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Michigan State University | about 2 months ago
-lab techniques ( e.g. , immunoblotting, protein phosphorylation assays, cellular ultrastructure investigation, lipidomics, proteomics, etc.) with computational approaches ( e.g. , protein-protein
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-lab techniques ( e.g. , immunoblotting, protein phosphorylation assays, cellular ultrastructure investigation, lipidomics, proteomics, etc.) with computational approaches ( e.g. , protein-protein
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, brightfield/fluorescence, and transmission electron microscopy Advanced protein and or gene analysis (e.g. SDS-PAGE and Western blotting, immunohistochemistry, immunofluorescence, ddPCR/qRT-PCR
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. Experience with soybean protein, oil, fatty acid, carbohydrate, amino acid, or metabolite analysis Experience with CRISPR/Cas, transgenic materials, or other functional genomics platforms. Strong
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analyses to identify causal variants underlying soybean seed quality, oil, protein, and yield traits Identify and characterize structural genomic variants — including large deletions, CNVs, and
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protein and RNA molecules in real time to define how the transcription of specialized switch regions triggers the formation of double strand breaks which results in a large intra-chromosomal deletion
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proteins required for ER functional homeostasis. In particular, we study the unfolded protein response (UPR), a conserved signaling pathway activated by the accumulation of misfolded proteins in the
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, biochemistry, pigment analysis, functional assays, genomics, and comparative and organismal approaches. Roles, responsibilities, and expectations This is primarily a research appointment. Depending on
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identify loci associated with white mold ( Sclerotinia sclerotiorum ) resistance in soybean using genome-wide association studies (GWAS), quantitative trait locus (QTL) mapping, linkage analysis, and