<HashMap><database>biostudies-arrayexpress</database><scores/><additional><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><submitter>Yajuan DONG</submitter><instrument_platform>Illumina HiSeq Xten</instrument_platform><instrument_platform>HiSeq X Ten</instrument_platform><study_type>RNA-seq of coding RNA</study_type><organism>Bos taurus</organism><species>Bos taurus</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16092</full_dataset_link><description>Placental lipid metabolism is a critical regulator of fetal growth and development. This study aims to identify candidate miRNAs and their target genes influencing placental lipid metabolism in famale cattle through integrated multi-omics analysis, and to elucidate their regulatory mechanisms, thereby providing a reference for the selection of calf birth weight.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Library Construction - Then the 3’ adapters were added and the 36-48nt RNAs were enriched.  The 5’ adapters were then ligated to the RNAs as well. The ligation products were reverse  transcribed by PCR amplification and the 140-160bp size PCR products were enriched to  generate a cDNA library and sequenced using Illumina HiSeq Xten by Gene Denovo  Biotechnology Co. (Guangzhou, China).</sample_protocol><sample_protocol>Sequencing - Reads obtained from the sequencing machines included dirty reads containing adapters or low  quality bases which would affect the following assembly and analysis. Thus, to get clean tags,  raw reads were further filtered according to the following rules:  containing unknown nucleotides(N);  2) Removing reads without 3’adapters;  3) Removing reads containing 5’adapters;  1) Removing low quality reads containing more than one low quality (Q-value≤20) base or  4) Removing reads containing 3’ and 5’ adapters but no small RNA fragment between them;  5) Removing reads containing ployA in small RNA fragment;  6) Removing reads shorter than 18nt (not include adapters).</sample_protocol><sample_protocol>Nucleic Acid Extraction - After total RNA was extracted by Trizol reagent kit (Invitrogen, Carlsbad, CA,USA), the RNA  molecules in a size range of 18–30nt were enriched by polyacrylamide gel  electrophoresis(PAGE). T</sample_protocol><sample_protocol>Sample Collection - The six experimental cattle used in this study were sourced from Shandong Zhaofu Animal Husbandry Technology Co., Ltd. The barns provided adequate lighting and ventilation, with suitable temperature and humidity, and all animals were maintained under consistent feeding conditions. The study protocol was approved by the Qingdao Agricultural University Institutional Animal Care and Use Committee (IACUC) (Approval No. DKY20220805, dated August 5, 2022). Placental tissues were collected postpartum, and their length, width, thickness, and weight were measured. Cotyledon tissues from the same anatomical location were collected and stored in liquid nitrogen at -80°C. calf birth weight, body height, chest circumference, and waistline were recorded. Based on placental weight, the cattle were divided into Group P (≥5.5 kg, n=3) and Group S (&lt;5.5 kg, n=3).</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><pubmed_authors>Yajuan DONG</pubmed_authors></additional><is_claimable>false</is_claimable><name>placenta miRNA-seq of blcattle black cattle</name><description>Placental lipid metabolism is a critical regulator of fetal growth and development. This study aims to identify candidate miRNAs and their target genes influencing placental lipid metabolism in famale cattle through integrated multi-omics analysis, and to elucidate their regulatory mechanisms, thereby providing a reference for the selection of calf birth weight.</description><dates><release>2025-11-25T00:00:00Z</release><modification>2025-11-25T02:02:32.946Z</modification><creation>2025-11-11T15:54:09.011Z</creation></dates><accession>E-MTAB-16092</accession><cross_references><ENA>ERP184218</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>