Evidence map›Paper›PMID 42878761›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Software Pipelines for Targeted and Untargeted Proteomics in Bioengineering Applications.

Yuqian Gao, Aivett Bilbao

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. 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

2 authors.

Yuqian GaoPacific Northwest National Laboratory, Richland, WA, 99352, USA.
Aivett BilbaoPacific Northwest National Laboratory, Richland, WA, 99352, USA. aivett.bilbao@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter presents concepts, guidelines, and data processing procedures for the analysis of targeted and untargeted proteomics data in bioengineering contexts. The pipelines have been successfully demonstrated in microbial systems such as Rhodotorula toruloides, Pseudomonas putida, and Aspergillus niger. The methods described in these workflows involve popular open-source software tools and downstream algorithms that enhance data annotation, quantification, and reproducibility. These procedures can be used to quantify metabolic pathway enzymes and validate engineered strains. While focused on bioengineering applications, most of these procedures apply to any proteomics study. The chapter uses published data and step-by-step guides to allow researchers unfamiliar with the approach to successfully execute the techniques.

Indexed as

BioengineeringProteomicsSoftwareMass SpectrometryBioengineeringDDADIAFAIR dataFAIR softwareLCMass spectrometrySRM

Identifiers

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.