Evidence map›Paper›PMID 38968027›Full record

ArticleAnalytical chemistry2024

Repurposed 3D Printer Allows Economical and Programmable Fraction Collection for Proteomics of Nanogram Scale Samples.

Eduardo S Kitano, Gareth Nisbet, Yana Demyanenko, Katarzyna M Kowalczyk, Louisa Iselin, Stephen Cross, Alfredo Castello, Shabaz Mohammed

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Eduardo S KitanoRosalind Franklin Institute, Harwell Campus, Didcot OX11 0QX, United Kingdom.
Gareth NisbetDiamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
Yana DemyanenkoRosalind Franklin Institute, Harwell Campus, Didcot OX11 0QX, United Kingdom.ORCID 0000-0002-6628-1912
Katarzyna M KowalczykRosalind Franklin Institute, Harwell Campus, Didcot OX11 0QX, United Kingdom.
Louisa IselinMRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom.
Stephen CrossRosalind Franklin Institute, Harwell Campus, Didcot OX11 0QX, United Kingdom.
Alfredo CastelloMRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom.
Shabaz MohammedRosalind Franklin Institute, Harwell Campus, Didcot OX11 0QX, United Kingdom.ORCID 0000-0003-2640-9560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we describe the construction and application of a repurposed 3D-printer as a fraction collector. We utilize a nano-LC to ensure minimal volumes and surfaces although any LC can be coupled. The setup operates as a high-pH fractionation system capable of effectively working with nanogram scales of lysate digests. The 2D RP-RP system demonstrated superior proteome coverage over single-shot data-dependent acquisition (DDA) analysis using only 5 ng of human cell lysate digest with performance increasing with increasing amounts of material. We found that the fractionation system allowed over 60% signal recovery at the peptide level and, more importantly, we observed improved protein level intensity coverage, which indicates the complexity reduction afforded by the system outweighs the sample losses endured. The application of data-independent acquisition (DIA) and wide window acquisition (WWA) to fractionated samples allowed nearly 8000 proteins to be identified from 50 ng of the material. The utility of the 2D system was further investigated for phosphoproteomics (>21 000 phosphosites from 50 μg starting material) and pull-down type experiments and showed substantial improvements over single-shot experiments. We show that the 2D RP-RP system is a highly versatile and powerful tool for many proteomics workflows.

Indexed as

Printing, Three-DimensionalProteomicsHumansProteomeProteome

Identifiers

PMID38968027
PMCPMC11256012

What OpenQuestion holds

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LicenceCC BY
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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.