MicroRNA profiles in colostrum and transition milk of non-dairy goats fed with or without resveratrol

MicroRNAs are non-coding RNAs that regulate gene expression at the post-transcriptional level. To aid research on support the study of microRNAs in goat milk, we provide a dataset describing the microRNA profiles of small extracellular vesicles from colostrum and transition milk of dairy goats fed either a standard diet or a diet supplemented with resveratrol. In this study, we analyzed the microRNA profiles in small extracellular vesicles (sEVs) from colostrum and transition milk of dairy goats supplemented with or without resveratrol. A total of 30 milk samples were analyzed and 406 known microRNAs were identified, with let-7c-5p (10.48% ± 0.54%) being the most abundant, followed by let-7a-5p (9.18% ± 0.47%) and let-7f-5p (8.19% ± 0.43%). The microRNA profiles were clustered into two groups (0 d and 7 d) irrespective of resveratrol supplementation. This resource enables comparative studies of microRNA composition in goat colostrum and transition milk, facilitates research into the effects of diet on milk microRNAs, and supports studies on the transmission and function of microRNAs in neonatal development.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-05-09
DOI
https://doi.org/10.1038/s41597-026-07403-z
Primary Topic
Animal health and immunology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MicroRNA profiles in colostrum and transition milk of non-dairy goats fed with or without resveratrol

Tongyu Sun, A. Zhou, Morteza H. Ghaffari, Shuzhen Wang et al.
Scientific Data
Animal health and immunology
article

MicroRNA profiles in colostrum and transition milk of non-dairy goats fed with or without resveratrol

Tongyu Sun, A. Zhou, Morteza H. Ghaffari, Shuzhen Wang, Meiping He, Xiong Zhao, Tao Ma
article en

Abstract

MicroRNAs are non-coding RNAs that regulate gene expression at the post-transcriptional level. To aid research on support the study of microRNAs in goat milk, we provide a dataset describing the microRNA profiles of small extracellular vesicles from colostrum and transition milk of dairy goats fed either a standard diet or a diet supplemented with resveratrol. In this study, we analyzed the microRNA profiles in small extracellular vesicles (sEVs) from colostrum and transition milk of dairy goats supplemented with or without resveratrol. A total of 30 milk samples were analyzed and 406 known microRNAs were identified, with let-7c-5p (10.48% ± 0.54%) being the most abundant, followed by let-7a-5p (9.18% ± 0.47%) and let-7f-5p (8.19% ± 0.43%). The microRNA profiles were clustered into two groups (0 d and 7 d) irrespective of resveratrol supplementation. This resource enables comparative studies of microRNA composition in goat colostrum and transition milk, facilitates research into the effects of diet on milk microRNAs, and supports studies on the transmission and function of microRNAs in neonatal development.

Scientific Data
China Academy of Engineering Physics (CN), Anyang Academy of Agricultural Sciences (CN), Research Institute for Farm Animal Biology (FBN) (DE), Feed Research Institute (CN)
Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program
Zero hunger
Openalex Percentile: Top 5%
Animal health and immunology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.