Search Tips

Metadata record for the manuscript: Targeting the Epichaperome As an Effective Precision Medicine Approach in a Novel PML-SYK Fusion Acute Myeloid Leukemia

UID: 10741

Author(s): Sugita, Mayumi, Wilkes, David C, Bareja, Rohan, Eng, Kenneth W., Nataraj, Sarah, Jimenez-Flores, Reyna A., Yan, LunBiao, De Leon, Jeanne Pauline, Croyle, Jaclyn A., Kaner, Justin, Merugu, Swathi*, Sharma, Sahil*, MacDonald, Theresa Y., Noorzad, Zohal, Panchal, Palak*, Pancirer, Danielle, Cheng, Shuhua, Xiang, Jenny Z., Olson, Luke, Van Besien, Koen, Rickman, David S., Mathew, Susan, Tam, Wayne, Rubin, Mark A., Beltran, Himisha, Sboner, Andrea, Hassane, Duane C., Chiosis, Gabriela*, Elemento, Olivier, Roboz, Gail J., Mosquera, Juan M., Guzman, Monica L. * MSK affiliated

Publisher(s): Weill Cornell Medicine

Description
Summary from figshare: "This metadata record provides details of the data supporting the claims of the related manuscript: “Targeting the Epichaperome As an Effective Precision Medicine Approach in a Novel PML-SYK Fusion Acute Myeloid Leukemia ”.

The related study aimed to prospectively identify patients likely to respond to epichaperome inhibitors to measure target engagement and dependency during treatment by developing a flow cytometry-based assay for evaluation and monitoring of epichaperome abundance at the single-cell level.

Subject of data: leukaemia cells from a patient with an unclassified myeloproliferative neoplasm harbouring a novel PML-SYK fusion that transformed to AML

Sample size: case report containing data from a single patient"
Subject of Study
Subject(s)
OncoTree Cancer Type(s)
Acute Myeloid Leukemia
Myeloproliferative Neoplasms
Myeloproliferative Neoplasms, Unclassifiable
Access via figshare

Data supporting the associated article

Access Restrictions
Free to All
Access Instructions
Images, files and tables are available to view and download on the figshare website.
DOI
10.6084/m9.figshare.13366430
Associated Publications
Data Type
Equipment Used
Illumina HiSeq 2500
Illumina HiSeq 4000
Dataset Format(s)
Microsoft Excel, Powerpoint Presentation, Plain Text, JPG, TIF
Dataset Size
306 MB
Data Catalog Record Updated
2021-07-22