ArticleBMC genomics2026
Quantitative proteomic analysis was performed to evaluate the protein expression levels in the ovaries of goats with different litter sizes.
Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundThe litter size of goats is a key factor affecting their reproductive performance. The ovary plays a central role in the reproductive process of goats. However, the relationship between the dynamic changes in the ovarian proteome and the prolific traits of goats remains unclear. The Jining Grey Goat, an excellent dual-purpose meat and skin breed in China, is famous for its distinctive coat color characteristics and high reproductive performance.
methodsIt is an ideal animal model for studying goat reproductive performance. We selected 8 Jining Grey Goats and divided them into a single-birth group (n = 4) and a multiple-birth group (n = 4) to collect ovarian tissue samples. The iTRAQ technology, bioinformatics analysis, and Western blot were employed to investigate protein expression differences in ovarian tissues of goats with varying litter sizes.
resultsA total of 468 differentially expressed proteins (DEPs) were identified, of which 255 were up-regulated and 213 were down-regulated. GO enrichment analysis showed that these DEPs were mainly involved in biological processes such as cellular processes and metabolic processes, as well as molecular functions such as actin filament binding and calcium ion binding. KEGG pathway enrichment analysis revealed that the focal adhesion, Oxytocin Signaling Pathway, and PPAR Signaling Pathway were significantly enriched. Protein interaction network analysis identified CAV1, FLNA, CNN1, TAGLN, and MYH11 as key candidate proteins, and Western blot verification results were consistent with the iTRAQ trends.
conclusionThis study revealed the molecular regulatory network of prolific traits in Jining Grey Goats from a proteomics perspective, providing a new insight into analyzing the genetic basis of goat fertility and serving as a reference for studying reproductive traits in other economically significant animals.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.