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Shen, Z.

Publications and source records attributed to Shen, Z..

2 recordsLinked to original sources

Diverse motif ensembles specify non-redundant DNA binding activities of AP-1 family members in macrophages

Mechanisms by which members of the AP-1 family of transcription factors play both redundant and non-redundant biological roles despite recognizing the same DNA sequence remain poorly understood. To address this question, we investigated the molecular functions and genome-wide DNA binding patterns of AP-1 family members in macrophages. ChIP-sequencing showed overlapping and distinct binding profiles for each factor that were remodeled following TLR4 ligation. Development of a machine learning approach that jointly weighs hundreds of DNA recognition elements yielded dozens of motifs predicted to drive factor-specific binding profiles. Machine learning-based predictions were confirmed by analysis of the effects of mutations in genetically diverse mice and by loss of function experiments. These findings provide evidence that non-redundant genomic locations of different AP-1 family members in macrophages largely result from collaborative interactions with diverse, locus-specific ensembles of transcription factors and suggest a general mechanism for encoding functional specificities of their common recognition motif.

genomics

Quantitative proteomic analysis of auxin signaling during seedling development

Auxin induces rapid gene expression changes throughout plant development. How these transcriptional responses relate to changes in protein abundance is not well characterized. We have identified auxin regulated proteins in whole seedlings, roots and hypocotyls and at three different time points (30 min, 120 min and 3 hours) using an iTRAQ (isobaric tags for relative and absolute quantification) based quantitative proteomics approach. These profiling experiments detected 4,701 proteins from seedling tissue, 6,740 proteins from root tissue and 3,925 proteins from hypocotyl tissue. Comparisons between the differentially expressed proteins data sets showed little overlap, suggesting that auxin proteomes exhibit both temporal and spatial specificity. Numerous proteins showed significant changes in abundance following auxin treatment independent of changes in cognate transcript abundance. This includes several well characterized proteins with various roles in auxin pathways, suggesting that complex gene regulation mechanisms follow auxin signaling events. Specifically, regulation of translation may play a role as inferred from MapMan categorization analyses and protein interaction networks comprised of auxin regulated proteins. Additionally, functional categorization of auxin regulated proteins indicates rapid and complex metabolic changes occur in both roots and hypocotyls in response to auxin which are not apparent from transcriptome analyses. Altogether these data describe novel auxin-regulated proteomes and are an excellent resource for identifying new downstream signaling components related to auxin-mediated plant growth and development.

plant biology