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Items: 1 to 20 of 57

1.

Prepartal Energy Intake Alters Blood Polymorphonuclear Leukocyte Transcriptome During the Peripartal Period in Holstein Cows.

Agrawal A, Khan MJ, Graugnard DE, Vailati-Riboni M, Rodriguez-Zas SL, Osorio JS, Loor JJ.

Bioinform Biol Insights. 2017 Apr 28;11:1177932217704667. doi: 10.1177/1177932217704667. eCollection 2017.

2.

Cerebellum Transcriptome of Mice Bred for High Voluntary Activity Offers Insights into Locomotor Control and Reward-Dependent Behaviors.

Caetano-Anollés K, Rhodes JS, Garland T Jr, Perez SD, Hernandez AG, Southey BR, Rodriguez-Zas SL.

PLoS One. 2016 Nov 28;11(11):e0167095. doi: 10.1371/journal.pone.0167095. eCollection 2016.

3.

Prepartum body condition score and plane of nutrition affect the hepatic transcriptome during the transition period in grazing dairy cows.

Vailati-Riboni M, Meier S, Burke CR, Kay JK, Mitchell MD, Walker CG, Crookenden MA, Heiser A, Rodriguez-Zas SL, Roche JR, Loor JJ.

BMC Genomics. 2016 Nov 2;17(1):854.

4.

Differential Transcriptome Networks between IDO1-Knockout and Wild-Type Mice in Brain Microglia and Macrophages.

Gonzalez-Pena D, Nixon SE, Southey BR, Lawson MA, McCusker RH, Hernandez AG, Dantzer R, Kelley KW, Rodriguez-Zas SL.

PLoS One. 2016 Jun 17;11(6):e0157727. doi: 10.1371/journal.pone.0157727. eCollection 2016.

5.

Microglia Transcriptome Changes in a Model of Depressive Behavior after Immune Challenge.

Gonzalez-Pena D, Nixon SE, O'Connor JC, Southey BR, Lawson MA, McCusker RH, Borras T, Machuca D, Hernandez AG, Dantzer R, Kelley KW, Rodriguez-Zas SL.

PLoS One. 2016 Mar 9;11(3):e0150858. doi: 10.1371/journal.pone.0150858. eCollection 2016.

6.

Characterization of Genomic Variants Associated with Scout and Recruit Behavioral Castes in Honey Bees Using Whole-Genome Sequencing.

Southey BR, Zhu P, Carr-Markell MK, Liang ZS, Zayed A, Li R, Robinson GE, Rodriguez-Zas SL.

PLoS One. 2016 Jan 19;11(1):e0146430. doi: 10.1371/journal.pone.0146430. eCollection 2016.

7.

Maternal Plane of Nutrition during Late Gestation and Weaning Age Alter Angus × Simmental Offspring Longissimus Muscle Transcriptome and Intramuscular Fat.

Moisá SJ, Shike DW, Shoup L, Rodriguez-Zas SL, Loor JJ.

PLoS One. 2015 Jul 8;10(7):e0131478. doi: 10.1371/journal.pone.0131478. eCollection 2015.

8.

Acute mammary and liver transcriptome responses after an intramammary Escherichia coli lipopolysaccharide challenge in postpartal dairy cows.

Minuti A, Zhou Z, Graugnard DE, Rodriguez-Zas SL, Palladino AR, Cardoso FC, Trevisi E, Loor JJ.

Physiol Rep. 2015 Apr;3(4). pii: e12388. doi: 10.14814/phy2.12388.

9.

Synergistic and antagonistic interplay between myostatin gene expression and physical activity levels on gene expression patterns in triceps Brachii muscles of C57/BL6 mice.

Caetano-Anollés K, Mishra S, Rodriguez-Zas SL.

PLoS One. 2015 Feb 24;10(2):e0116828. doi: 10.1371/journal.pone.0116828. eCollection 2015.

10.

Analytical workflow profiling gene expression in murine macrophages.

