Diverse High Throughput Technologies in Cancer Research and Synthetic Biology
summary
Joint analysis links matched miRNA and mRNA from ~100 breast tumors using minimum hypergeometric tests on Agilent arrays to show miR‑29 anti‑correlates with extracellular matrix genes and miR‑150 associates with immune signatures; methylation explains a misclassified BRCA1 sample and ~43% of triple‑negative cases show BRCA1 promoter hypermethylation. Serum HPLC glycan profiling finds GP18 down in cancer and GP34 anti‑correlates with mRNAs for cell motility. A synthesized oligo library of 6,500 promoter variants performs GCN4 scanning mutagenesis in yeast, showing one reverse‑complement motif can substitute for consensus, two/three sites boost expression but plateau, and close spacing causes interference.
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chapters (9)
- 0:00Start
- 0:20Molecular flow of information in the cell
- 11:48miR 150 is orthogonal to current molecular classification
- 12:15MicMa and MDG glycan profiling
- 12:40HPLC chromatogram separating 46 peaks
- 14:02Glycan group differential abundance in MDG Serum Samples
- 21:05Synthetic promoters: Overview of the study
- 26:35TFBS multiplicity
- 29:18Summary
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