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For: Nguyen LT, Reverter A, Cánovas A, Venus B, Anderson ST, Islas-Trejo A, Dias MM, Crawford NF, Lehnert SA, Medrano JF, Thomas MG, Moore SS, Fortes MRS. STAT6, PBX2, and PBRM1 Emerge as Predicted Regulators of 452 Differentially Expressed Genes Associated With Puberty in Brahman Heifers. Front Genet 2018;9:87. [PMID: 29616079 DOI: 10.3389/fgene.2018.00087] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Nguyen LT, Lau LY, Fortes MRS. Proteomic Analysis of Hypothalamus and Pituitary Gland in Pre and Postpubertal Brahman Heifers. Front Genet 2022;13:935433. [DOI: 10.3389/fgene.2022.935433] [Reference Citation Analysis]
2 Mohamed AR, Naval-sanchez M, Menzies M, Evans B, King H, Reverter A, Kijas JW. Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation. BMC Genomics 2022;23. [DOI: 10.1186/s12864-022-08514-8] [Reference Citation Analysis]
3 Chen SY, Schenkel FS, Melo ALP, Oliveira HR, Pedrosa VB, Araujo AC, Melka MG, Brito LF. Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole-genome sequence genotypes. BMC Genomics 2022;23:331. [PMID: 35484513 DOI: 10.1186/s12864-022-08555-z] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Ross EM, Sanjana H, Nguyen LT, Cheng Y, Moore SS, Hayes BJ. Extensive Variation in Gene Expression is Revealed in 13 Fertility-Related Genes Using RNA-Seq, ISO-Seq, and CAGE-Seq From Brahman Cattle. Front Genet 2022;13:784663. [DOI: 10.3389/fgene.2022.784663] [Reference Citation Analysis]
5 Fu W, Wang R, Nanaei HA, Wang J, Hu D, Jiang Y. RGD v2.0: a major update of the ruminant functional and evolutionary genomics database. Nucleic Acids Res 2021:gkab887. [PMID: 34643708 DOI: 10.1093/nar/gkab887] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
6 Alexandre PA, Naval-Sánchez M, Menzies M, Nguyen LT, Porto-Neto LR, Fortes MRS, Reverter A. Chromatin accessibility and regulatory vocabulary across indicine cattle tissues. Genome Biol 2021;22:273. [PMID: 34548076 DOI: 10.1186/s13059-021-02489-7] [Cited by in F6Publishing: 8] [Reference Citation Analysis]
7 Sweett H, Fonseca PAS, Suárez-Vega A, Livernois A, Miglior F, Cánovas A. Genome-wide association study to identify genomic regions and positional candidate genes associated with male fertility in beef cattle. Sci Rep 2020;10:20102. [PMID: 33208801 DOI: 10.1038/s41598-020-75758-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 9] [Article Influence: 0.5] [Reference Citation Analysis]
8 Alexandre PA, Hudson NJ, Lehnert SA, Fortes MRS, Naval-Sánchez M, Nguyen LT, Porto-Neto LR, Reverter A. Genome-Wide Co-Expression Distributions as a Metric to Prioritize Genes of Functional Importance. Genes (Basel) 2020;11:E1231. [PMID: 33092259 DOI: 10.3390/genes11101231] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Lau LY, Nguyen LT, Reverter A, Moore SS, Lynn A, McBride-Kelly L, Phillips-Rose L, Plath M, Macfarlane R, Vasudivan V, Morton L, Ardley R, Ye Y, Fortes MRS. Gene regulation could be attributed to TCF3 and other key transcription factors in the muscle of pubertal heifers. Vet Med Sci 2020;6:695-710. [PMID: 32432381 DOI: 10.1002/vms3.278] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
10 Fonseca PAS, Suárez-Vega A, Cánovas A. Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle. Genes (Basel) 2020;11:E543. [PMID: 32408659 DOI: 10.3390/genes11050543] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
11 Nolte W, Weikard R, Brunner RM, Albrecht E, Hammon HM, Reverter A, Küehn C. Identification and Annotation of Potential Function of Regulatory Antisense Long Non-Coding RNAs Related to Feed Efficiency in Bos taurus Bulls. Int J Mol Sci 2020;21:E3292. [PMID: 32384694 DOI: 10.3390/ijms21093292] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Ehsani R, Drabløs F. Enhanced identification of significant regulators of gene expression. BMC Bioinformatics 2020;21:134. [PMID: 32252623 DOI: 10.1186/s12859-020-3468-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Ghoreishifar SM, Moradi-Shahrbabak H, Fallahi MH, Jalil Sarghale A, Moradi-Shahrbabak M, Abdollahi-Arpanahi R, Khansefid M. Genomic measures of inbreeding coefficients and genome-wide scan for runs of homozygosity islands in Iranian river buffalo, Bubalus bubalis. BMC Genet 2020;21:16. [PMID: 32041535 DOI: 10.1186/s12863-020-0824-y] [Cited by in Crossref: 13] [Cited by in F6Publishing: 24] [Article Influence: 6.5] [Reference Citation Analysis]
14 Nolte W, Weikard R, Brunner RM, Albrecht E, Hammon HM, Reverter A, Kühn C. Biological Network Approach for the Identification of Regulatory Long Non-Coding RNAs Associated With Metabolic Efficiency in Cattle. Front Genet 2019;10:1130. [PMID: 31824560 DOI: 10.3389/fgene.2019.01130] [Cited by in Crossref: 8] [Cited by in F6Publishing: 19] [Article Influence: 2.7] [Reference Citation Analysis]
15 Li M, Lu X, Xia H, Zhang C, Wang X, Chen Z, Zhang H, Qu K, Huang B, Moore S, Mao Y, Yang Z. In-depth characterization of the pituitary transcriptome in Simmental and Chinese native cattle. Domest Anim Endocrinol 2019;66:35-42. [PMID: 30391830 DOI: 10.1016/j.domaniend.2018.09.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
16 Fortes MRS, Zacchi LF, Nguyen LT, Raidan F, Weller MMDCA, Choo JJY, Reverter A, Rego JPA, Boe-Hansen GB, Porto-Neto LR, Lehnert SA, Cánovas A, Schulz BL, Islas-Trejo A, Medrano JF, Thomas MG, Moore SS. Pre- and post-puberty expression of genes and proteins in the uterus of Bos indicus heifers: the luteal phase effect post-puberty. Anim Genet 2018;49:539-49. [PMID: 30192028 DOI: 10.1111/age.12721] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]