Evidence map›Paper›PMID 24556279›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2014

Targeting deeper the human serum fucome by a liquid-phase multicolumn platform in combination with combinatorial peptide ligand libraries.

Subhashini Selvaraju, Ziad El Rassi

Abstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2014. 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
0.7field-weighted citation impact, top 29% of its field
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, 9 citations in OpenAlex.

  1. Exploring the five-paced viper (The journal of venomous animals and toxins including tropical diseases · 2021
    Article
  2. Capturing and identification of differentially expressed fucome by a gel free and label free approach.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2015
    Article
  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Subhashini SelvarajuDepartment of Chemistry, Oklahoma State University, Stillwater, OK 74078-3071, United States.
Ziad El RassiDepartment of Chemistry, Oklahoma State University, Stillwater, OK 74078-3071, United States. Electronic address: elrassi@okstate.edu.
Oklahoma State University · US

Funding

Strategies for Targeting Sub-GlycoproteomicsR15GM096286 · NIGMS · OKLAHOMA STATE UNIVERSITY STILLWATER · PI EL RASSI, ZIAD · 2011 to 2011
$266k
NIGMS NIH HHS 1R15GM096286-01NIGMS NIH HHS R15 GM096286
6 · The paper itself

Abstract

Combinatorial peptide ligand library (CPLL) was evaluated as an off line step to narrow the differences of protein concentration in human serum prior to the capturing of human fucome from disease-free and breast cancer sera by a multicolumn platform via lectin affinity chromatography (LAC) followed by the fractionation of the captured glycoproteins by reversed phase chromatography (RPC). Two monolithic lectin columns specific to fucose, namely Aleuria aurantia lectin (AAL) and Lotus tetragonolobus agglutinin (LTA) columns were utilized to capture the fucome, which was subsequently fractionated by RPC yielding desalted fractions in volatile acetonitrile-rich mobile phase, which after vacuum evaporation were subjected to tryptic digestion prior to LC-MS/MS analysis. AAL has a strong affinity towards core fucosylated N-glycans and has a weak binding towards fucose in the outer arm while LTA can bind to glycans having fucose present in the outer arm. The combined strategy consisting of the CPLL, multicolumn platform and LC-MS/MS analysis permitted the identification of the differentially expressed proteins (DEPs) in breast cancer serum yielding 58 DEPs in both the LTA and AAL fractions with 6 DEPs common to both lectins. 17 DEPs were of the low abundance type, 16 DEPs of the borderline abundance type, 4 DEPs of the medium abundance type and 15 DEPs of the high abundance type. The remaining 6 DEPs are of unknown concentration. Only proteins exhibiting 99.9% protein identification probability, 95% peptide identification probability, and a minimum of 5 unique peptides were considered in finding the DEPs via scatterplots.

Indexed as

Peptide LibraryBreast NeoplasmsChromatography, AffinityCombinatorial Chemistry TechniquesFemaleFucoseGlycomicsGlycoproteinsHumansLectinsProteomicsFucosefucose-binding lectinGlycoproteinsLectinsPeptide LibraryBreast cancer serumFucosylationGlycoproteinsLectin affinity chromatographyMonolithic columnsProteoMiner™

Identifiers

PMID24556279
PMCPMC3959646
OpenAlexW2095548071

What OpenQuestion 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 OpenQuestion graph.