Nixon SE, González-Peña D, Lawson MA, McCusker RH, Hernandez AG, O'Connor JC, Dantzer R, Kelley KW, Rodriguez-Zas SL.

J Bioinform Comput Biol. 2015 Apr;13(2):1550010. doi: 10.1142/S0219720015500109. Epub 2015 Jan 14.

11.

Identification of best indicators of peptide-spectrum match using a permutation resampling approach.

Akhtar MN, Southey BR, Andrén PE, Sweedler JV, Rodriguez-Zas SL.

J Bioinform Comput Biol. 2014 Oct;12(5):1440001. doi: 10.1142/S0219720014400010.

12.

Comparative brain transcriptomic analyses of scouting across distinct behavioural and ecological contexts in honeybees.

Liang ZS, Mattila HR, Rodriguez-Zas SL, Southey BR, Seeley TD, Robinson GE.

Proc Biol Sci. 2014 Dec 22;281(1797). pii: 20141868. doi: 10.1098/rspb.2014.1868.

13.

Accurate assignment of significance to neuropeptide identifications using Monte Carlo k-permuted decoy databases.

Akhtar MN, Southey BR, Andrén PE, Sweedler JV, Rodriguez-Zas SL.

PLoS One. 2014 Oct 17;9(10):e111112. doi: 10.1371/journal.pone.0111112. eCollection 2014.

14.

Advancing the understanding of behaviors associated with Bacille Calmette Guérin infection using multivariate analysis.

Rodriguez-Zas SL, Nixon SE, Lawson MA, Mccusker RH, Southey BR, O'Connor JC, Dantzer R, Kelley KW.

Brain Behav Immun. 2015 Feb;44:176-86. doi: 10.1016/j.bbi.2014.09.018. Epub 2014 Oct 7.

15.

Integrative analyses of hepatic differentially expressed genes and blood biomarkers during the peripartal period between dairy cows overfed or restricted-fed energy prepartum.

Shahzad K, Bionaz M, Trevisi E, Bertoni G, Rodriguez-Zas SL, Loor JJ.

PLoS One. 2014 Jun 10;9(6):e99757. doi: 10.1371/journal.pone.0099757. eCollection 2014.

16.

Postpartal subclinical endometritis alters transcriptome profiles in liver and adipose tissue of dairy cows.

Akbar H, Cardoso FC, Meier S, Burke C, McDougall S, Mitchell M, Walker C, Rodriguez-Zas SL, Everts RE, Lewin HA, Roche JR, Loor JJ.

Bioinform Biol Insights. 2014 Feb 19;8:45-63. doi: 10.4137/BBI.S13735. eCollection 2014.

17.

Bivariate genome-wide association analysis of the growth and intake components of feed efficiency.

Serão NV, González-Peña D, Beever JE, Bollero GA, Southey BR, Faulkner DB, Rodriguez-Zas SL.

PLoS One. 2013 Oct 29;8(10):e78530. doi: 10.1371/journal.pone.0078530. eCollection 2013.

18.

Single nucleotide polymorphisms and haplotypes associated with feed efficiency in beef cattle.

Serão NV, González-Peña D, Beever JE, Faulkner DB, Southey BR, Rodriguez-Zas SL.

BMC Genet. 2013 Sep 25;14:94. doi: 10.1186/1471-2156-14-94.

19.

Multifactorial Understanding of Ion Abundance in Tandem Mass Spectrometry Experiments.

Fazal Z, Southey BR, Sweedler JV, Rodriguez-Zas SL.

J Proteomics Bioinform. 2013 Jan 29;6(2):23-29.

20.

Bioinformatics analysis of transcriptome dynamics during growth in angus cattle longissimus muscle.

Moisá SJ, Shike DW, Graugnard DE, Rodriguez-Zas SL, Everts RE, Lewin HA, Faulkner DB, Berger LL, Loor JJ.

Bioinform Biol Insights. 2013 Aug 4;7:253-70. doi: 10.4137/BBI.S12328. eCollection 2013.

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