Výsledky vyhledávání

Abstract 2506: Simultaneous DNA, RNA and protein analysis from single cells using a high-throughput microfluidic workflow for resolution of genotype-to-phenotype modalities

Autor: Shu Wang, Pedro Mendez, Nigel Beard, Anders Ståhlberg, David Ruff, Göran Landberg, Saurabh Gulati, Manimozhi Manivannan, Mikael Kubista, Aik Ooi, Dalia Dhingra, Jens Björkman

Publikováno v: Cancer Research. 80:2506-2506

The TCGA, ICGC and other research consortiums has shown that an integral, multi-omic analysis of tumors is necessary in order to understand a more complete picture of the signaling pathways involved in development, evolution, prognosis and treatment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dff835c3c8d8983c1e737cc691875ca
https://doi.org/10.1158/1538-7445.am2020-2506

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Abstract 5910: Single-cell multiomic analysis of SNV, CNV, and protein expression

Autor: David Ruff, Pedro Mendez, Aik Ooi, Nigel Beard, Dalia Dhingra

Publikováno v: Cancer Research. 80:5910-5910

Recent advancements in precision medicine, while highly promising, presents a major technical challenge to researchers due to disease heterogeneity. The emergence of single-cell technologies has greatly refined the resolution in which sample diversit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::948d9337496df10f361e4524d7eb2cee
https://doi.org/10.1158/1538-7445.am2020-5910

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Abstract 2109: Amplicon design algorithm for single cell targeted DNA sequencing using machine learning

Autor: Dong Kim, Nigel Beard, Sombeet Sahu, Saurabh Gulati, Saurabh Parikh, Nianzhen Li, Manimozhi Manivannan, Shu Wang

Publikováno v: Cancer Research. 80:2109-2109

Background: To realize the promise of precision medicine for cancer, assessing genetic variation present in rare cells and understanding the role that these cells play in the evolution of tumor progression is essential. High throughput single cell DN

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9569b0d1a417996d5f4406238ef12778
https://doi.org/10.1158/1538-7445.am2020-2109

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Abstract 861: Improvements in variant calling sensitivity and specificity in single-cell DNA sequencing using deep learning

Autor: Saurabh Parikh, Saurabh Gulati, Nigel Beard, Kim Dong, Shu Wang, Sombeet Sahu, Anup Parikh, Manimozhi Manivannan

Publikováno v: Cancer Research. 80:861-861

Background: It is now possible to interrogate thousands of cells in a single experiment for studying genetic variability with the advancements in single-cell sequencing technologies. Single-cell DNA platforms like Tapestri is still susceptible to err

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77abc031389699afd13b3685f3eaad69
https://doi.org/10.1158/1538-7445.am2020-861

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High-Throughput Single-Cell Targeted DNA Sequencing for Hematologic Cancers Using Droplet-Based Microfluidic Platform

Autor: Jacob Ho, Adam Sciambi, Nigel Beard, Benchun Liu, Saurabh Gulati, Kaustubh Gokhale, Jacqueline Marin, Nianzhen Li, Mani Manivannan, Sombeet Sahu, Keith W. Jones, Charles Curt, Florencia Carrerou, Lubna Nousheen, Daniel Mendoza, Kathryn Thompson, Shu Wang, Steven Chow

Publikováno v: Clinical Lymphoma Myeloma and Leukemia. 19:S221

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d06165dd7fd2b7d504a7b0870205fa37
https://doi.org/10.1016/j.clml.2019.07.096

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