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10 results on '"Ang, Chelston"'

1. Genome-wide cell-free DNA mutational integration enables ultra-sensitive cancer monitoring

Author

Zviran, Asaf, Schulman, Rafael C., Shah, Minita, Hill, Steven T. K., Deochand, Sunil, Khamnei, Cole C., Maloney, Dillon, Patel, Kristofer, Liao, Will, Widman, Adam J., Wong, Phillip, Callahan, Margaret K., Ha, Gavin, Reed, Sarah, Rotem, Denisse, Frederick, Dennie, Sharova, Tatyana, Miao, Benchun, Kim, Tommy, Gydush, Greg, Rhoades, Justin, Huang, Kevin Y., Omans, Nathaniel D., Bolan, Patrick O., Lipsky, Andrew H., Ang, Chelston, Malbari, Murtaza, Spinelli, Catherine F., Kazancioglu, Selena, Runnels, Alexi M., Fennessey, Samantha, Stolte, Christian, Gaiti, Federico, Inghirami, Giorgio G., Adalsteinsson, Viktor, Houck-Loomis, Brian, Ishii, Jennifer, Wolchok, Jedd D., Boland, Genevieve, Robine, Nicolas, Altorki, Nasser K., and Landau, Dan A.

Published
2020
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2. DNA methylation disruption reshapes the hematopoietic differentiation landscape

Author

Izzo, Franco, Lee, Stanley C., Poran, Asaf, Chaligne, Ronan, Gaiti, Federico, Gross, Baptiste, Murali, Rekha R., Deochand, Sunil D., Ang, Chelston, Jones, Philippa Wyndham, Nam, Anna S., Kim, Kyu-Tae, Kothen-Hill, Steven, Schulman, Rafael C., Ki, Michelle, Lhoumaud, Priscillia, Skok, Jane A., Viny, Aaron D., Levine, Ross L., Kenigsberg, Ephraim, Abdel-Wahab, Omar, and Landau, Dan A.

Published
2020
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3. Somatic mutations and cell identity linked by Genotyping of Transcriptomes

Author

Nam, Anna S., Kim, Kyu-Tae, Chaligne, Ronan, Izzo, Franco, Ang, Chelston, Taylor, Justin, Myers, Robert M., Abu-Zeinah, Ghaith, Brand, Ryan, Omans, Nathaniel D., Alonso, Alicia, Sheridan, Caroline, Mariani, Marisa, Dai, Xiaoguang, Harrington, Eoghan, Pastore, Alessandro, Cubillos-Ruiz, Juan R., Tam, Wayne, Hoffman, Ronald, Rabadan, Raul, Scandura, Joseph M., Abdel-Wahab, Omar, Smibert, Peter, and Landau, Dan A.

Published
2019
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4. Single-Cell Multi-Omics Reveals Distinct Paths to Survival of Admixed BTKC481 Mutant Vs. Wild-Type Cells in Clinically Progressing Chronic Lymphocytic Leukemia

Author

Lipsky, Andrew, Luan, Danny, Chen, Shirley, Chaligne, Ronan, Dusaj, Neville, Bhavsar, Erica B, Ang, Chelston, Nam, Anna S, Gaiti, Federico, Chamely, Paulina, Omans, Nathaniel D., Trisal, Preeti, Gandhi, Anita K, Kim, Kyu-Tae, Schulman, Rafael, Schiffman, Joshua S., Izzo, Franco, Mullokandov, Gregory, Underbayev, Chingiz, Wiestner, Adrian, Allan, John N., Furman, Richard R., and Landau, Dan A.

Published
2020
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7. An Open-Source Three-Dimensionally Printed Laryngeal Model for Injection Laryngoplasty Training.

