Evidence map›Paper›PMID 23167813›Full record

ReviewFEMS microbiology reviews2013

Post-translation modification in Archaea: lessons from Haloferax volcanii and other haloarchaea.

Jerry Eichler, Julie Maupin-Furlow

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2013. 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. Review
  4. Cellular and Genomic Properties ofFrontiers in microbiology · 2021
    Article
  5. Open biology · 2020
    Review
  6. Article
  7. Review
  8. Electrochemical Biosensors Based on S-Layer Proteins.Sensors (Basel, Switzerland) · 2020
    Review
  9. Article
  10. Archaeal cell surface biogenesis.FEMS microbiology reviews · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. S-layers: principles and applications.FEMS microbiology reviews · 2014
    Article
  18. Article
  19. Review
  20. N-linked glycosylation in Archaea: a structural, functional, and genetic analysis.Microbiology and molecular biology reviews : MMBR · 2014
    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

2 authors.

Jerry EichlerDepartment of Life Sciences, Ben Gurion University, Beersheva, Israel. jeichler@bgu.ac.il
Julie Maupin-Furlow

Funding

Ubiquitin-like Small Archaeal Protein Modification (SAMPylation)R01GM057498 · NIGMS · UNIVERSITY OF FLORIDA · PI MAUPIN-FURLOW, JULIE A · 2000 to 2024
$4.9M
NIGMS NIH HHS R01 GM057498
6 · The paper itself

Abstract

As an ever-growing number of genome sequences appear, it is becoming increasingly clear that factors other than genome sequence impart complexity to the proteome. Of the various sources of proteomic variability, post-translational modifications (PTMs) most greatly serve to expand the variety of proteins found in the cell. Likewise, modulating the rates at which different proteins are degraded also results in a constantly changing cellular protein profile. While both strategies for generating proteomic diversity are adopted by organisms across evolution, the responsible pathways and enzymes in Archaea are often less well described than are their eukaryotic and bacterial counterparts. Studies on halophilic archaea, in particular Haloferax volcanii, originally isolated from the Dead Sea, are helping to fill the void. In this review, recent developments concerning PTMs and protein degradation in the haloarchaea are discussed.

Indexed as

Protein Processing, Post-TranslationalArchaeaArchaeal ProteinsHaloferax volcaniiProteomeArchaeal ProteinsProteome

Identifiers

PMID23167813
PMCPMC3593991

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Registered trials

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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.