Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 37

1.

Dietary Depletion of Milk Exosomes and Their MicroRNA Cargos Elicits a Depletion of miR-200a-3p and Elevated Intestinal Inflammation and Chemokine (C-X-C Motif) Ligand 9 Expression in Mdr1a-/- Mice.

Wu D, Kittana H, Shu J, Kachman SD, Cui J, Ramer-Tait AE, Zempleni J.

Curr Dev Nutr. 2019 Oct 31;3(12):nzz122. doi: 10.1093/cdn/nzz122. eCollection 2019 Dec.

2.

Intimate Attachment of Escherichia coli O157:H7 to Urinary Bladder Epithelium in the Gnotobiotic Piglet Model.

Moxley RA, Bargar TW, Kachman SD, Baker DR, Francis DH.

Microorganisms. 2020 Feb 15;8(2). pii: E263. doi: 10.3390/microorganisms8020263.

3.

Protective Role of Shiitake Mushroom-Derived Exosome-Like Nanoparticles in D-Galactosamine and Lipopolysaccharide-Induced Acute Liver Injury in Mice.

Liu B, Lu Y, Chen X, Muthuraj PG, Li X, Pattabiraman M, Zempleni J, Kachman SD, Natarajan SK, Yu J.

Nutrients. 2020 Feb 13;12(2). pii: E477. doi: 10.3390/nu12020477.

4.

Dietary bovine milk exosomes elicit changes in bacterial communities in C57BL/6 mice.

Zhou F, Paz HA, Sadri M, Cui J, Kachman SD, Fernando SC, Zempleni J.

Am J Physiol Gastrointest Liver Physiol. 2019 Nov 1;317(5):G618-G624. doi: 10.1152/ajpgi.00160.2019. Epub 2019 Sep 11.

PMID:
31509432
5.

Detection of atypical porcine pestivirus genome in newborn piglets affected by congenital tremor and high preweaning mortality1.

Sutton KM, Lahmers KK, Harris SP, Wijesena HR, Mote BE, Kachman SD, Borza T, Ciobanu DC.

J Anim Sci. 2019 Oct 3;97(10):4093-4100. doi: 10.1093/jas/skz267.

PMID:
31396615
6.

Genetic relationships among sperm quality traits of Duroc boars collected during the summer season.

Gruhot T, Gray K, Brown V, Huang Y, Kachman SD, Spangler ML, Mote B.

Anim Reprod Sci. 2019 Jul;206:85-92. doi: 10.1016/j.anireprosci.2019.05.012. Epub 2019 May 24.

PMID:
31151862
7.

Evaluation of genotype quality parameters for SowPro90, a new genotyping array for swine1.

Wijesena HR, Rohrer GA, Nonneman DJ, Keel BN, Petersen JL, Kachman SD, Ciobanu DC.

J Anim Sci. 2019 Jul 30;97(8):3262-3273. doi: 10.1093/jas/skz185.

PMID:
31150541
8.

The impact of clustering methods for cross-validation, choice of phenotypes, and genotyping strategies on the accuracy of genomic predictions.

Baller JL, Howard JT, Kachman SD, Spangler ML.

J Anim Sci. 2019 Apr 3;97(4):1534-1549. doi: 10.1093/jas/skz055.

9.

Coordinated regulation of transcription by CcpA and the Staphylococcus aureus two-component system HptRS.

Reed JM, Olson S, Brees DF, Griffin CE, Grove RA, Davis PJ, Kachman SD, Adamec J, Somerville GA.

PLoS One. 2018 Dec 12;13(12):e0207161. doi: 10.1371/journal.pone.0207161. eCollection 2018.

10.

Synaptogyrin-2 influences replication of Porcine circovirus 2.

Walker LR, Engle TB, Vu H, Tosky ER, Nonneman DJ, Smith TPL, Borza T, Burkey TE, Plastow GS, Kachman SD, Ciobanu DC.

