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Author(s):  
Si Chen ◽  
Dongying Li ◽  
Zhen Ren ◽  
Dianke Yu ◽  
Baitang Ning ◽  
...  
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2017 ◽  
Vol 176 (2) ◽  
pp. 1485-1508 ◽  
Author(s):  
Juan C. Moreno ◽  
Silvia Martínez-Jaime ◽  
Joram Schwartzmann ◽  
Daniel Karcher ◽  
Michael Tillich ◽  
...  

2017 ◽  
Vol 292 (8) ◽  
pp. 3400-3410 ◽  
Author(s):  
Julia Bruggisser ◽  
Sandro Käser ◽  
Jan Mani ◽  
André Schneider

The mitochondrial outer membrane (OM) contains single and multiple membrane-spanning proteins that need to contain signals that ensure correct targeting and insertion into the OM. The biogenesis of such proteins has so far essentially only been studied in yeast and related organisms. Here we show that POMP10, an OM protein of the early diverging protozoan Trypanosoma brucei, is signal-anchored. Transgenic cells expressing variants of POMP10 fused to GFP demonstrate that the N-terminal membrane-spanning domain flanked by a few positively charged or neutral residues is both necessary and sufficient for mitochondrial targeting. Carbonate extraction experiments indicate that although the presence of neutral instead of positively charged residues did not interfere with POMP10 localization, it weakened its interaction with the OM. Expression of GFP-tagged POMP10 in inducible RNAi cell lines shows that its mitochondrial localization depends on pATOM36 but does not require Sam50 or ATOM40, the trypanosomal analogue of the Tom40 import pore. pATOM36 is a kinetoplastid-specific OM protein that has previously been implicated in the assembly of OM proteins and in mitochondrial DNA inheritance. In summary, our results show that although the features of the targeting signal in signal-anchored proteins are widely conserved, the protein machinery that mediates their biogenesis is not.


2016 ◽  
Vol 12 (11) ◽  
pp. 3370-3376 ◽  
Author(s):  
Hui Cheng ◽  
Yuanyuan Zhang ◽  
Hongyan Wang ◽  
Na Sun ◽  
Min Liu ◽  
...  

We chose the HDV ribozyme with an embedded theophylline aptamer as the sensor domain and the pri-miRNA as the effector domain to engineer a gene-regulatory device, and developed a new approach for inducible RNAi in the control of MAP4K4 gene expression.


2015 ◽  
Vol 112 (21) ◽  
pp. 6706-6711 ◽  
Author(s):  
Julien F. Ayroles ◽  
Sean M. Buchanan ◽  
Chelsea O’Leary ◽  
Kyobi Skutt-Kakaria ◽  
Jennifer K. Grenier ◽  
...  

Quantitative genetics has primarily focused on describing genetic effects on trait means and largely ignored the effect of alternative alleles on trait variability, potentially missing an important axis of genetic variation contributing to phenotypic differences among individuals. To study the genetic effects on individual-to-individual phenotypic variability (or intragenotypic variability), we used Drosophila inbred lines and measured the spontaneous locomotor behavior of flies walking individually in Y-shaped mazes, focusing on variability in locomotor handedness, an assay optimized to measure variability. We discovered that some lines had consistently high levels of intragenotypic variability among individuals, whereas lines with low variability behaved as although they tossed a coin at each left/right turn decision. We demonstrate that the degree of variability is itself heritable. Using a genome-wide association study (GWAS) for the degree of intragenotypic variability as the phenotype across lines, we identified several genes expressed in the brain that affect variability in handedness without affecting the mean. One of these genes, Ten-a, implicates a neuropil in the central complex of the fly brain as influencing the magnitude of behavioral variability, a brain region involved in sensory integration and locomotor coordination. We validated these results using genetic deficiencies, null alleles, and inducible RNAi transgenes. Our study reveals the constellation of phenotypes that can arise from a single genotype and shows that different genetic backgrounds differ dramatically in their propensity for phenotypic variabililty. Because traditional mean-focused GWASs ignore the contribution of variability to overall phenotypic variation, current methods may miss important links between genotype and phenotype.


2014 ◽  
Vol 38 (3) ◽  
pp. 99-105
Author(s):  
Hye Jin Son ◽  
◽  
Bon Chul Koo ◽  
Mo Sun Kwon ◽  
Young Man Lee ◽  
...  

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