Evidence map›Paper›PMID 39716001›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Bottom-Up Proteomics Workflow for Studying Multi-organism Systems.

Hongxia Bai, Leonard B Collins, Marcos Rogério André, Edward B Breitschwerdt, Taufika Islam Williams

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hongxia BaiDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA.
Leonard B CollinsMolecular Education, Technology and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC, USA.
Marcos Rogério AndréLaboratory of Immunoparasitology, Department of Pathology, Reproduction and One Health, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (FCAV/UNESP), Jaboticabal, SP, Brazil.
Edward B BreitschwerdtIntracellular Pathogens Research Laboratory, Department of Clinical Sciences, The Comparative Medicine Institute, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Taufika Islam WilliamsDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA. Taufika_Williams@ncsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, discovery proteomics has emerged as a pivotal tool in biological research, especially when studying the intricate relationships among multiple organisms. To delve deeper into these interactions, we pioneered a bottom-up proteomics workflow. Using nanoLC-MS/MS and a label-free quantification method, this work specifically examines the differential protein expression in fleas (Ctenocephalides felis felis) that have been experimentally infected with Bartonella henselae, the causative agent of cat scratch disease (CSD). Our detailed methodology, from protein cleanup to data analysis using the Proteome Discoverer software, is meticulously outlined to aid other researchers in adopting and adapting this workflow for their own multi-organism studies. This versatile protocol serves as a foundational guide for examining multiple proteomes from varied taxonomic lineages, exemplified in our cat-flea-bacterium investigation.

Indexed as

Bartonella henselaeProteomicsSiphonapteraTandem Mass SpectrometryWorkflowAnimalsCatsCat-Scratch DiseaseChromatography, LiquidProteomeSoftwareProteomeBartonella henselaeBottom-up proteomicsCtenocephalides felis felis (flea)Differential protein expressionnanoLC-MS/MS

Identifiers

PMID39716001

What OpenQuestion holds

Textmetadata
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.