Evidence map›Paper›PMID 35754844›Full record

ArticleFrontiers in genetics2022

Comparative Proteome Profiling of Saliva Between Estrus and Non-Estrus Stages by Employing Label-Free Quantitation (LFQ) and Tandem Mass Tag (TMT)-LC-MS/MS Analysis: An Approach for Estrus Biomarker Identification in

Laishram Kipjen Singh, Mamta Pandey, Rubina Kumari Baithalu, Abhijeet Fernandes, Syed Azmal Ali, Latika Jaiswal, Suryaprakash Pannu, Neeraj, Tushar K Mohanty, A Kumaresan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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

13 authors at 1 institution in 2 countries.

Laishram Kipjen SinghAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
Mamta PandeyMolecular Reproduction Lab, Animal Biotechnology Center, ICAR-National Dairy Research Institute, Karnal, India.
Rubina Kumari BaithaluAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
Abhijeet FernandesAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
Syed Azmal AliProteomics and Cell Biology Lab, Animal Biotechnology Center, ICAR-National Dairy Research Institute, Karnal, India.
Latika JaiswalMolecular Reproduction Lab, Animal Biotechnology Center, ICAR-National Dairy Research Institute, Karnal, India.
Suryaprakash PannuAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
NeerajAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
Tushar K MohantyAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
A KumaresanAnimal Reproduction, Gynaecology and Obstetrics, ICAR-National Dairy Research Institute, Karnal, India.
Tirtha K DattaAnimal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal, India.
Sudarshan KumarProteomics and Cell Biology Lab, Animal Biotechnology Center, ICAR-National Dairy Research Institute, Karnal, India.
Ashok K MohantyProteomics and Cell Biology Lab, Animal Biotechnology Center, ICAR-National Dairy Research Institute, Karnal, India.
National Dairy Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate determination of estrus is essentially required for efficient reproduction management of farm animals. Buffalo is a shy breeder and does not manifest overt signs of estrus that make estrus detection difficult resulting in a poor conception rate. Therefore, identifying estrus biomarkers in easily accessible biofluid such as saliva is of utmost interest. In the current study, we generated saliva proteome profiles during proestrus (PE), estrus (E), metestrus (ME), and diestrus (DE) stages of the buffalo estrous cycle using both label-free quantitation (LFQ) and labeled (TMT) quantitation and mass spectrometry analysis. A total of 520 proteins were identified as DEPs in LFQ; among these, 59 and four proteins were upregulated (FC ≥ 1.5) and downregulated (FC ≤ 0.5) during E vs. PE, ME, and DE comparisons, respectively. Similarly, TMT-LC-MS/MS analysis identified 369 DEPs; among these, 74 and 73 proteins were upregulated and downregulated during E vs. PE, ME, and DE stages, respectively. Functional annotations of GO terms showed enrichment of glycolysis, pyruvate metabolism, endopeptidase inhibitor activity, salivary secretion, innate immune response, calcium ion binding, oocyte meiosis, and estrogen signaling. Over-expression of SERPINB1, HSPA1A, VMO1, SDF4, LCN1, OBP, and ENO3 proteins during estrus was further confirmed by Western blotting. This is the first comprehensive report on differential proteome analysis of buffalo saliva between estrus and non-estrus stages. This study generated an important panel of candidate proteins that may be considered buffalo estrus biomarkers which can be applied in the development of a diagnostic kit for estrus detection in buffalo.

Indexed as

biomarkerestruslabel-free quantitationLC-MS/MSsalivatandem mass tag

Identifiers

PMID35754844
PMCPMC9217162
OpenAlexW4280628783

What OpenQuestion holds

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LicenceCC BY
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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.