PXD047462 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteomic workflows for deep phenotypic profiling of 3D organotypic liver models |
Description | Organotypic human tissue models constitute promising systems to facilitate drug discovery and development. They allow to maintain native cellular phenotypes and functions, which enables long-term pharmacokinetic and toxicity studies, as well as phenotypic screening. To trace relevant phenotypic changes back to specific targets or signaling pathways, comprehensive proteomic profiling is the gold-standard. A multitude of proteomic workflows have been applied on 3D tissue models to quantify their molecular phenotypes; however, their impact on analytical results and biological conclusions has not been evaluated. Here, we compared the performance of twelve mass spectrometry-based global proteomic workflows that differed in the amount of cellular input, lysis protocols and quantification methods for the analysis of primary human liver spheroids. We find that the different protocols differ majorly in the total number and subcellular compartment bias of identified proteins, which is particularly relevant for the reliable quantification of transporters and drug metabolizing enzymes. However, using a model of non-alcoholic fatty liver disease, we show that critical disease pathways are robustly identified using a standardized high throughput-compatible workflow based on thermal lysis, even using only individual spheroids (1,500 cells) as input. The results increase the applicability of proteomic profiling to phenotypic screens in organotypic microtissues and provides a scalable platform for deep phenotyping from limited biological material. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_06:37:41.002.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Akos Vegvari |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2023-12-02 09:37:13 | ID requested | |
1 | 2024-04-29 05:37:35 | announced | |
⏵ 2 | 2024-10-22 06:37:41 | announced | 2024-10-22: Updated project metadata. |
Publication List
10.1002/biot.202300684; |
Koutsilieri S, Mickols E, V, é, gv, á, ri Á, Lauschke VM, Proteomic workflows for deep phenotypic profiling of 3D organotypic liver models. Biotechnol J, 19(3):e2300684(2024) [pubmed] |
Keyword List
submitter keyword: proteomics,hepatocyte, mass spectrometry, organoid |
Contact List
Akos Vegvari |
contact affiliation | Karolinska Institutet, Stockholm, Sweden |
contact email | akos.vegvari@ki.se |
lab head | |
Akos Vegvari |
contact affiliation | Karolinska Institutet |
contact email | akos.vegvari@ki.se |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD047462
- Label: PRIDE project
- Name: Proteomic workflows for deep phenotypic profiling of 3D organotypic liver models