Sarah's dissertation applied multiple approaches to identifying genetic and environmental pathways to sensitivity of emotional systems.
Here, we applied multiple approaches to optimize the potency and selectivity of our reported alloxazine scaffold.
We applied multiple approaches: two inhibitors with distinct modes of action (that is, a chemical inhibitor that blocks the tyrosine kinase activity of FGFR1 and an antibody directed against FGFR1), specific siRNAs that target FGFR1 or FGFR3, as well as comparisons between FGF-2 versus FGF-18 treatments.
Applying multiple analytic approaches, we describe a novel mechanism by which the deleterious consequences of mutant COMP retention results in upregulation of miR-223 disturbing the adipogenesis - osteogenesis balance.
This was done by defining relatively stringent criteria of statistical significance, and by applying multiple computational approaches that were capable to highlight shared associations among the candidate genes.
We devised a model development process applying multiple statistical approaches in which a limited number of the most informative markers would be selected for inclusion.
Applying multiple clustering approaches, we find that our current data set optimally separates into two distinct clusters (see online supplementary table S2).
We biochemically characterized the PTMs accompanying in vitro NETosis and broadly profiled the in vivo humoral immune responses of patients with SLE and mice immunized with NETS by applying multiple proteomic approaches, including autoantigen microarrays [ 35], PTM-modified histone peptide arrays [ 36] and a high-throughput immunoblotting assay (modified Multiple Antigen Blot Assay, MABA) [ 37].
In order to expand this analysis and identify previously unidentified rhythmic transcripts, we reexamined our microarray data to identify novel rhythmic expression patterns at high confidence using an approach of applying multiple algorithms to the same dataset [ 34, 39, 47].
This work has applied multiple tools (physiological and isotopic labeling approaches) to the study of host-symbiont interactions and has revealed new data to illustrate how heat stress and heterotrophy interact, with implications for reef coral ecology in the midst of global change.
