Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ian C. McDowell"'
Autor:
Graham D. Johnson, Alejandro Barrera, Ian C. McDowell, Anthony M. D’Ippolito, William H. Majoros, Christopher M. Vockley, Xingyan Wang, Andrew S. Allen, Timothy E. Reddy
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Quantification of genomic responses to environmental stimuli by current genome-scale assays is limited to indirect measurements or requires knowledge of the transcription factors involved. Here, the authors use genome-wide high-throughput reporter as
Externí odkaz:
https://doaj.org/article/837311a1c18142aab64920fc7e8ddb75
Autor:
Cong Guo, Ian C. McDowell, Michael Nodzenski, Denise M. Scholtens, Andrew S. Allen, William L. Lowe, Timothy E. Reddy
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-9 (2017)
Abstract Background Transversions (Tv’s) are more likely to alter the amino acid sequence of proteins than transitions (Ts’s), and local deviations in the Ts:Tv ratio are indicative of evolutionary selection on genes. Whether the two different ty
Externí odkaz:
https://doaj.org/article/56c983a846da44088ca5fc6b8e619625
Autor:
Rhianna E. Lee, Ian C. McDowell, Scott H. Randell, Nikita Dalal, Ami M. Kabadi, Leah Machlin, Timothy E. Reddy, Nirav N. Shah, Lauren Drowley
Publikováno v:
J Cyst Fibros
Background Mechanisms governing the diversity of CFTR gene expression throughout the body are complex. Multiple intronic and distal regulatory elements are responsible for regulating differential CFTR expression across tissues. Methods Drawing on pub
Publikováno v:
Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications.
Autor:
Deng Xl, Kris C. Wood, Timothy E. Reddy, Christopher V. Nicchitta, Qiang Chen, Luke C. Bartelt, Alejandro Barrera, Sheng J, Ian C. McDowell, Jiaxing Lin, Sutiman N, Ang Hx
SUMMARYEvidence has long suggested that epidermal growth factor receptor (EGFR) may play a prominent role in triple-negative breast cancer (TNBC) pathogenesis, but clinical trials of EGFR inhibitors have yielded disappointing results. Using a candida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788003450af37c0086b7a229a083c852
https://doi.org/10.1101/2021.03.03.433762
https://doi.org/10.1101/2021.03.03.433762
Autor:
Sarah M. Leichter, William H. Majoros, Alejandro Barrera, Christopher M. Vockley, D. Dewran Kocak, Alexias Safi, Gregory E. Crawford, Barbara E. Engelhardt, Anthony D'Ippolito, Timothy E. Reddy, Alexander J. Hartemink, Lingyun Song, Charles A. Gersbach, Luke C. Bartelt, Ian C. McDowell, Linda K. Hong
Publikováno v:
Genome Research. 28:1272-1284
Glucocorticoids are potent steroid hormones that regulate immunity and metabolism by activating the transcription factor (TF) activity of glucocorticoid receptor (GR). Previous models have proposed that DNA binding motifs and sites of chromatin acces
Autor:
Ian C. McDowell, J. Brent Richards, Diane Brisson, Catherine Allard, Michael Nodzenski, Lynn P. Lowe, M. Geoffrey Hayes, Marie-France Hivert, Timothy E. Reddy, Luigi Bouchard, Denise M. Scholtens, Zari Dastani, William L. Lowe
Publikováno v:
Obesity. 25:935-944
OBJECTIVE This study investigated genetic determinants of adiponectin during pregnancy to reveal novel biology of adipocyte regulation. METHODS A genome-wide association study was conducted in 1,322 pregnant women from the Hyperglycemia and Adverse P
Autor:
Ian C. McDowell, Sarah M. Leichter, Alejandro Barrera, Jonathan Lu, Timothy E. Reddy, Brian Jo, Barbara E. Engelhardt, Bianca Dumitrascu, Linda K. Hong
Gene regulatory network inference is essential to uncover complex relationships among gene pathways and inform downstream experiments, ultimately paving the way for regulatory network re-engineering. Network inference from transcriptional time series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1940600ac8d1e0ac38a52618d1470d7f
Autor:
Christopher M. Vockley, Andrew S. Allen, Anthony D'Ippolito, Timothy E. Reddy, Ian C. McDowell, Alejandro Barrera, William H. Majoros, Xingyan Wang, Graham Johnson
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Nature Communications
Nature Communications
Environmental stimuli commonly act via changes in gene regulation. Human-genome-scale assays to measure such responses are indirect or require knowledge of the transcription factors (TFs) involved. Here, we present the use of human genome-wide high-t
Autor:
Barbara E. Engelhardt, Bianca Dumitrascu, Sarah M. Leichter, Jonathan Lu, Ian C. McDowell, Linda K. Hong, Alejandro Barrera, Timothy E. Reddy, Brian Jo
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 1, p e1008223 (2021)
PLoS Computational Biology, Vol 17, Iss 1, p e1008223 (2021)
Gene regulatory network inference is essential to uncover complex relationships among gene pathways and inform downstream experiments, ultimately enabling regulatory network re-engineering. Network inference from transcriptional time-series data requ