scholarly journals MP38-14 STAGE-SPECIFIC GENE ANALYSIS OF APICAL ECTOPLASMIC SPECIALIZATION USING LASER MICRODISSECTION

2020 ◽  
Vol 203 ◽  
pp. e574
Author(s):  
Tomoki Takeda* ◽  
Shoichiro Iwatsuki ◽  
Satoshi Nozaki ◽  
Hidenori Nishio ◽  
Hiroki Kubota ◽  
...  
2010 ◽  
Vol 22 (2) ◽  
pp. 168-e52 ◽  
Author(s):  
m. böttner ◽  
f. bär ◽  
h. von koschitzky ◽  
k. tafazzoli ◽  
u. j. roblick ◽  
...  

2021 ◽  
Author(s):  
Tsutomu Ishimaru ◽  
Sabiha Parween ◽  
Yuhi Saito ◽  
Takehiro Masumura ◽  
Motohiko Kondo ◽  
...  

Abstract Rice (Oryza sativa L.) filial seed tissues are heterozygous in its function, which accumulate distinct storage compounds spatially in starchy endosperm and aleurone. In this study, we identified the 18 tissue- and stage-specific gene co-regulons in the developing endosperm by isolating four fine tissues dorsal aleurone layer (AL), central starchy endosperm (CSE), dorsal starchy endosperm (DSE), and lateral starchy endosperm (LSE) at two developmental stages (7 days after flowering, DAF and 12DAF) using laser microdissection (LM) coupled with gene expression analysis of a 44K microarray. The derived co-expression regulatory networks depict that distinct set of starch biosynthesis genes expressed preferentially at first in CSE at 7 DAF and extend its spatial expression to LSE and DSE by 12 DAF. Interestingly, along with the peak of starch metabolism we noticed accumulation of transcripts related to phospholipid and glycolipid metabolism in CSE during 12 DAF. The spatial distribution of starch accumulation in distinct zones of starchy endosperm contains specific transcriptional factors and hormonal-regulated genes. Genes related to programmed cell death (PCD) were specifically expressed in CSE at 12DAF, when starch accumulation was already completed in that tissue. The aleurone layer present in the outermost endosperm accumulates transcripts of lipid, tricarboxylic acid metabolism, several transporters, while starch metabolism and PCD is not pronounced. These regulatory cascades are likely to play a critical role in determining the positional fate of cells and offer novel insights into the molecular physiological mechanisms of endosperm development from early to middle storage phase.


2011 ◽  
Vol 198 ◽  
pp. 323-330 ◽  
Author(s):  
S.H. Liang ◽  
J.K. Liu ◽  
K.H. Lee ◽  
Y.C. Kuo ◽  
C.M. Kao
Keyword(s):  

2020 ◽  
Author(s):  
Jiwoong Kim ◽  
Shuang Jiang ◽  
Guanghua Xiao ◽  
Yang Xie ◽  
Dajiang Liu ◽  
...  

Abstract Background In microbiome research, metagenomic sequencing generates enormous amounts of data. These data are typically classified into taxa for taxonomy analysis, or into genes for functional analysis. However, a joint analysis where the reads are classified into taxa-specific genes is often overlooked. Result To enable the analysis of this biologically meaningful feature, we developed a novel bioinformatic toolkit, MetaPrism, which can analyze sequence reads for a set of joint taxa/gene analyses: 1) classify sequence reads and estimate the abundances for taxa-specific genes; 2) tabularize and visualize taxa-specific gene abundances; 3) compare the abundances between groups, and 4) build prediction models for clinical outcome. We illustrated these functions using a published microbiome metagenomics dataset from patients treated with immune checkpoint inhibitor therapy and showed the joint features can serve as potential biomarkers to predict therapeutic responses. Conclusions MetaPrism is a toolkit for joint taxa and gene analysis. It offers biological insights on the taxa-specific genes on top of the taxa-alone or gene-alone analysis. MetaPrism is open source software and freely available at https://github.com/jiwoongbio/MetaPrism. The example script to reproduce the manuscript is also provided in the above code repository.


Sign in / Sign up

Export Citation Format

Share Document