aut | |
| 700 | 1 | |a Mullahoo, James |e verfasserin |4 aut | |
| 700 | 1 | |a Sharma, Vagisha |e verfasserin |4 aut | |
| 700 | 1 | |a Davison, Desiree |e verfasserin |4 aut | |
| 700 | 1 | |a Ko, Tak |e verfasserin |4 aut | |
| 700 | 1 | |a Bula, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Blanchard, Joel |e verfasserin |4 aut | |
| 700 | 1 | |a Young, Jennie Z |e verfasserin |4 aut | |
| 700 | 1 | |a Litichevskiy, Lev |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Xiaodong |e verfasserin |4 aut | |
| 700 | 1 | |a Lam, Daniel |e verfasserin |4 aut | |
| 700 | 1 | |a Asiedu, Jacob K |e verfasserin |4 aut | |
| 700 | 1 | |a Toder, Caidin |e verfasserin |4 aut | |
| 700 | 1 | |a Officer, Adam |e verfasserin |4 aut | |
| 700 | 1 | |a Peckner, Ryan |e verfasserin |4 aut | |
| 700 | 1 | |a MacCoss, Michael J |e verfasserin |4 aut | |
| 700 | 1 | |a Tsai, Li-Huei |e verfasserin |4 aut | |
| 700 | 1 | |a Carr, Steven A |e verfasserin |4 aut | |
| 700 | 1 | |a Papanastasiou, Malvina |e verfasserin |4 aut | |
| 700 | 1 | |a Jaffe, Jacob D |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Scientific data |d 2014 |g 8(2021), 1 vom: 25. Aug., Seite 226 |w (DE-627)NLM245762450 |x 2052-4463 |7 nnns |
| 773 | 1 | 8 | |g volume:8 |g year:2021 |g number:1 |g day:25 |g month:08 |g pages:226 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41597-021-01008-4 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 8 |j 2021 |e 1 |b 25 |c 08 |h 226 | ||