scispace - formally typeset
J

Jennifer E. Van Eyk

Researcher at Cedars-Sinai Medical Center

Publications -  461
Citations -  25039

Jennifer E. Van Eyk is an academic researcher from Cedars-Sinai Medical Center. The author has contributed to research in topics: Medicine & Proteome. The author has an hindex of 77, co-authored 412 publications receiving 20853 citations. Previous affiliations of Jennifer E. Van Eyk include Johns Hopkins University School of Medicine & University of British Columbia.

Papers
More filters
Journal ArticleDOI

Cosbin: cosine score-based iterative normalization of biologically diverse samples

TL;DR: An efficient and accurate data-driven method—Cosine score based iterative normalization (Cosbin) - to normalize biologically diverse samples and will allow biologists to more accurately detect true molecular signals among diverse phenotypic groups.
Journal ArticleDOI

High-Throughput Single-Cell Proteomic Analysis of Organ-Derived Heterogeneous Cell Populations by Nanoflow Dual-Trap Single-Column Liquid Chromatography.

TL;DR: In this article , a parallelized nanoflow dual-trap single-column liquid chromatography (nanoDTSC) was used to identify and proteomic characterization of rare cell types within complex organ-derived cell mixtures.
Journal ArticleDOI

A Systems Biology Approach to Restrictive Cardiomyopathy in Drosophila

TL;DR: Proteomic, structural and ultrastructural data are consistent with a model whereby the elevated ATPase activity caused by Mhc5 mutation increases energetic demand, thereby stimulating a concerted compensatory metabolic response to maintain energetic homeostasis.
Journal Article

Abstract 11612: Serial Changes in Specific Biomarkers Reflect Cardiac Resynchronization Therapy Response: Results From the SMART-AV Trial

TL;DR: It is identified that time dependent changes in a specific biomarker signature occur early in those patients likely to respond favorably to CRT, and as such, may be of potential utility for point of care testing and integration into the CRT evaluation algorithm.
Posted ContentDOI

Predominance of Distinct Autoantibodies in Response to SARS-CoV-2 Infection

TL;DR: In this paper, the prevalence of autoantibodies triggered by SARS-CoV2 infection was determined in a large-scale discovery screening study, and the authors found that 90% of the positive individuals demonstrated reactivity to at least one auto-antibody, even with mild-to-moderate or no symptoms during their illness.