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Full-Text Articles in Medicine and Health Sciences
Ecdysoneless Overexpression Drives Mammary Tumorigenesis Through Upregulation Of C-Myc And Glucose Metabolism, Bhopal C. Mohapatra, Sameer Mirza, Aditya Bele, Channabasavaiah B. Gurumurthy, Mohsin Raza, Irfana Saleem, Matthew D. Storck, Aniruddha Sarkar, Sai Sundeep Kollala, Surendra K. Shukla, Siddesh Southekal, Kay-Uwe Wagner, Fang Qiu, Subodh M. Lele, Mansour A. Alsaleem, Emad A. Rakha, Chittibabu Guda, Pankaj K. Singh, Robert D. Cardiff, Hamid Band, Vimla Band
Ecdysoneless Overexpression Drives Mammary Tumorigenesis Through Upregulation Of C-Myc And Glucose Metabolism, Bhopal C. Mohapatra, Sameer Mirza, Aditya Bele, Channabasavaiah B. Gurumurthy, Mohsin Raza, Irfana Saleem, Matthew D. Storck, Aniruddha Sarkar, Sai Sundeep Kollala, Surendra K. Shukla, Siddesh Southekal, Kay-Uwe Wagner, Fang Qiu, Subodh M. Lele, Mansour A. Alsaleem, Emad A. Rakha, Chittibabu Guda, Pankaj K. Singh, Robert D. Cardiff, Hamid Band, Vimla Band
Journal Articles: Pharmacology & Experimental Neuroscience
Ecdysoneless (ECD) protein is essential for embryogenesis, cell-cycle progression, and cellular stress mitigation with an emerging role in mRNA biogenesis. We have previously shown that ECD protein as well as its mRNA are overexpressed in breast cancer and ECD overexpression predicts shorter survival in patients with breast cancer. However, the genetic evidence for an oncogenic role of ECD has not been established. Here, we generated transgenic mice with mammary epithelium-targeted overexpression of an inducible human ECD transgene (ECDTg). Significantly, ECDTg mice develop mammary hyperplasia, preneoplastic lesions, and heterogeneous tumors with occasional lung metastasis. ECDTg tumors exhibit epithelial to mesenchymal transition …
Mintruls: Prediction Of Mirna-Mrna Target Site Interactions Using Regularized Least Square Method, Sushil Kumar Shakyawar, Siddesh Southekal, Chittibabu Guda
Mintruls: Prediction Of Mirna-Mrna Target Site Interactions Using Regularized Least Square Method, Sushil Kumar Shakyawar, Siddesh Southekal, Chittibabu Guda
Journal Articles: Genetics, Cell Biology & Anatomy
Identification of miRNA-mRNA interactions is critical to understand the new paradigms in gene regulation. Existing methods show suboptimal performance owing to inappropriate feature selection and limited integration of intuitive biological features of both miRNAs and mRNAs. The present regularized least square-based method, mintRULS, employs features of miRNAs and their target sites using pairwise similarity metrics based on free energy, sequence and repeat identities, and target site accessibility to predict miRNA-target site interactions. We hypothesized that miRNAs sharing similar structural and functional features are more likely to target the same mRNA, and conversely, mRNAs with similar features can be targeted by …