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Andre E. Nel

Researcher at University of California, Los Angeles

Publications -  423
Citations -  62202

Andre E. Nel is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Biology & Paleontology. The author has an hindex of 105, co-authored 325 publications receiving 56090 citations. Previous affiliations of Andre E. Nel include Stellenbosch University & University of California, Berkeley.

Papers
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Journal ArticleDOI

The impact of air pollutants as an adjuvant for allergic sensitization and asthma.

Loida Viera, +3 more
- 24 Jul 2009 - 
TL;DR: It is proposed that the link between PM exposure and proallergic effects involves organic PM components that generate oxygen radicals capable of perturbing the redox equilibrium mucosal immune cells.
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Feasibility of biomarker studies for engineered nanoparticles: what can be learned from air pollution research.

Ning Li, +1 more
- 01 Jun 2011 - 
TL;DR: Although NP may have novel mechanisms of injury, much can be learned from the experience in studying UFP, and one of the most effective approaches for such studies may be proteome profiling.
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Adjuvant Effects of Ambient Particulate Matter Monitored by Proteomics of Bronchoalveolar Lavage Fluid

Xuedong Kang, +8 more
- 01 Feb 2010 - 
TL;DR: These proteins may be the important specific elements targeted by PM in air pollution through the ability to generate ROS in the immune system, and may be involved in allergen sensitization and asthma pathogenesis.
Journal Article

Phorbol ester induces tyrosine phosphorylation in normal and abnormal human B lymphocytes.

Andre E. Nel, +6 more
- 01 Nov 1985 - 
TL;DR: Enhanced tyrosine phosphorylation was succeeded or accompanied in both normal and abnormal B cells by cellular activation, as judged by increased [3H]thymidine uptake, and terminal differentiation of CLL cells.
Journal ArticleDOI

Association rule mining of cellular responses induced by metal and metal oxide nanoparticles

Rong Liu, +7 more
- 03 Feb 2014 - 
TL;DR: The present approach of using association rule mining for data-driven hypothesis generation has important implications for streamlining multi-parameter HTS assays, improving the understanding of NP toxicity mechanisms, and selection of endpoints for the development of nanomaterial structure-activity relationships.