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Items: 1 to 20 of 35

1.

Whole-genome scan reveals significant non-additive effects for sire conception rate in Holstein cattle.

Nicolini P, Amorín R, Han Y, Peñagaricano F.

BMC Genet. 2018 Feb 27;19(1):14. doi: 10.1186/s12863-018-0600-4.

2.

Integrative analysis of methylomic and transcriptomic data in fetal sheep muscle tissues in response to maternal diet during pregnancy.

Namous H, Peñagaricano F, Del Corvo M, Capra E, Thomas DL, Stella A, Williams JL, Marsan PA, Khatib H.

BMC Genomics. 2018 Feb 6;19(1):123. doi: 10.1186/s12864-018-4509-0.

3.

Mechanisms for rescue of CL during pregnancy: Gene expression in bovine CL following intrauterine pulses of Prostaglandins E1 and F2α.

Ochoa JC, Peñagaricano F, Baez GM, Melo LF, Motta JC, Guerra AG, Meidan R, Ferreira JCP, Sartori R, Wiltbank MC.

Biol Reprod. 2017 Dec 27. doi: 10.1093/biolre/iox183. [Epub ahead of print]

PMID:
29293919
4.

Predicting bull fertility using genomic data and biological information.

Abdollahi-Arpanahi R, Morota G, Peñagaricano F.

J Dairy Sci. 2017 Dec;100(12):9656-9666. doi: 10.3168/jds.2017-13288. Epub 2017 Oct 4.

5.

Modelling female fertility traits in beef cattle using linear and non-linear models.

Naya H, Peñagaricano F, Urioste JI.

J Anim Breed Genet. 2017 Jun;134(3):202-212. doi: 10.1111/jbg.12266.

PMID:
28508488
6.

Unravelling the genomic architecture of bull fertility in Holstein cattle.

Han Y, Peñagaricano F.

BMC Genet. 2016 Nov 14;17(1):143.

7.

MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken.

Morota G, Beissinger TM, Peñagaricano F.

G3 (Bethesda). 2016 Aug 9;6(8):2447-53. doi: 10.1534/g3.116.031096.

8.

Genome-wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population.

Abdalla EA, Peñagaricano F, Byrem TM, Weigel KA, Rosa GJ.

Anim Genet. 2016 Aug;47(4):395-407. doi: 10.1111/age.12438. Epub 2016 Apr 19.

PMID:
27090879
9.

Genetic parameters of objectionable fibers and of their associations with fleece traits in Corriedale sheep.

Sánchez AL, Urioste JI, Peñagaricano F, Neimaur K, Sienra I, Naya H, Kremer R.

J Anim Sci. 2016 Jan;94(1):13-20. doi: 10.2527/jas.2015-9619.

PMID:
26812307
10.

Searching for causal networks involving latent variables in complex traits: Application to growth, carcass, and meat quality traits in pigs.

Peñagaricano F, Valente BD, Steibel JP, Bates RO, Ernst CW, Khatib H, Rosa GJ.

J Anim Sci. 2015 Oct;93(10):4617-23. doi: 10.2527/jas.2015-9213.

PMID:
26523553
11.

Transcriptomic Analysis of the Mouse Mammary Gland Reveals New Insights for the Role of Serotonin in Lactation.

Laporta J, Peñagaricano F, Hernandez LL.

PLoS One. 2015 Oct 15;10(10):e0140425. doi: 10.1371/journal.pone.0140425. eCollection 2015.

12.

Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data.

Peñagaricano F, Valente BD, Steibel JP, Bates RO, Ernst CW, Khatib H, Rosa GJ.

BMC Syst Biol. 2015 Sep 16;9:58. doi: 10.1186/s12918-015-0207-6.

13.

Increasing serotonin concentrations alter calcium and energy metabolism in dairy cows.

Laporta J, Moore SA, Weaver SR, Cronick CM, Olsen M, Prichard AP, Schnell BP, Crenshaw TD, Peñagaricano F, Bruckmaier RM, Hernandez LL.

J Endocrinol. 2015 Jul;226(1):43-55. doi: 10.1530/JOE-14-0693.

14.

An application of MeSH enrichment analysis in livestock.

Morota G, Peñagaricano F, Petersen JL, Ciobanu DC, Tsuyuzaki K, Nikaido I.

Anim Genet. 2015 Aug;46(4):381-7. doi: 10.1111/age.12307. Epub 2015 Jun 2.

15.

The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models.

Valente BD, Morota G, Peñagaricano F, Gianola D, Weigel K, Rosa GJ.

Genetics. 2015 Jun;200(2):483-94. doi: 10.1534/genetics.114.169490. Epub 2015 Apr 23.

16.

Maternal nutrition induces gene expression changes in fetal muscle and adipose tissues in sheep.

Peñagaricano F, Wang X, Rosa GJ, Radunz AE, Khatib H.

BMC Genomics. 2014 Nov 28;15:1034. doi: 10.1186/1471-2164-15-1034.

17.

Insights into the maize pan-genome and pan-transcriptome.

Hirsch CN, Foerster JM, Johnson JM, Sekhon RS, Muttoni G, Vaillancourt B, Peñagaricano F, Lindquist E, Pedraza MA, Barry K, de Leon N, Kaeppler SM, Buell CR.

Plant Cell. 2014 Jan;26(1):121-35. doi: 10.1105/tpc.113.119982. Epub 2014 Jan 31.

18.

Invited review: Genetic contributions underlying the development of preimplantation bovine embryos.

Kropp J, Peñagaricano F, Salih SM, Khatib H.

J Dairy Sci. 2014 Mar;97(3):1187-201. doi: 10.3168/jds.2013-7244. Epub 2013 Dec 28. Review.

PMID:
24377798
19.

Effect of maternal methionine supplementation on the transcriptome of bovine preimplantation embryos.

Peñagaricano F, Souza AH, Carvalho PD, Driver AM, Gambra R, Kropp J, Hackbart KS, Luchini D, Shaver RD, Wiltbank MC, Khatib H.

PLoS One. 2013 Aug 21;8(8):e72302. doi: 10.1371/journal.pone.0072302. eCollection 2013.

20.

Knockdown of CDKN1C (p57(kip2)) and PHLDA2 results in developmental changes in bovine pre-implantation embryos.

Driver AM, Huang W, Kropp J, Peñagaricano F, Khatib H.

PLoS One. 2013 Jul 22;8(7):e69490. doi: 10.1371/journal.pone.0069490. Print 2013.

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