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

Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments

TL;DR: A community of researchers working in the emerging field of single-cell proteomics propose best-practice experimental and computational recommendations and reporting guidelines for studies analyzing proteins from single cells by mass spectrometry as mentioned in this paper .
Patent

Biomarkers of brain injury

TL;DR: In this article, a method for diagnosing subclinical brain injury (SCI) in a patient is presented, which comprises (a) collecting a sample from the patient; (b) measuring the levels of a panel of biomarkers; and (c) comparing these levels with predefined levels of the same biomarkers that correlate to a patient having SCI, and (d) determining whether a correlation to one of the predicted levels provides the diagnosis.
Journal ArticleDOI

Acute neuropathological consequences of short-term mechanical ventilation in wild-type and Alzheimer’s disease mice

TL;DR: These results provide the first evidence that short-term mechanical ventilation independently promotes the neuropathology of Alzheimer's disease in subjects with and without pre-existing cerebral Alzheimer’s disease pathology.
Journal ArticleDOI

Highlights of the Biology and Disease-driven Human Proteome Project, 2015-2016.

TL;DR: The B/D-HPP groups are working to define sets of protein targets that are highly relevant to each particular field to deliver relevant assays for the measurement of these selected targets and to disseminate and make publicly accessible the information and tools generated.
Journal ArticleDOI

Identifying High-Priority Proteins Across the Human Diseasome Using Semantic Similarity.

TL;DR: A method to identify and rank protein-topic relationships by calculating the semantic similarity between a protein and a query term in the biomerical literature while adjusting for the impact and immediacy of associated research articles is described.