Evidence map›Paper›PMID 37812448›Full record

ArticleACS applied materials & interfaces2023

Cotton Ti-IMAC: Developing Phosphorylated Cotton as a Novel Platform for Phosphopeptide Enrichment.

Danqing Wang, Junfeng Huang, Haoran Zhang, Ting-Jia Gu, Lingjun Li

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Danqing WangDepartment of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0001-8080-9675
Junfeng HuangSchool of Pharmacy, University of Wisconsin─Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-1672-3751
Haoran ZhangDepartment of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States.
Ting-Jia GuSchool of Pharmacy, University of Wisconsin─Madison, Madison, Wisconsin 53705, United States.
Lingjun LiDepartment of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-0056-3869

Funding

Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATIONU01CA231081 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2020
$1.3M
Acquisition of a High Resolution High Speed MALDI Mass Spectrometer for Biomedical Research at UW-MadisonS10OD025084 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$598k
NCI NIH HHS U01 CA231081NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R01 AG078794NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIH HHS S10 OD025084
6 · The paper itself

Abstract

Protein phosphorylation is an important post-translational modification (PTM), which is involved in many important cellular functions. Understanding protein phosphorylation at the molecular level is critical to deciphering its relevant biological processes and signaling networks. Mass spectrometry (MS) has become a powerful tool for the comprehensive profiling of protein phosphorylation. Yet the low ionization efficiency and low abundance of phosphopeptides among complex biological samples make its MS analysis challenging; an enrichment strategy with high efficiency and selectivity is always necessary prior to MS analysis. In this study, we developed a phosphorylated cotton-fiber-based Ti(IV)-IMAC material (termed as Cotton Ti-IMAC) that can serve as a novel platform for phosphopeptide enrichment. The cotton fiber can be effectively grafted with phosphate groups covalently in a single step, where the titanium ions can then be immobilized to enable capturing phosphopeptides. The material can be prepared using cost-effective reagents within only 4 h. Benefiting from the flexibility and filterability of cotton fibers, the material can be easily packed as a spin-tip and make the enrichment process convenient. Cotton Ti-IMAC successfully enriched phosphopeptides from protein standard digests and exhibited a high selectivity (BSA/β-casein = 1000:1) and excellent sensitivity (0.1 fmol/μL). Moreover, 2354 phosphopeptides were profiled in one LC-MS/MS injection after enriching from only 100 μg of HeLa cell digests with an enrichment specificity of up to 97.51%. Taken together, we believe that Cotton Ti-IMAC can serve as a widely applicable and robust platform for achieving large-scale phosphopeptide enrichment and expanding our knowledge of phosphoproteomics in complex biological systems.

Indexed as

PhosphopeptidesTitaniumChromatography, AffinityChromatography, LiquidHeLa CellsHumansImidazolesTandem Mass Spectrometryimidazoleacetic acidImidazolesPhosphopeptidesTitaniumCotton fiberEnrichmentImmobilized metal affinity chromatographyLC-MS/MSPhosphoproteomicsProtein PTM analysis

Identifiers

PMID37812448
PMCPMC10730235

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.