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Massively Parallel Interrogation of Anti-Viral and Anti-Cancer Immunity.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Massively Parallel Interrogation of Anti-Viral and Anti-Cancer Immunity./
作者:	Belk, Julia Ann.
面頁冊數:	1 online resource (197 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Contained By:	Dissertations Abstracts International84-04B.
標題:	Infections. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29408080click for full text (PQDT)
ISBN:	9798352648360

Massively Parallel Interrogation of Anti-Viral and Anti-Cancer Immunity.
Belk, Julia Ann.

Massively Parallel Interrogation of Anti-Viral and Anti-Cancer Immunity. - 1 online resource (197 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: B.

Thesis (Ph.D.)--Stanford University, 2022.

Includes bibliographical references

New genome-scale experimental methods and computational advances to extract insights from the resulting data deluge present a unique opportunity to jointly optimize experimental and computational tools to further our understanding of biology. In this thesis I present two vignettes of how the experiment-computation co-design methodology may be applied to two applications, (1) the SARS-CoV-2 pandemic and (2) cancer immunotherapy. In the first work, we identified human proteins that bind the SARS-CoV-2 viral RNA during infection and functionally characterized these proteins using targeted CRISPR/Cas9 screening (Flynn*, Belk* et al, Cell 2021). In the second work, we performed genome-wide CRISPR/Cas9 screens to systematically discover genetic regulators of T cell exhaustion, a key barrier to the efficacy of anti-cancer immunotherapies (Belk et al, Cancer Cell 2022). In vivo single cell transcriptomics paired with CRISPR perturbations (Perturb-seq) and unsupervised learning provide insights into how each perturbation exerts its function and suggests new cancer therapeutics. Experimental testing of a cell therapy based on these findings significantly prolonged survival in mice. In sum, these two examples highlight how experimental and algorithmic methodologies can be jointly optimized to minimize human labor, cost, and optionally other factors, while maximizing usable data output and informing the design of new therapeutics.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352648360Subjects--Topical Terms:

1621997
Infections.
Index Terms--Genre/Form:

542853
Electronic books.

Massively Parallel Interrogation of Anti-Viral and Anti-Cancer Immunity.
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502 $a Thesis (Ph.D.)--Stanford University, 2022.
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