Evidence map›Paper›PMID 31922548›Full record

ArticleFEMS yeast research2020

A subcellular proteome atlas of the yeast Komagataella phaffii.

Minoska Valli, Karlheinz Grillitsch, Clemens Grünwald-Gruber, Nadine E Tatto, Bernhard Hrobath, Lisa Klug, Vasyl Ivashov, Sandra Hauzmayer, Martina Koller, Nora Tir and 6 more

Abstract read
In one paragraph

Article in FEMS yeast research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  12. Frontiers in microbiology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Minoska ValliAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Karlheinz GrillitschAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Clemens Grünwald-GruberAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Nadine E TattoAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Bernhard HrobathInstitute of Statistics, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 82, 1190 Vienna, Austria.
Lisa KlugAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Vasyl IvashovInstitute of Biochemistry, Graz University of Technology, Petersgasse 12/II, 8010, Graz, Austria.
Sandra HauzmayerSchool of Bioengineering, University of Applied Sciences FH-Campus Vienna, Muthgasse 11, 1190 Vienna, Austria.
Martina KollerSchool of Bioengineering, University of Applied Sciences FH-Campus Vienna, Muthgasse 11, 1190 Vienna, Austria.
Nora TirDepartment of Biotechnology, BOKU-University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria.
Friedrich LeischAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Brigitte GasserAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Alexandra B GrafAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Friedrich AltmannAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Günther DaumAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.
Diethard MattanovichAustrian Centre of Industrial Biotechnology (ACIB), Muthgasse 11, 1190 Vienna, Austria.

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

The compartmentalization of metabolic and regulatory pathways is a common pattern of living organisms. Eukaryotic cells are subdivided into several organelles enclosed by lipid membranes. Organelle proteomes define their functions. Yeasts, as simple eukaryotic single cell organisms, are valuable models for higher eukaryotes and frequently used for biotechnological applications. While the subcellular distribution of proteins is well studied in Saccharomyces cerevisiae, this is not the case for other yeasts like Komagataella phaffii (syn. Pichia pastoris). Different to most well-studied yeasts, K. phaffii can grow on methanol, which provides specific features for production of heterologous proteins and as a model for peroxisome biology. We isolated microsomes, very early Golgi, early Golgi, plasma membrane, vacuole, cytosol, peroxisomes and mitochondria of K. phaffii from glucose- and methanol-grown cultures, quantified their proteomes by liquid chromatography-electrospray ionization-mass spectrometry of either unlabeled or tandem mass tag-labeled samples. Classification of the proteins by their relative enrichment, allowed the separation of enriched proteins from potential contaminants in all cellular compartments except the peroxisomes. We discuss differences to S. cerevisiae, outline organelle specific findings and the major metabolic pathways and provide an interactive map of the subcellular localization of proteins in K. phaffii.

Indexed as

Metabolic Networks and PathwaysProteomeBiotechnologyFungal ProteinsMethanolPeroxisomesSaccharomycetalesSubcellular FractionsFungal ProteinsMethanolProteomeKomagataella phaffiimetabolic pathwaysorganellePichia pastorisprotein localizationyeast

Identifiers

PMID31922548
PMCPMC6981350

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.