Evidence map›Paper›PMID 37192562›Full record

ReviewCurrent opinion in chemical biology2023

Labeling strategies to track protozoan parasite proteome dynamics.

Christopher R Mansfield, Michael E Chirgwin, Emily R Derbyshire

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2023. 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
–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

2 citing papers in PubMed.

  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

3 authors.

Christopher R MansfieldDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA.
Michael E ChirgwinDepartment of Chemistry, Duke University, Durham, NC, USA.
Emily R DerbyshireDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA; Department of Chemistry, Duke University, Durham, NC, USA. Electronic address: Emily.Derbyshire@duke.edu.

Funding

University Training Program in Biomolecular & Tissue EngineeringT32GM008555 · NIGMS · DUKE UNIVERSITY · PI GERSBACH, CHARLES A. · 1994 to 2021
$8.1M
University Training Program in Biomolecular and Tissue EngineeringT32GM144291 · NIGMS · DUKE UNIVERSITY · PI Charles A. Gersbach, Tatiana Segura · 2022 to 2026
$2.6M
NIGMS NIH HHS T32 GM008555NIGMS NIH HHS T32 GM144291
6 · The paper itself

Abstract

Intracellular protozoan parasites are responsible for wide-spread infectious diseases. These unicellular pathogens have complex, multi-host life cycles, which present challenges for investigating their basic biology and for discovering vulnerabilities that could be exploited for disease control. Throughout development, parasite proteomes are dynamic and support stage-specific functions, but detection of these proteins is often technically challenging and complicated by the abundance of host proteins. Thus, to elucidate key parasite processes and host-pathogen interactions, labeling strategies are required to track pathogen proteins during infection. Herein, we discuss the application of bioorthogonal non-canonical amino acid tagging and proximity-dependent labeling to broadly study protozoan parasites and include outlooks for future applications to study Plasmodium, the causative agent of malaria. We highlight the potential of these technologies to provide spatiotemporal labeling with selective parasite protein enrichment, which could enable previously unattainable insight into the biology of elusive developmental stages.

Indexed as

MalariaParasitesAnimalsLife Cycle StagesProteomeProtozoan ProteinsProteomeProtozoan ProteinsApicomplexanBioorthogonal non-canonical amino acid taggingPlasmodiumProximity-dependent labeling

Identifiers

PMID37192562
PMCPMC10895934

What Socratic 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 Socratic graph.