Evidence map›Paper›PMID 31769915›Full record

ArticleAngewandte Chemie (International ed. in English)2020

Tracking Pathogen Infections by Time-Resolved Chemical Proteomics.

Ying Zhang, Der-Shyang Kao, Bing Gu, Rajdeep Bomjan, Mayank Srivastava, Haojie Lu, Daoguo Zhou, W Andy Tao

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 2 institutions in 2 countries.

Ying ZhangDepartment of Biochemistry, Department of Chemistry, Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA.
Der-Shyang KaoDepartment of Biochemistry, Department of Chemistry, Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA.
Bing GuDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Rajdeep BomjanDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Mayank SrivastavaDepartment of Biochemistry, Department of Chemistry, Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA.
Haojie LuMinghang Hospital and Institutes of Biomedical Sciences, Fudan University, 131 Dong'an Road, Shanghai, 200032, China.
Daoguo ZhouDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
W Andy TaoDepartment of Biochemistry, Department of Chemistry, Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA.ORCID 0000-0002-5535-5517
Purdue University West Lafayette · USFudan University · CN

Funding

New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling PathwaysR01GM088317 · NIGMS · PURDUE UNIVERSITY · PI TAO, W. ANDY · 2010 to 2014
$1.6M
Acquisition of a High Resolution Orbitrap Mass Spectrometer for Analysis of ProteS10RR025044 · NCRR · PURDUE UNIVERSITY · PI TAO, W. ANDY · 2009 to 2009
$969k
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery DiseaseR01GM111788 · NIGMS · PURDUE UNIVERSITY · PI TAO, W. ANDY · 2015 to 2017
$900k
NCRR NIH HHS S10 RR025044NIGMS NIH HHS R01 GM088317NIGMS NIH HHS R01 GM111788NIH HHS 1R01GM111788NIH HHS S10 RR025044
6 · The paper itself

Abstract

Studying the dynamic interaction between host cells and pathogen is vital but remains technically challenging. We describe herein a time-resolved chemical proteomics strategy enabling host and pathogen temporal interaction profiling (HAPTIP) for tracking the entry of a pathogen into the host cell. A novel multifunctional chemical proteomics probe was introduced to label living bacteria followed by in vivo crosslinking of bacteria proteins to their interacting host-cell proteins at different time points initiated by UV for label-free quantitative proteomics analysis. We observed over 400 specific interacting proteins crosslinked with the probe during the formation of Salmonella-containing vacuole (SCV). This novel chemical proteomics approach provides a temporal interaction profile of host and pathogen in high throughput and would facilitate better understanding of the infection process at the molecular level.

Indexed as

Bacterial ProteinsCD11b AntigenHost-Pathogen InteractionsHumansLipopolysaccharidesMacrophagesMaleimidesMolecular ProbesPrincipal Component AnalysisProteomicsSalmonella InfectionsSalmonella typhimuriumSuccinimidesTime FactorsUltraviolet RaysBacterial ProteinsCD11b AntigenLipopolysaccharidesmaleimideMaleimidesMolecular ProbesN-hydroxysuccinimideSuccinimideschemical proteomicsin vivo labelingpathogen-host interactionsphoto crosslinkingquantitative proteomics

Identifiers

PMID31769915
PMCPMC8276254
OpenAlexW2991313952

What OpenQuestion holds

Textmetadata
LicenceTDM
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.