Evidence map›Paper›PMID 41877917›Full record

ArticleFrontiers in veterinary science2026

TMT-based proteomic profiling of serum reveals the impact of developmental stage and generation in beef cattle.

Cunming Yang, Zhen Ma, Xiao Wang, Ullah Yaseen, Kexin Xu, Mingrui Fan, Xiangmin Yan, Zongsheng Zhao, Lei Chen

Abstract read
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Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Cunming YangCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Zhen MaCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Xiao WangInstitute of Animal Husbandry, Xinjiang Academy of Animal Husbandry, Urumqi, China.
Ullah YaseenCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Kexin XuCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Mingrui FanCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Xiangmin YanInstitute of Animal Husbandry, Xinjiang Academy of Animal Husbandry, Urumqi, China.
Zongsheng ZhaoCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Lei ChenCollege of Animal Science and Technology, Shihezi University, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Xinjiang Brown cattle are an important beef breed in Northwest China. Although multigenerational selective breeding has improved their growth performance, the accompanying molecular adaptations and potential physiological trade- ofs remain insufficiently elucidated at the systemic level. This study aimed to decipher the dynamic serum proteomic profiles shaped by both ontogeny and generational selection in Xinjiang Brown cattle, and to identify the associated key proteins and pathways. Methods: Serum samples from 18 bulls across three genera- tions (A, B, C) at 3 and 9 months of age were analyzed using Tandem Mass Tag (TMT)-based quantitative proteomics. Results: Under stringent quality control (FDR < 1%), 583 high-confidence proteins were identified. Diferentially expressed proteins (DEPs) were screened using thresholds of |fold change| ≥ 1.2 and Discussion: This study reveals that the breeding strategy for Xinjiang Brown cattle prioritizes shaping a proteomic landscape that promotes growth and metabolism, potentially at the cost of atten- uated immune-vascular reactivity. The identified panel of candidate proteins pro- vides a molecular framework for evaluating breeding outcomes and designing balanced selection strategies. Follow-up research should further investigate the functions of these candidate proteins and validate their predictive value for health and production performance in independent herds.

Indexed as

age effectsAPOA4HIST2H2ACmultigenerational selective breedingTMT-based serum proteomicsXinjiang Brown cattle (beef type)

Identifiers

PMID41877917
PMCPMC13007506

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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.