Search Results - "Theodoris, Christina V."

Human Disease Modeling Reveals Integrated Transcriptional and Epigenetic Mechanisms of NOTCH1 Haploinsufficiency by Theodoris, Christina V., Li, Molong, White, Mark P., Liu, Lei, He, Daniel, Pollard, Katherine S., Bruneau, Benoit G., Srivastava, Deepak

“…The mechanisms by which transcription factor haploinsufficiency alters the epigenetic and transcriptional landscape in human cells to cause disease are…”
Get full text

Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease by Theodoris, Christina V, Zhou, Ping, Liu, Lei, Zhang, Yu, Nishino, Tomohiro, Huang, Yu, Kostina, Aleksandra, Ranade, Sanjeev S, Gifford, Casey A, Uspenskiy, Vladimir, Malashicheva, Anna, Ding, Sheng, Srivastava, Deepak

“…Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease…”
Get full text

Learning the language of DNA by Theodoris, Christina V.

“…A genomic foundation model broadly enables sequence modeling, prediction, and design With a vocabulary of just four nucleotides, the language of DNA encodes…”
Get full text

The ACVR1 R206H mutation found in fibrodysplasia ossificans progressiva increases human induced pluripotent stem cell-derived endothelial cell formation and collagen production through BMP-mediated SMAD1/5/8 signaling by Barruet, Emilie, Morales, Blanca M, Lwin, Wint, White, Mark P, Theodoris, Christina V, Kim, Hannah, Urrutia, Ashley, Wong, Sarah Anne, Srivastava, Deepak, Hsiao, Edward C

“…The Activin A and bone morphogenetic protein (BMP) pathways are critical regulators of the immune system and of bone formation. Inappropriate activation of…”
Get full text

Transfer learning enables predictions in network biology by Theodoris, Christina V., Xiao, Ling, Chopra, Anant, Chaffin, Mark D., Al Sayed, Zeina R., Hill, Matthew C., Mantineo, Helene, Brydon, Elizabeth M., Zeng, Zexian, Liu, X. Shirley, Ellinor, Patrick T.

“…Mapping gene networks requires large amounts of transcriptomic data to learn the connections between genes, which impedes discoveries in settings with limited…”
Get full text

MIRA: joint regulatory modeling of multimodal expression and chromatin accessibility in single cells by Lynch, Allen W., Theodoris, Christina V., Long, Henry W., Brown, Myles, Liu, X. Shirley, Meyer, Clifford A.

“…Rigorously comparing gene expression and chromatin accessibility in the same single cells could illuminate the logic of how coupling or decoupling of these…”
Get full text

Long telomeres protect against age-dependent cardiac disease caused by NOTCH1 haploinsufficiency by Theodoris, Christina V, Mourkioti, Foteini, Huang, Yu, Ranade, Sanjeev S, Liu, Lei, Blau, Helen M, Srivastava, Deepak

“…Diseases caused by gene haploinsufficiency in humans commonly lack a phenotype in mice that are heterozygous for the orthologous factor, impeding the study of…”
Get full text

Interpretable model of CRISPR-Cas9 enzymatic reactions by Wen, David J, Theodoris, Christina V

Get full text

Race, Ethnicity, and Ancestry in Clinical Pathways: A Framework for Evaluation by Rosen, Robert H., Epee-Bounya, Alexandra, Curran, Dorothy, Chung, Sarita, Hoffmann, Robert, Lee, Lois K., Marcus, Carolyn, Mateo, Camila M., Miller, Jason E., Nereim, Cameron, Silberholz, Elizabeth, Shah, Snehal N., Theodoris, Christina V., Wardell, Hanna, Winn, Ariel S., Toomey, Sara, Finkelstein, Jonathan A., Ward, Valerie L., Starmer, Amy

“…Clinical algorithms, or “pathways,” promote the delivery of medical care that is consistent and equitable. Race, ethnicity, and/or ancestry terms are sometimes…”
Get full text

NOTCH1 regulates matrix gla protein and calcification gene networks in human valve endothelium by White, Mark P, Theodoris, Christina V, Liu, Lei, Collins, William J, Blue, Kathleen W, Lee, Joon Ho, Meng, Xianzhong, Robbins, Robert C, Ivey, Kathryn N, Srivastava, Deepak

“…Abstract Valvular and vascular calcification are common causes of cardiovascular morbidity and mortality. Developing effective treatments requires…”
Get full text

Machine-learning model makes predictions about network biology

Get full text

Long telomeres protect against age-dependent cardiac disease caused by NOTCH1 haploinsufficiency by Theodoris, Christina V, Mourkioti, Foteini, Huang, Yu, Ranade, Sanjeev S, Liu, Lei, Blau, Helen M, Srivastava, Deepak

“…Diseases caused by gene haploinsufficiency in humans commonly lack a phenotype in mice that are heterozygous for the orthologous factor, impeding the study of…”
Get full text

Abstract 18010: Induced Pluripotent Stem Cell-Based Modeling of Human NOTCH1 Mutations Reveals Novel Pathways Regulating Aortic Valve Disease by Theodoris, Christina V, White, Mark P, Li, Molong, Liu, Lei, He, Daniel, Pollard, Katherine S, Bruneau, Benoit G, Srivastava, Deepak

“…Abstract only In humans, NOTCH1 mutations result in congenital heart defects including valve malformations and severe valve calcification in adults. Valve…”
Get full text

The Role of NOTCH1 Haploinsufficiency in Calcific Aortic Valve Disease by Theodoris, Christina V

“…The mechanisms by which transcription factor haploinsufficiency alters the epigenetic and transcriptional landscape in human cells to cause disease are…”
Get full text

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities by Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay, Gupta, Ankit, Zhang, Xikun, Roed, Marcel, Alexandrov, Theo, AlQuraishi, Mohammed, Brennan, Patricia, Burkhardt, Daniel B, Califano, Andrea, Cool, Jonah, Dernburg, Abby F, Ewing, Kirsty, Fox, Emily B, Haury, Matthias, Herr, Amy E, Horvitz, Eric, Hsu, Patrick D, Jain, Viren, Johnson, Gregory R, Kalil, Thomas, Kelley, David R, Kelley, Shana O, Kreshuk, Anna, Mitchison, Tim, Otte, Stephani, Shendure, Jay, Sofroniew, Nicholas J, Theis, Fabian, Theodoris, Christina V, Upadhyayula, Srigokul, Valer, Marc, Wang, Bo, Xing, Eric, Yeung-Levy, Serena, Zitnik, Marinka, Karaletsos, Theofanis, Regev, Aviv, Lundberg, Emma, Leskovec, Jure, Quake, Stephen R

“…The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding…”
Get full text