Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?

Dalila Bensaddek, Armel Nicolas, Angus I Lamond

Abstract read

In one paragraph

Article in International journal of mass spectrometry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

3 citing papers in PubMed.

Systematic characterisation of site-specific proline hydroxylation using hydrophilic interaction chromatography and mass spectrometry.eLife · 2026
Article
Dual-Functional Titanium(IV) Immobilized Metal Affinity Chromatography Approach for Enabling Large-Scale Profiling of Protein Mannose-6-Phosphate Glycosylation and Revealing Its Predominant Substrates.Analytical chemistry · 2019
Article
Understanding cell signaling in cancer stem cells for targeted therapy - can phosphoproteomics help to reveal the secrets?Cell communication and signaling : CCS · 2017
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.

Dalila BensaddekCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, United Kingdom.

Armel NicolasCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, United Kingdom.

Angus I LamondCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/E010709/1Biotechnology and Biological Sciences Research Council BB/H007849/1Biotechnology and Biological Sciences Research Council C20035Medical Research Council G0901002Wellcome Trust

6 · The paper itself

Abstract

Despite many recent advances in instrumentation, the sheer complexity of biological samples remains a major challenge in large-scale proteomics experiments, reflecting both the large number of protein isoforms and the wide dynamic range of their expression levels. However, while the dynamic range of expression levels for different components of the proteome is estimated to be ∼10

Indexed as

2D-LCChromatographyHILICHILIC, hydrophilic interaction liquid chromatographyhSAX, hydrophilic strong anion exchangeMass-spectrometryMulti-dimensional proteomicsPTMPTM, post-translational modificationRP, reverse-phase

Identifiers

PMID26869852

DOI10.1016/j.ijms.2015.07.029

PMCPMC4708065

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

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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.