Evidence map›Paper›PMID 31429701›Full record

ArticleBMC molecular and cell biology2019

Localization-specific distributions of protein pI in human proteome are governed by local pH and membrane charge.

Atsushi Kurotani, Alexander A Tokmakov, Ken-Ichi Sato, Vasily E Stefanov, Yutaka Yamada, Tetsuya Sakurai

Abstract read
In one paragraph

Article in BMC molecular and cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Gene sequencing andJournal of advanced veterinary and animal research · 2025
    Article
  9. Article
  10. Article
  11. Protein purification via consecutive histidine-polyphosphate interaction.Protein science : a publication of the Protein Society · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors.

Atsushi KurotaniRIKEN Center for Sustainable Resource Science, 1-7-22, Suehiocho, Yokohama, Kanagawa, 230-0045, Japan.
Alexander A TokmakovFaculty of Life Sciences, Kyoto Sangyo University, Kamigamo-motoyama, Kita-ku, Kyoto, 603-8555, Japan. tokmak@cc.kyoto-su.ac.jp.
Ken-Ichi SatoFaculty of Life Sciences, Kyoto Sangyo University, Kamigamo-motoyama, Kita-ku, Kyoto, 603-8555, Japan.
Vasily E StefanovDepartment of Biochemistry, Saint-Petersburg State University, Universitetskaya 7/9, Saint-Petersburg, 199034, Russia.
Yutaka YamadaRIKEN Center for Sustainable Resource Science, 1-7-22, Suehiocho, Yokohama, Kanagawa, 230-0045, Japan.
Tetsuya SakuraiRIKEN Center for Sustainable Resource Science, 1-7-22, Suehiocho, Yokohama, Kanagawa, 230-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-proteome distributions of protein isoelectric point (pI) values in different organisms are bi- or trimodal with some variations. It was suggested that the observed multimodality of the proteome-wide pI distributions is associated with subcellular localization-specific differences in the local pI distributions. However, the factors responsible for variation of the intracellular localization-specific pI profiles have not been investigated in detail.

resultsIn this work, we explored proteome-wide pI distributions of 32,138 human proteins predicted to reside in 10 subcellular compartments, as well as the pI distributions of experimentally observed lysosomal and Golgi proteins. The distributions were found to differ significantly, although all of them adhered to the major recurrent bimodal pattern. Grossly, acid-biased and alkaline-biased patterns with various minor statistical features were observed at different subcellular locations. Bioinformatics analysis revealed the existence of strong statistically significant correlations between protein pI and subcellular localization. Most markedly, protein pI was found to correlate positively with nuclear and mitochondrial locations and negatively with cytoskeletal, cytoplasmic, lysosomal and peroxisomal environment. Further analysis demonstrated that subcellular compartment-specific pI distributions are greatly influenced by local pH and organelle membrane charge. Multiple nonlinear regression analysis identified a polynomial function of the two variables that best fitted the mean pI values of the localization-specific pI distributions. A high coefficient of determination calculated for this regression (R

conclusionsOur study demonstrates that strong correlations exist between protein pI and subcellular localization. The specific pI distributions at different subcellular locations are defined by local environment. Predominantly, it is the local pH and membrane charge that shape the organelle-specific protein pI patterns. These findings expand our understanding of spatial organization of the human proteome.

Indexed as

Cell MembraneGolgi ApparatusHumansHydrogen-Ion ConcentrationIsoelectric PointLysosomesProteomeRegression AnalysisSubcellular FractionsProteomeBioinformaticsHuman proteomeProtein localizationProtein pIRegression analysis

Identifiers

PMID31429701
PMCPMC6701068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.