scholarly journals Gene Expression under Short-Term Low Temperatures: Preliminary Screening Method to Obtain Tolerant Citrus Rootstocks

Horticulturae ◽  
2021 ◽  
Vol 7 (11) ◽  
pp. 447
Author(s):  
Amparo Primo-Capella ◽  
Mary-Rus Martínez-Cuenca ◽  
Maria Ángeles Forner-Giner
Keyword(s):  
Gene Expression ◽  
Screening Method ◽  
Poncirus Trifoliata ◽  
Selection Strategy ◽  
Short Term ◽  
Cold Response ◽  
Plant Materials ◽  
Preliminary Screening ◽  
Weather Patterns ◽  
Citrus Macrophylla

Climate change and global warming are leading to a change in weather patterns toward hot and cold waves. Citrus fruits are a tropical or subtropical crop whose growth is altered by changes in weather patterns. Thus, in the present work, two experiments are evaluated to obtain a screening method to select citrus rootstocks that help us to select new low-temperature-tolerant plant materials. One cold experiment was carried out with the Poncirus trifoliata and Citrus macrophylla rootstocks at 4 °C for 4, 8, 24 and 56 h. A second experiment was performed at 4 °C for 5 days with subsequent acclimatization lasting 0, 5, 10 and 24 h. The expression of the cold response genes CAMTA1, CAMTA3, CAMTA5, CBF1, ICE1 and COR413 IM1 was quantified. The results showed that the best rootstock selection strategy was the second experiment, as a higher expression of the genes CAMTA3, CAMTA5, CBF1 and COR413 IM1 was seen in the tolerant genotype P. trifoliata. We quantified the gene expression of proline biosynthesis P5CS1, dOAT and the proline transporters PROT1 and PROT2; the concentration of the amino acid proline in leaves was also quantified. These results once again showed that the best experiment to differentiate between tolerant and sensitive rootstocks was the second experiment with acclimation time.

scholarly journals Restriction-mediated Differential Display (RMDD) Identifies pip92 as a Pro-Apoptotic Gene Product Induced during Focal Cerebral Ischemia

2004 ◽  
Vol 24 (2) ◽  
pp. 224-236 ◽  
Author(s):  
Armin Schneider ◽  
Achim Fischer ◽  
Daniela Weber ◽  
Oliver von Ahsen ◽  
Sigrid Scheek ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cerebral Ischemia ◽  
Differential Display ◽  
Focal Cerebral Ischemia ◽  
Screening Method ◽  
Artery Occlusion ◽  
Selection Strategy ◽  
Complex Samples ◽  
Apoptotic Activity ◽  
Cerebral Artery Occlusion

Studies of gene expression changes after cerebral ischemia can provide novel insight into ischemic pathophysiology. Here we describe application of restriction-mediated differential display to screening for differentially expressed genes after focal cerebral ischemia. This method combines the nonredundant generation of biotin-labeled fragment sets with the excellent resolution of direct blotting electrophoresis, reliable fragment recovery, and a novel clone selection strategy. Using the filament model in mouse with 90 minutes MCA occlusion followed by 2, 6, and 20 hours reperfusion, we have compared gene expression in sham-operated animals to both the ipsi- and contralateral forebrain hemisphere of ischemic mice. Our screening method has resulted in the identification of 70 genes differentially regulated after transient middle cerebral artery occlusion (MCAO), several of which represent unknown clones. We have identified many of the previously published regulated genes, lending high credibility to our method. Surprisingly, we detected a high degree of correspondent regulation of genes in the nonischemic hemisphere. A high percentage of genes coding for proteins in the respiratory chain was found to be up-regulated after ischemia, potentially representing a new mechanism involved in counteracting energy failure or radical generation in cerebral ischemia. One particularly interesting gene, whose upregulation by ischemia has not been described before, is pip92; this gene shows a rapid and long-lasting induction after cerebral ischemia. Here we demonstrate that pip92 induces cell death in primary neurons and displays several hallmarks of pro-apoptotic activity upon overexpression, supporting the notion that we have identified a novel pathophysiological player in cerebral ischemia. In summary, restriction-mediated differential display has proven its suitability for screening complex samples such as brain to reliably identify regulated genes, which can uncover novel pathophysiological mechanisms.

Short-term Load Forecasting by Using Improved GEP and Abnormal Load Recognition

2021 ◽  
Vol 21 (4) ◽  
pp. 1-28
Author(s):  
Song Deng ◽  
Fulin Chen ◽  
Xia Dong ◽  
Guangwei Gao ◽  
Xindong Wu
Keyword(s):  
Gene Expression ◽  
Probability Distribution ◽  
Detection Rate ◽  
Cross Validation ◽  
Normal Load ◽  
Gene Expression Programming ◽  
Load Forecasting ◽  
Short Term ◽  
Forecasting Models ◽  
Short Term Load Forecasting

