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Full-Text Articles in Life Sciences
A Physical Sciences Network Characterization Of Non-Tumorigenic And Metastatic Cells, Abigail Hielscher, D. Wirtz, Et Al.
A Physical Sciences Network Characterization Of Non-Tumorigenic And Metastatic Cells, Abigail Hielscher, D. Wirtz, Et Al.
PCOM Scholarly Papers
To investigate the transition from non-cancerous to metastatic from a physical sciences perspective, the Physical Sciences-Oncology Centers (PS-OC) Network performed molecular and biophysical comparative studies of the non-tumorigenic MCF-10A and metastatic MDA-MB-231 breast epithelial cell lines, commonly used as models of cancer metastasis. Experiments were performed in 20 laboratories from 12 PS-OCs. Each laboratory was supplied with identical aliquots and common reagents and culture protocols. Analyses of these measurements revealed dramatic differences in their mechanics, migration, adhesion, oxygen response, and proteomic profiles. Model-based multi-omics approaches identified key differences between these cells' regulatory networks involved in morphology and survival. These results …
Genome-Wide Expression Analysis In Down Syndrome: Insight Into Immunodeficiency, Chong Li, Lei Jin, Yun Bai, Qimin Chen, Lijun Fu, Minjun Yang, Huasheng Xiao, Guoping Zhao, Shengyue Wang
Genome-Wide Expression Analysis In Down Syndrome: Insight Into Immunodeficiency, Chong Li, Lei Jin, Yun Bai, Qimin Chen, Lijun Fu, Minjun Yang, Huasheng Xiao, Guoping Zhao, Shengyue Wang
PCOM Scholarly Papers
Down syndrome (DS) is caused by triplication of Human chromosome 21 (Hsa21) and associated with an array of deleterious phenotypes, including mental retardation, heart defects and immunodeficiency. Genome-wide expression patterns of uncultured peripheral blood cells are useful to understanding of DS-associated immune dysfunction. We used a Human Exon microarray to characterize gene expression in uncultured peripheral blood cells derived from DS individuals and age-matched controls from two age groups: neonate (N) and child (C). A total of 174 transcript clusters (gene-level) with eight located on Hsa21 in N group and 383 transcript clusters including 56 on Hsa21 in C group …
Help3 Directly Modulates The Expression Of Hsp70 Gene In Hela Cells Via Hat Activity, Fen Li, Jixian Ma, Yu Ma, Yanyan Hu, Shuhuan Tian, Richard E. White, Guichun Han
Help3 Directly Modulates The Expression Of Hsp70 Gene In Hela Cells Via Hat Activity, Fen Li, Jixian Ma, Yu Ma, Yanyan Hu, Shuhuan Tian, Richard E. White, Guichun Han
PCOM Scholarly Papers
Human Elongator complex, which plays a key role in transcript elongation in vitro assay, is incredibly similar in either components or function to its yeast counterpart. However, there are only a few studies focusing on its target gene characterization in vivo. We studied the effect of down-regulation of the human elongation protein 3 (hELP3) on the expression of HSP70 through antisense strategy. Transfecting antisense plasmid p1107 into HeLa cells highly suppressed hELP3 expression, and substantially reduced expression of HSP70 mRNA and protein. Furthermore, chromatin immunoprecipitation assay (ChIP Assay) revealed that hElp3 participates in the transcription elongation of HSPA1A in HeLa …
Improving Gene Expression Data Interpretation By Finding Latent Factors That Co-Regulate Gene Modules With Clinical Factors, Tianwei Yu, Yun Bai
Improving Gene Expression Data Interpretation By Finding Latent Factors That Co-Regulate Gene Modules With Clinical Factors, Tianwei Yu, Yun Bai
PCOM Scholarly Papers
Background: In the analysis of high-throughput data with a clinical outcome, researchers mostly focus on genes/proteins that show first-order relations with the clinical outcome. While this approach yields biomarkers and biological mechanisms that are easily interpretable, it may miss information that is important to the understanding of disease mechanism and/or treatment response. Here we test the hypothesis that unobserved factors can be mobilized by the living system to coordinate the response to the clinical factors.Results: We developed a computational method named Guided Latent Factor Discovery (GLFD) to identify hidden factors that act in combination with the observed clinical factors to …
Capturing Changes In Gene Expression Dynamics By Gene Set Differential Coordination Analysis, Tianwei Yu, Yun Bai
Capturing Changes In Gene Expression Dynamics By Gene Set Differential Coordination Analysis, Tianwei Yu, Yun Bai
PCOM Scholarly Papers
Analyzing gene expression data at the gene set level greatly improves feature extraction and data interpretation. Currently most efforts in gene set analysis are focused on differential expression analysis - finding gene sets whose genes show first-order relationship with the clinical outcome. However the regulation of the biological system is complex, and much of the change in gene expression dynamics do not manifest in the form of differential expression. At the gene set level, capturing the change in expression dynamics is difficult due to the complexity and heterogeneity of the gene sets. Here we report a systematic approach to detect …
Jmjd2a Is A Novel N-Cor-Interacting Protein And Is Involved In Repression Of The Human Transcription Factor Achaete Scute-Like Homologue 2 (Ascl2/Hash2), Dianzheng Zhang, Hoguen Yoon, Jiemin Wong
Jmjd2a Is A Novel N-Cor-Interacting Protein And Is Involved In Repression Of The Human Transcription Factor Achaete Scute-Like Homologue 2 (Ascl2/Hash2), Dianzheng Zhang, Hoguen Yoon, Jiemin Wong
PCOM Scholarly Papers
Corepressor N-CoR (nuclear receptor corepressor) and the highly related protein SMRT (silencing mediator of retinoid and thyroid hormone receptor) play important roles in different biological processes including proliferation, differentiation, and development. Understanding the biological function of these corepressors requires identification and characterization of their interacting proteins. Here we report the characterization of a novel N-CoR-interacting protein, JMJD2A (previously known as KIAA0677). JMJD2A is an evolutionarily conserved nuclear protein containing many functionally unknown domains. JMJD2A directly interacts with the N-terminal region of N-CoR through a small NID (N-CoR interaction domain) both in vitro and in vivo. Despite its copurification with N-CoR, …