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Biochemistry, Biophysics, and Structural Biology Commons

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Articles 1 - 4 of 4

Full-Text Articles in Biochemistry, Biophysics, and Structural Biology

Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully Apc Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins Jun 2018

Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully Apc Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins

Arshad M. Khan, Ph.D.

This article, which includes novel unpublished data along with commentary and analysis,
focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined from
brain tissue to the original locations within the brain that they are derived from using digital atlas
mapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomic
analyses conducted in the mammalian hypothalamus. Following a brief historical overview, we
highlight studies that have mined biochemical and molecular information from the hypothalamus
and then lay out a strategy for how these data can be linked spatially to the mapped locations in a
canonical brain atlas ...


Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do Jan 2012

Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do

Jeffrey S. Morris

Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease. Current integration approaches that treat the data are limited in that they do not consider the fundamental biological relationships that exist among the data from platforms.

Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for identifying important genes/biomarkers that are associated with clinical outcome. This framework uses a hierarchical modeling technique to combine the data obtained from multiple ...


Genomic Methods For Studying The Post-Translational Regulation Of Transcription Factors, Logan J. Everett Aug 2010

Genomic Methods For Studying The Post-Translational Regulation Of Transcription Factors, Logan J. Everett

Publicly Accessible Penn Dissertations

The spatiotemporal coordination of gene expression is a fundamental process in cellular biology. Gene expression is regulated, in large part, by sequence-specific transcription factors that bind to DNA regions in the proximity of each target gene. Transcription factor activity and specificity are, in turn, regulated post-translationally by protein-modifying enzymes. High-throughput methods exist to probe specific steps of this process, such as protein-protein and protein-DNA interactions, but few computational tools exist to integrate this information in a principled, model-oriented manner. In this work, I develop several computational tools for studying the functional implications of transcription factor modification. I establish the first ...


Growth Hormone Alters Components Related To Differentiation, Metabolism And Milk Synthesis And Secretion In Mac-T Cells, Tasha Lynn Johnson Jun 2010

Growth Hormone Alters Components Related To Differentiation, Metabolism And Milk Synthesis And Secretion In Mac-T Cells, Tasha Lynn Johnson

Master's Theses and Project Reports

The mammary alveolar cell-T (MAC-T) cell line is able to uniformly differentiate and secrete casein proteins in response to dexamethasone, insulin and prolactin and is extensively used to study bovine mammary epithelial cell function. Growth hormone (GH) has been shown to increase milk protein synthesis both in vivo and in mammary cell models, and induce cytoskeletal rearrangement in 3T3 fibroblast cell line and a Chinese hamster ovary (CHO) cell line. Few studies have focused on identifying the mechanisms involved in differentiated MAC-T cells’ response to GH. We tested the hypothesis that MAC-T cells would respond directly to GH and that ...