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This NSF-funded project is a collaborative effort between Goldberg laboratory at UCLA and Harada laboratory at UCD to understand what the genes are required to make a soybean seed. We used soybean and Arabidopsis Affymetrix GeneChips, Laser Capture Microdissection (LCM), and 454 high-throughput sequencing technologies to profile the mRNA sets present in different seed regions and compartments throughout development. Our long-range goal is to understand the genes and regulatory networks required to make a seed. Click here to learn more about this project and what have been complished.
The website also features a Genome Browser that integrates information for probe set annotation, the corresponding gene model, GeneChip expression data, and corresponding 454 ESTs. We also mapped individual probes to soybean predicted gene models (generated by the Department of Energy (DOE) Joint Genome Institute, Glyma version 1.01, released April 7, 2009) using BLASTN (≥ 23/25 nucleotide identity) to associate soybean array probe sets with soybean gene models. Click here to download the association of Soybean array probe sets and Soybean gene models under Annotation section.
Professor Goldberg created and currently teaches a novel teaching program that are part of this NSF-sponsored project. The teaching program contains two courses: a lecture course, HC70A - Genetic Engineering in Medicine, Agriculture, and Law and a lab course, HC70AL - Gene Discovery Lab. This novel teaching program targets non-science majors and entering life science students. Professor Goldberg's objective is to teach undergraduates about the excitement of discovery, the process by which science is carried out, how advances in biology affect our daily lives, and how science is taught. Professor Goldberg and Professor Harada also used long-distance learning to teach students simultaneously at UCLA and UC Davis. Click here to learn more details about this unique teaching program. |
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To date, we have profiled the mRNA sets present in 71 soybean and Arabidopsis seed compartments from preglobular- to early maturation-stage seeds. All GeneChip data are stored in this web-based database. Under
Besides GeneChip experiments, we used 454 high-throughput sequencing technology to profile mRNA sets from soybean globular-stage seeds. 