PLoS Genet. 2018 Oct 31;14(10):e1007750. doi: 10.1371/journal.pgen.1007750. eCollection 2018 Oct.

11.

The heritability of pampiniform plexus vessel size and varicocoele in boars.

Gruhot TR, Rempel LA, Spangler ML, Kachman SD, Mote BE.

Reprod Domest Anim. 2019 Feb;54(2):270-274. doi: 10.1111/rda.13350. Epub 2018 Oct 22.

PMID:
30246894
12.

The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction.

Howard JT, Rathje TA, Bruns CE, Wilson-Wells DF, Kachman SD, Spangler ML.

J Anim Sci. 2018 Nov 21;96(11):4532-4542. doi: 10.1093/jas/sky330.

13.

The impact of truncating data on the predictive ability for single-step genomic best linear unbiased prediction.

Howard JT, Rathje TA, Bruns CE, Wilson-Wells DF, Kachman SD, Spangler ML.

J Anim Breed Genet. 2018 Jun 8. doi: 10.1111/jbg.12334. [Epub ahead of print]

PMID:
29882604
14.

Genome-wide association study for feed efficiency traits using SNP and haplotype models.

Schweer KR, Kachman SD, Kuehn LA, Freetly HC, Pollak JE, Spangler ML.

J Anim Sci. 2018 Jun 4;96(6):2086-2098. doi: 10.1093/jas/sky119.

15.

Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins.

He J, Xu J, Wu XL, Bauck S, Lee J, Morota G, Kachman SD, Spangler ML.

Genetica. 2018 Apr;146(2):137-149. doi: 10.1007/s10709-017-0004-9. Epub 2017 Dec 14.

PMID:
29243001
16.

A 16.7 kb deletion in Sipa1l3 is associated with juvenile cataract in mice.

Walker LR, Tosky ER, Sutton KM, Griess R, Abebe MD, Barnes SY, Cunnigham T, Kachman SD, Nielsen MK, Ciobanu DC.

Mamm Genome. 2017 Dec;28(11-12):515-519. doi: 10.1007/s00335-017-9720-9. Epub 2017 Sep 26.

17.

Variation in time and magnitude of immune response and viremia in experimental challenges with Porcine circovirus 2b.

Engle TB, Jobman EE, Moural TW, McKnite AM, Bundy JW, Barnes SY, Davis EH, Galeota JA, Burkey TE, Plastow GS, Kachman SD, Ciobanu DC.

BMC Vet Res. 2014 Dec 4;10:286. doi: 10.1186/s12917-014-0286-4.

18.

QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies.

Saatchi M, Beever JE, Decker JE, Faulkner DB, Freetly HC, Hansen SL, Yampara-Iquise H, Johnson KA, Kachman SD, Kerley MS, Kim J, Loy DD, Marques E, Neibergs HL, Pollak EJ, Schnabel RD, Seabury CM, Shike DW, Snelling WM, Spangler ML, Weaber RL, Garrick DJ, Taylor JF.

BMC Genomics. 2014 Nov 20;15:1004. doi: 10.1186/1471-2164-15-1004.

19.

Beef cattle body temperature during climatic stress: a genome-wide association study.

Howard JT, Kachman SD, Snelling WM, Pollak EJ, Ciobanu DC, Kuehn LA, Spangler ML.

Int J Biometeorol. 2014 Sep;58(7):1665-72. doi: 10.1007/s00484-013-0773-5. Epub 2013 Dec 22.

PMID:
24362770
20.

Comparison of molecular breeding values based on within- and across-breed training in beef cattle.

Kachman SD, Spangler ML, Bennett GL, Hanford KJ, Kuehn LA, Snelling WM, Thallman RM, Saatchi M, Garrick DJ, Schnabel RD, Taylor JF, Pollak EJ.

Genet Sel Evol. 2013 Aug 16;45:30. doi: 10.1186/1297-9686-45-30.

Supplemental Content

Loading ...
Support Center