Open Access. Powered by Scholars. Published by Universities.®

Genetics and Genomics Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Genetics and Genomics

Increased Interactions And Engulfment Of Dendrites By Microglia Precede Purkinje Cell Degeneration In A Mouse Model Of Niemann Pick Type-C., Larisa Kavetsky, Kayla K Green, Bridget R Boyle, Fawad A K Yousufzai, Zachary M Padron, Sierra E Melli, Victoria L Kuhnel, Harriet M Jackson, Rosa E Blanco, Gareth R Howell, Ileana Soto Reyes Oct 2019

Increased Interactions And Engulfment Of Dendrites By Microglia Precede Purkinje Cell Degeneration In A Mouse Model Of Niemann Pick Type-C., Larisa Kavetsky, Kayla K Green, Bridget R Boyle, Fawad A K Yousufzai, Zachary M Padron, Sierra E Melli, Victoria L Kuhnel, Harriet M Jackson, Rosa E Blanco, Gareth R Howell, Ileana Soto Reyes

Faculty Scholarship for the College of Science & Mathematics

Niemann Pick Type-C disease (NPC) is an inherited lysosomal storage disease (LSD) caused by pathogenic variants in the Npc1 or Npc2 genes that lead to the accumulation of cholesterol and lipids in lysosomes. NPC1 deficiency causes neurodegeneration, dementia and early death. Cerebellar Purkinje cells (PCs) are particularly hypersensitive to NPC1 deficiency and degenerate earlier than other neurons in the brain. Activation of microglia is an important contributor to PCs degeneration in NPC. However, the mechanisms by which activated microglia promote PCs degeneration in NPC are not completely understood. Here, we are demonstrating that in the Npc1nmf164 mouse cerebellum, microglia …


Meox2 Haploinsufficiency Accelerates Axonal Degeneration In Dba/2j Glaucoma, Rebecca A Buchanan, Kate E Foley, Keating W Pepper, Alaina M Reagan, Kelly J Keezer, Amanda A Hewes, Cory A Diemler, Christoph Preuss, Ileana Soto Reyes, Simon W M John, Gareth R Howell Aug 2019

Meox2 Haploinsufficiency Accelerates Axonal Degeneration In Dba/2j Glaucoma, Rebecca A Buchanan, Kate E Foley, Keating W Pepper, Alaina M Reagan, Kelly J Keezer, Amanda A Hewes, Cory A Diemler, Christoph Preuss, Ileana Soto Reyes, Simon W M John, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Purpose: Glaucoma is a complex disease with major risk factors including advancing age and increased intraocular pressure (IOP). Dissecting these earliest events will likely identify new avenues for therapeutics. Previously, we performed transcriptional profiling in DBA/2J (D2) mice, a widely used mouse model relevant to glaucoma. Here, we use these data to identify and test regulators of early gene expression changes in DBA/2J glaucoma.

Methods: Upstream regulator analysis (URA) in Ingenuity Pathway Analysis was performed to identify potential master regulators of differentially expressed genes. The function of one putative regulator, mesenchyme homeobox 2 (Meox2), was tested using a combination of …


Fishermp: Fully Parallel Algorithm For Detecting Combinatorial Motifs From Large Chip-Seq Datasets., Shaoqiang Zhang, Ying Liang, Xiangyun Wang, Zhengchang Su, Yong Chen Jun 2019

Fishermp: Fully Parallel Algorithm For Detecting Combinatorial Motifs From Large Chip-Seq Datasets., Shaoqiang Zhang, Ying Liang, Xiangyun Wang, Zhengchang Su, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Detecting binding motifs of combinatorial transcription factors (TFs) from chromatin immunoprecipitation sequencing (ChIP-seq) experiments is an important and challenging computational problem for understanding gene regulations. Although a number of motif-finding algorithms have been presented, most are either time consuming or have sub-optimal accuracy for processing large-scale datasets. In this article, we present a fully parallelized algorithm for detecting combinatorial motifs from ChIP-seq datasets by using Fisher combined method and OpenMP parallel design. Large scale validations on both synthetic data and 350 ChIP-seq datasets from the ENCODE database showed that FisherMP has not only super speeds on large datasets, but also …


Enhancing Face Validity Of Mouse Models Of Alzheimer's Disease With Natural Genetic Variation., Kristen D Onos, Asli Uyar, Kelly J Keezer, Harriet M Jackson, Christoph Preuss, Casey J Acklin, Rita O'Rourke, Rebecca Buchanan, Travis L Cossette, Stacey J Sukoff Rizzo, Ileana Soto Reyes, Gregory W Carter, Gareth R Howell May 2019

Enhancing Face Validity Of Mouse Models Of Alzheimer's Disease With Natural Genetic Variation., Kristen D Onos, Asli Uyar, Kelly J Keezer, Harriet M Jackson, Christoph Preuss, Casey J Acklin, Rita O'Rourke, Rebecca Buchanan, Travis L Cossette, Stacey J Sukoff Rizzo, Ileana Soto Reyes, Gregory W Carter, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Classical laboratory strains show limited genetic diversity and do not harness natural genetic variation. Mouse models relevant to Alzheimer's disease (AD) have largely been developed using these classical laboratory strains, such as C57BL/6J (B6), and this has likely contributed to the failure of translation of findings from mice to the clinic. Therefore, here we test the potential for natural genetic variation to enhance the translatability of AD mouse models. Two widely used AD-relevant transgenes, APPswe and PS1de9 (APP/PS1), were backcrossed from B6 to three wild-derived strains CAST/EiJ, WSB/EiJ, PWK/PhJ, representative of three Mus musculus subspecies. These new AD strains were …