Evidence map›Paper›PMID 39118147›Full record

ArticleMicrobiome2024

Proteomic stable isotope probing with an upgraded Sipros algorithm for improved identification and quantification of isotopically labeled proteins.

Yi Xiong, Ryan S Mueller, Shichao Feng, Xuan Guo, Chongle Pan

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yi XiongSchool of Biological Sciences, University of Oklahoma, Norman, OK, USA.
Ryan S MuellerDepartment of Microbiology, Oregon State University, Corvallis, OR, USA.
Shichao FengDepartment of Computer Science and Engineering, University of North Texas, Denton, TX, USA.
Xuan GuoDepartment of Computer Science and Engineering, University of North Texas, Denton, TX, USA.
Chongle PanSchool of Biological Sciences, University of Oklahoma, Norman, OK, USA. cpan@ou.edu.

Funding

Proteomic Stable Isotope Probing as a Novel Approach for Linking Prebiotics with Active Gut MicrobiotaR01AT011618 · NCCIH · UNIVERSITY OF OKLAHOMA · PI PAN, CHONGLE · 2021 to 2025
$1.8M
NCCIH NIH HHS R01 AT011618NIH HHS R01AT011618
6 · The paper itself

Abstract

backgroundProteomic stable isotope probing (SIP) is used in microbial ecology to trace a non-radioactive isotope from a labeled substrate into de novo synthesized proteins in specific populations that are actively assimilating and metabolizing the substrate in a complex microbial community. The Sipros algorithm is used in proteomic SIP to identify variably labeled proteins and quantify their isotopic enrichment levels (atom%) by performing enrichment-resolved database searching.

resultsIn this study, Sipros was upgraded to improve the labeled protein identification, isotopic enrichment quantification, and database searching speed. The new Sipros 4 was compared with the existing Sipros 3, Calisp, and MetaProSIP in terms of the number of identifications and the accuracy and precision of atom% quantification on both the peptide and protein levels using standard E. coli cultures with 1.07 atom%, 2 atom%, 5 atom%, 25 atom%, 50 atom%, and 99 atom%

conclusionOverall, Sipros 4 improved the quality of the proteomic SIP results and reduced the computational cost of SIP database searching, which will make proteomic SIP more useful and accessible to the border community. Video Abstract.

Indexed as

AlgorithmsIsotope LabelingProteomicsCarbon IsotopesEscherichia coliProteomeTandem Mass SpectrometryCarbon IsotopesProteome

Identifiers

PMID39118147
PMCPMC11313024

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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.