Load forecasting in short term is very important to economic dispatch and safety assessment of power system. Although existing load forecasting in short-term algorithms have reached required forecast accuracy, most of the forecasting models are black boxes and cannot be constructed to display mathematical models. At the same time, because of the abnormal load caused by the failure of the load data collection device, time synchronization, and malicious tampering, the accuracy of the existing load forecasting models is greatly reduced. To address these problems, this article proposes a Short-Term Load Forecasting algorithm by using Improved Gene Expression Programming and Abnormal Load Recognition (STLF-IGEP_ALR). First, the Recognition algorithm of Abnormal Load based on Probability Distribution and Cross Validation is proposed. By analyzing the probability distribution of rows and columns in load data, and using the probability distribution of rows and columns for cross-validation, misjudgment of normal load in abnormal load data can be better solved. Second, by designing strategies for adaptive generation of population parameters, individual evolution of populations and dynamic adjustment of genetic operation probability, an Improved Gene Expression Programming based on Evolutionary Parameter Optimization is proposed. Finally, the experimental results on two real load datasets and one open load dataset show that compared with the existing abnormal data detection algorithms, the algorithm proposed in this article have higher advantages in missing detection rate, false detection rate and precision rate, and STLF-IGEP_ALR is superior to other short-term load forecasting algorithms in terms of the convergence speed, MAE, MAPE, RSME, and R 2 .

Global and targeted gene expression and protein content in skeletal muscle of young men following short-term creatine monohydrate supplementation

2008 ◽  
Vol 32 (2) ◽  
pp. 219-228 ◽  
Author(s):  
Adeel Safdar ◽  
Nicholas J. Yardley ◽  
Rodney Snow ◽  
Simon Melov ◽  
Mark A. Tarnopolsky
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Mrna Expression ◽  
Protein Content ◽  
Cellular Response ◽  
Glycogen Synthesis ◽  
Creatine Monohydrate ◽  
Fat Free Mass ◽  
Cell Swelling ◽  
Short Term

Creatine monohydrate (CrM) supplementation has been shown to increase fat-free mass and muscle power output possibly via cell swelling. Little is known about the cellular response to CrM. We investigated the effect of short-term CrM supplementation on global and targeted mRNA expression and protein content in human skeletal muscle. In a randomized, placebo-controlled, crossover, double-blind design, 12 young, healthy, nonobese men were supplemented with either a placebo (PL) or CrM (loading phase, 20 g/day × 3 days; maintenance phase, 5 g/day × 7 days) for 10 days. Following a 28-day washout period, subjects were put on the alternate supplementation for 10 days. Muscle biopsies of the vastus lateralis were obtained and were assessed for mRNA expression (cDNA microarrays + real-time PCR) and protein content (Kinetworks KPKS 1.0 Protein Kinase screen). CrM supplementation significantly increased fat-free mass, total body water, and body weight of the participants ( P < 0.05). Also, CrM supplementation significantly upregulated (1.3- to 5.0-fold) the mRNA content of genes and protein content of kinases involved in osmosensing and signal transduction, cytoskeleton remodeling, protein and glycogen synthesis regulation, satellite cell proliferation and differentiation, DNA replication and repair, RNA transcription control, and cell survival. We are the first to report this large-scale gene expression in the skeletal muscle with short-term CrM supplementation, a response that suggests changes in cellular osmolarity.

Gene Expression Analysis in Human Peripheral Blood Cells after 900 MHz RF-EMF Short-Term Exposure

2018 ◽  
Vol 189 (5) ◽  
pp. 529-540 ◽  
Author(s):  
Andreas Lamkowski ◽  
Matthias Kreitlow ◽  
Jörg Radunz ◽  
Martin Willenbockel ◽  
Frank Sabath ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Gene Expression Analysis ◽  
Human Peripheral Blood ◽  
Peripheral Blood Cells ◽  
Short Term ◽  
Short Term Exposure

Bioinformatics Analysis of The Expression of ATP Binding Cassette Transporters and The Screening of Regulatory Genes in PTEN/PI3K/Akt/mTOR Signaling Pathway in The Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Tingdan Zheng ◽  
Wuqi Song ◽  
Aiying Yang
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Bioinformatics Analysis ◽  
Wilcoxon Test ◽  
Rank Test ◽  
Short Term ◽  
Term Survival ◽  
Log Rank Test ◽  
Short Term Survival

Abstract Objective Here we performed the Bioinformatics analysis on the data from The Cancer Genome Atlas (TCGA), in order to find the correlation between the expression of ATP Binding Cassette (ABC) Transporters’ genes and hepatocellular carcinoma (HCC) prognosis; Methods Transcriptome profiles and clinical data of HCC were obtained from TCGA database. Package edgeR was used to analyze differential gene expression. Patients were divided into low-ABC expression and high-ABC expression groups based on the median expression level of ABC genes in cancer. The overall survival and short-term survival (n= 341) of the two groups was analyzed using the log-rank test and Wilcoxon test; Results We found that ABC gene expression was correlated with the expression of PIK3C2B (p<0.001, ABCC1: r=0.27; ABCC10: r=0.57; ABCC4: r=0.20; ABCC5: r=0.28; ABCB9: r=0.17; ABCD1: r=0.21). All patients with low-ABC expression showed significantly increased overall survival. Significantly decreased overall survival (Log-rank test: p<0.05, Wilcoxon test: p<0.05) was found in patients with high expression of ABCC1 (HR=1.58), ABCD1 (HR=1.45), ABCC4 (HR=1.56), and ABCC5 (HR=1.64), while decreased short-term survival (Log-rank test: p>0.05, Wilcoxon test: p<0.05) was correlated with the increased expression of ABCC10 (HR=1.29), PIK3C2B (HR=1.29) and ABCB9 (HR=1.23); Conclusions Our findings indicate that the specific ABC gene expression correlates with the prognosis of HCC. Therefore, ABC expression profile could be a potential indicator for HCC patients.

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