Designing, Construction and Functional Characterization of Tissue-specific Synthetic Promoter in Rice

2017 ◽  
Vol 43 (6) ◽  
pp. 789
Author(s):  
Rui WANG ◽  
Meng-Lin ZHU ◽  
Fang-Yuan GAO ◽  
Juan-Sheng REN ◽  
Xian-Jun LU ◽  
...  
1979 ◽  
Vol 36 (1) ◽  
pp. 323-342
Author(s):  
R. Rutz ◽  
J. Lilien

We have developed a quantitative assay for tissue-specific adhesive components which is based on the agglutination of glutaraldehyde-fixed cells. At least 2 components are required for fixed-cell agglutination: a cell-surface ligand which is obtained from tissue culture-conditioned medium, and a soluble ‘agglutinin’ which accumulates in conditioned medium from monolayer cultures. Our results suggest that the surface-binding ligand and the agglutinin interact directly, resulting in tissue-specific agglutination of cells. The agglutination reaction exhibits divalent cation, temperature, and pH dependence. Several models of cell adhesion are described; the simplest of these which can account for the data is a multicomponent model in which the 2 adhesive components have structural roles.


1999 ◽  
Vol 274 (52) ◽  
pp. 36866-36875 ◽  
Author(s):  
Yong-Ou Kim ◽  
Ho-Jin Koh ◽  
Seok-Hyung Kim ◽  
Seung-Hee Jo ◽  
Jae-Wook Huh ◽  
...  

2019 ◽  
Author(s):  
Husen M. Umer ◽  
Karolina Smolinska-Garbulowska ◽  
Nour-al-dain Marzouka ◽  
Zeeshan Khaliq ◽  
Claes Wadelius ◽  
...  

ABSTRACTTranscription factors (TF) regulate gene expression by binding to specific sequences known as motifs. A bottleneck in our knowledge of gene regulation is the lack of functional characterization of TF motifs, which is mainly due to the large number of predicted TF motifs, and tissue specificity of TF binding. We built a framework to identify tissue-specific functional motifs (funMotifs) across the genome based on thousands of annotation tracks obtained from large-scale genomics projects including ENCODE, RoadMap Epigenomics and FANTOM. The annotations were weighted using a logistic regression model trained on regulatory elements obtained from massively parallel reporter assays. Overall, genome-wide predicted motifs of 519 TFs were characterized across fifteen tissue types. funMotifs summarizes the weighted annotations into a functional activity score for each of the predicted motifs. funMotifs enabled us to measure tissue specificity of different TFs and to identify candidate functional variants in TF motifs from the 1000 genomes project, the GTEx project, the GWAS catalogue, and in 2,515 cancer samples from the Pan-cancer analysis of whole genome sequences (PCAWG) cohort. To enable researchers annotate genomic variants or regions of interest, we have implemented a command-line pipeline and a web-based interface that can publicly be accessed on: http://bioinf.icm.uu.se/funmotifs.


2012 ◽  
Vol 21 (22) ◽  
pp. 4930-4938 ◽  
Author(s):  
Ramon Y. Birnbaum ◽  
David B. Everman ◽  
Karl K. Murphy ◽  
Fiorella Gurrieri ◽  
Charles E. Schwartz ◽  
...  

2014 ◽  
Vol 42 (21) ◽  
pp. 13353-13369 ◽  
Author(s):  
Andreas Arnold ◽  
Md Masuder Rahman ◽  
Man Chun Lee ◽  
Sandra Muehlhaeusser ◽  
Iskra Katic ◽  
...  

Planta ◽  
2010 ◽  
Vol 231 (5) ◽  
pp. 1061-1076 ◽  
Author(s):  
Sitakanta Pattanaik ◽  
Que Kong ◽  
David Zaitlin ◽  
Joshua R. Werkman ◽  
Claire H. Xie ◽  
...  

2020 ◽  
Vol 21 (22) ◽  
pp. 8566
Author(s):  
Savitha Dhandapani ◽  
Mi Jung Kim ◽  
Hui Jun Chin ◽  
Sing Hui Leong ◽  
In-Cheol Jang

In addition to the well-known diterpenoid steviol glycosides, Stevia rebaudiana (Stevia) produces many labdane-type diterpenoids and a wide range of mono- and sesquiterpenoids. However, biosynthesis of mono- and sesquiterpenoids in Stevia remains unknown. Here we analyzed the extracts of Stevia leaves, flowers, stems, and roots by Gas Chromatography–Mass Spectrometry and putatively identified a total of 69 volatile organic compounds, most of which were terpenoids with considerably varied quantities among the four tissues of Stevia. Using Stevia transcriptomes, we identified and functionally characterized five terpene synthases (TPSs) that produced major mono- and sesquiterpenoids in Stevia. Transcript levels of these Stevia TPSs and levels of corresponding terpenoids correlated well in Stevia tissues. Particularly, the root-specific SrTPS4 and SrTPS5 catalyzed the formation of γ-curcumene/zingiberene/β-sesquiphellandrene and α-longipinene/β-himachalene/himachalol as multifunctional sesqui-TPSs, respectively. Most of the SrTPSs were highly responsive to various environmental stresses in a tissue-specific manner. Taken together, our results provide new insights into how Stevia produces diverse terpenoids to confer differential responses to various environmental factors in each tissue.


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