scholarly journals Global Metabolic Regulation of the Snow Alga Chlamydomonas nivalis in Response to Nitrate or Phosphate Deprivation by a Metabolome Profile Analysis

2016 ◽  
Vol 17 (5) ◽  
pp. 694 ◽  
Author(s):  
Na Lu ◽  
Jun-Hui Chen ◽  
Dong Wei ◽  
Feng Chen ◽  
Gu Chen
Keyword(s):  
Metabolic Regulation ◽  
Profile Analysis ◽  
Phosphate Deprivation ◽  
Snow Alga

scholarly journals Analysis of the oligopeptide transporter gene family in Ganoderma lucidum: structure, phylogeny, and expression patterns

Genome ◽  
2017 ◽  
Vol 60 (4) ◽  
pp. 293-302 ◽  
Author(s):  
Quanju Xiang ◽  
Keyu Shen ◽  
Xiumei Yu ◽  
Ke Zhao ◽  
Yunfu Gu ◽  
...  
Keyword(s):  
Ganoderma Lucidum ◽  
Metabolic Regulation ◽  
Profile Analysis ◽  
Expression Patterns ◽  
Genome Database ◽  
Functional Conservation ◽  
Functional Development ◽  
Expression Profile Analysis ◽  
Starting Point ◽  
Extracellular Environment

Oligopeptide transporters (OPTs) are believed to transport broad ranges of substrates across the plasma membrane from the extracellular environment into the cell and are thought to contribute to various biological processes. In the present study, 13 putative OPTs (Gl-OPT1 to Gl-OPT13) were identified through extensive search of Ganoderma lucidum genome database. Phylogenetic analysis with OPTs from other fungi and plants indicates that these genes can be further divided into five groups. Motif compositions of OPT members are highly conserved in each group, indicative of functional conservation. Expression profile analysis of the 13 Gl-OPT genes indicated that, with the exception of Gl-OPT7–Gl-OPT9, for which no transcripts were detected, all paralogues were differentially expressed, suggesting their potential involvement in stress response and functional development of fungi. Overall, the analyses in this study provide a starting point for elucidating the functions of OPT in G. lucidum, and for understanding the complexities of metabolic regulation.

Applications of SIMS to electronic materials and devices

1992 ◽  
Vol 50 (2) ◽  
pp. 1682-1683
Author(s):  
S.F. Corcoran
Keyword(s):  
Depth Distribution ◽  
Secondary Ion Mass Spectrometry ◽  
Semiconductor Device ◽  
Electronic Materials ◽  
Profile Analysis ◽  
Semiconductor Industry ◽  
Small Diameter ◽  
Depth Resolution ◽  
Detection Sensitivity

Over the past decade secondary ion mass spectrometry (SIMS) has played an increasingly important role in the characterization of electronic materials and devices. The ability of SIMS to provide part per million detection sensitivity for most elements while maintaining excellent depth resolution has made this technique indispensable in the semiconductor industry. Today SIMS is used extensively in the characterization of dopant profiles, thin film analysis, and trace analysis in bulk materials. The SIMS technique also lends itself to 2-D and 3-D imaging via either the use of stigmatic ion optics or small diameter primary beams.By far the most common application of SIMS is the determination of the depth distribution of dopants (B, As, P) intentionally introduced into semiconductor materials via ion implantation or epitaxial growth. Such measurements are critical since the dopant concentration and depth distribution can seriously affect the performance of a semiconductor device. In a typical depth profile analysis, keV ion sputtering is used to remove successive layers the sample.

Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 288-295 ◽  
Author(s):  
Nadia Bounoua ◽  
Jasmeet P. Hayes ◽  
Naomi Sadeh
Keyword(s):  
Latent Profile Analysis ◽  
Suicide Attempts ◽  
Clinical Symptoms ◽  
Profile Analysis ◽  
Risky Behaviors ◽  
Self Report ◽  
Cross Sectional ◽  
Research Priority ◽  
Self Harm ◽  
And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

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