Evidence map›Paper›PMID 25817263›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2015

Capturing and identification of differentially expressed fucome by a gel free and label free approach.

Chanida Puangpila, Ziad El Rassi

Abstract readEvaluation Study
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2015. 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
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 1 institution in 1 country.

Chanida PuangpilaDepartment 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

This research reports a proof-of-concept that describes an instrumental approach that is gel free and label free at both the separation and mass spectrometry ends for the capturing and identification of differentially expressed proteins (DEPs) in diseases, e.g., cancers. The research consists of subjecting/processing equalized and non-equalized (i.e., untreated) disease-free and hepatocellular carcinoma (HCC) human sera via a multicolumn platform for capturing/fractionating human serum fucome. The equalization was performed via the combinatorial peptide ligand library (CPLL) beads technology that ensured narrowing the protein concentration range, thus allowing the detection of low abundance proteins. The equalized and non-equalized disease-free and HCC sera were first fractionated online onto two lectin columns specific to fucose, namely Aleuria aurantia lectin (AAL) and Lotus tetragonolobus agglutinin (LTA) followed by the online fractionation of the lectin captured fucome by reversed phase chromatography. The online desalted fractions were first subjected to trypsinolysis and then to liquid chromatography-mass spectrometry (LC-MS/MS) analysis. In comparison with untreated serum, the CPLL treated serum is superior in terms of the total number of identified DEPs, which reflected an increased number of DEPs in a wide abundance range. The DEPs in HCC serum were found to be 70 and 40 in both LTA and AAL fractions for the serum treated by CPLL and untreated serum, respectively. In addition, the platform combined with the CPLL treatment was accomplished with virtually no sample loss and dilution as well as with no experimental biases and sample labeling when comparing the diseased-free and cancer sera using LC-MS/MS.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularChromatography, Reverse-PhaseGlycoproteinsHumansLectinsLiver NeoplasmsProteomicsTandem Mass SpectrometryBiomarkers, TumorGlycoproteinsLectinsFucosylationGlycoproteinsHepatocellular carcinomaLectin affinity chromatographyMonolithic columnsProteoMiner™

Identifiers

PMID25817263
PMCPMC4385428
OpenAlexW2044521132

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.