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WFRF:(Lauschke Volker M.)
 

Sökning: WFRF:(Lauschke Volker M.) > (2024) > Proteomic workflows...

Proteomic workflows for deep phenotypic profiling of 3D organotypic liver models

Koutsilieri, Stefania (författare)
Karolinska Inst, Dept Physiol & Pharmacol, Stockholm, Sweden.
Mickols, Evgeniya (författare)
Uppsala universitet,Institutionen för farmaci,Karolinska Inst, Dept Physiol & Pharmacol, Stockholm, Sweden.
Vegvari, Akos (författare)
Karolinska Inst, Dept Med Biochem & Biophys, Div Chem 1, Stockholm, Sweden.
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Lauschke, Volker M. (författare)
Karolinska Institutet,Karolinska Inst, Dept Physiol & Pharmacol, Stockholm, Sweden.;Dr Margarete Fischer Bosch Inst Clin Pharmacol, Stuttgart, Germany.;Univ Tubingen, Tubingen, Germany.
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Karolinska Inst, Dept Physiol & Pharmacol, Stockholm, Sweden Institutionen för farmaci (creator_code:org_t)
Wiley-VCH Verlagsgesellschaft, 2024
2024
Engelska.
Ingår i: Biotechnology Journal. - : Wiley-VCH Verlagsgesellschaft. - 1860-6768 .- 1860-7314. ; 19:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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 in this context has not been evaluated. The performance of twelve mass spectrometry-based global proteomic workflows that differed in the amount of cellular input, lysis protocols and quantification methods was compared for the analysis of primary human liver spheroids. Results differed majorly between protocols 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. Using a model of metabolic dysfunction-associated steatotic liver disease, we furthermore show that critical disease pathways are robustly identified using a standardized high throughput-compatible workflow based on thermal lysis, even using only individual spheroids (1500 cells) as input. The results increase the applicability of proteomic profiling to phenotypic screens in organotypic microtissues and provide a scalable platform for deep phenotyping from limited biological material.

Ämnesord

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)

Nyckelord

ADME proteins
expression profiling
hepatocellular steatosis
mass-spectrometry
primary human hepatocytes
proteomics
spheroids

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