Author

Lee, Mark, Ang, Chelston, Andreadis, Katerina, Shin, James, and Rameau, Anaïs

Abstract

Objectives/hypothesis: A limited number of three-dimensionally (3D)-printed laryngeal simulators have been described in the literature, only one of which is specifically designed for percutaneous injection laryngoplasty (PIL) training and is currently of limited availability. This study describes the development and evaluation of a high-fidelity, open-source, low-cost 3D-printed simulator for PIL training, improving on existing models.Study Design: Simulator design and survey evaluation.Methods: Computed tomography scans of the upper airways were processed with 3D Slicer to generate a computer model of the endolarynx. Blender and Fusion 360 were used to refine the mucosal model and develop casts for silicone injection molding. The casted endolaryngeal structures were inserted into a modified version of a publicly available laryngeal cartilage model. The final models were evaluated by 10 expert laryngologists using a customized version of the Michigan Standard Simulation Experience Scale. Internal consistency and interrater reliability of the survey were evaluated using Cronbach's α and intraclass correlation, respectively.Results: Expert laryngologists highly rated the model for measures of fidelity, educational value, and overall quality (mean = 4.8, standard deviation = 0.5; 1 = strongly disagree, 5 = strongly agree). All reviewers rated the model as ready for use as is or with slight modifications. The filament needed for one cartilage model costs $0.96, whereas the silicone needed for one soft-tissue model costs $1.89.Conclusions: Using 3D-printing technology, we successfully created the first open-source, low-cost, and anatomically accurate laryngeal model for injection laryngoplasty training. Our simulator is made freely available for download on Wikifactory with step-by-step tutorials for 3D printing, silicone molding, assembly, and use.Level Of Evidence: NA Laryngoscope, 131:E890-E895, 2021. [ABSTRACT FROM AUTHOR]

Published
2021
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8. High Throughput Droplet Single-Cell Genotyping of Transcriptomes (GoT) Reveals the Cell Identity Dependency of the Transcriptional Output of Somatic Mutations

Author

Nam, Anna S, primary, Kim, Kyu-Tae, additional, Chaligne, Ronan, additional, Izzo, Franco, additional, Ang, Chelston, additional, Omans, Nathaniel, additional, Pastore, Alessandro, additional, Taylor, Justin, additional, Alonso, Alicia, additional, Tam, Wayne, additional, Hoffman, Ronald, additional, Scandura, Joseph, additional, Rabadan, Raul, additional, Abdel-Wahab, Omar I, additional, Smibert, Peter, additional, and Landau, Dan A., additional

Published
2018
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9. High throughput droplet single-cell Genotyping of Transcriptomes (GoT) reveals the cell identity dependency of the impact of somatic mutations

Author

Nam, Anna S., primary, Kim, Kyu-Tae, additional, Chaligne, Ronan, additional, Izzo, Franco, additional, Ang, Chelston, additional, Abu-Zeinah, Ghaith, additional, Omans, Nathaniel D., additional, Taylor, Justin, additional, Pastore, Alessandro, additional, Alonso, Alicia, additional, Mariani, Marisa, additional, Cubillos-Ruiz, Juan R., additional, Tam, Wayne, additional, Hoffman, Ronald, additional, Scandura, Joseph M., additional, Rabadan, Raul, additional, Abdel-Wahab, Omar, additional, Smibert, Peter, additional, and Landau, Dan A., additional

Published
2018
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10. Single-Cell Multi-Omics Reveals Distinct Paths to Survival of Admixed BTKC481Mutant Vs. Wild-Type Cells in Clinically Progressing Chronic Lymphocytic Leukemia

Author

Lipsky, Andrew, Luan, Danny, Chen, Shirley, Chaligne, Ronan, Dusaj, Neville, Bhavsar, Erica B, Ang, Chelston, Nam, Anna S, Gaiti, Federico, Chamely, Paulina, Omans, Nathaniel D., Trisal, Preeti, Gandhi, Anita K, Kim, Kyu-Tae, Schulman, Rafael, Schiffman, Joshua S., Izzo, Franco, Mullokandov, Gregory, Underbayev, Chingiz, Wiestner, Adrian, Allan, John N., Furman, Richard R., and Landau, Dan A.

Abstract

Mutations in the kinase binding domain of BTK at position C481 are associated with resistance to BTK inhibitor (BTKi) therapy in chronic lymphocytic leukemia (CLL). Nearly half of patients manifesting clinical progression with these alterations exhibit a subclonal burden of resistance. Intriguingly, measured BTKC481variant allelic fractions (VAF) are commonly lower than 10% [Ahn et al,Blood 2017]. This raises the important question of how BTKC481-mutated (MUT) and wildtype (WT) cells differ in their response to therapeutic challenge, and how low-burden MUT subclones facilitate escape from therapy.

Published
2020
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