Evidence map›Paper›PMID 41741479›Full record

ArticleScientific data2026

Proteome Dataset of Serum and Albumin-Depleted Serum of Labeo rohita Under Cold Temperature Stress.

Poonam Jayant Singh, Arpita Batta

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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
–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

0 citing papers in PubMed.

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.

Poonam Jayant SinghNational Bureau of Fish Genetic Resources, Canal Ring Road, PO Dilkusha, Lucknow, 226002, India. Poonamjayant@gmail.com.ORCID http://orcid.org/0000-0002-9476-644X
Arpita BattaNational Bureau of Fish Genetic Resources, Canal Ring Road, PO Dilkusha, Lucknow, 226002, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Labeo rohita, a commercially important Indian major carp, undergoes significant physiological and molecular alterations under cold stress. This Data Descriptor presents comprehensive proteomic and hormonal data capturing the fish's adaptive response to prolonged sub-lethal low temperature exposure (5-10 °C for 45 days). High-resolution LC-MS/MS analysis of serum and albumin-depleted serum revealed extensive proteome remodelling, indicating mechanisms of metabolic reprogramming, immune modulation, and post-translational regulation. A total of 598 proteins were identified in serum from cold-stressed fish and 335 in controls, while 1372 proteins were detected in albumin-depleted serum of stressed fish and 462 in controls, from 75,406 MS/MS spectra. In serum, 99 proteins were unique to controls, 75 to stressed fish, and 133 were shared; in albumin-depleted serum, 652 proteins were unique to controls, 366 to stressed fish, and 190 were common to both. Differentially expressed proteins were associated with energy metabolism, cytoskeletal organization, and cellular stress responses, highlighting key adaptive pathways. Hormonal profiling indicated reduced levels of thyroxine (T4), triiodothyronine (T3), and cortisol, alongside elevated estradiol and testosterone. GO enrichment analysis of DEPs revealed significant shifts in metabolic, stress response, and cellular homeostasis pathways. Together, these data offer a molecular framework for understanding cold adaptation in L. rohita, with implications for stress biomarker discovery and enhancing aquaculture resilience under climate variability.

Indexed as

CarpsCold-Shock ResponseCold TemperatureFish ProteinsProteomeAnimalsStress, PhysiologicalFish ProteinsProteome

Identifiers

PMID41741479
PMCPMC13046824

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LicenceCC BY-NC-ND
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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.