scholarly journals The Effect of 8-Weeks of Low-Intensity Swimming Training on Promyelocytic Leukemia Zinc Finger Protein and Spermatid Transition Nuclear Protein Gene Expression in Azoospermic Rats Model

2020 ◽  
Vol 26 (4) ◽  
pp. 332-347
Author(s):  
Leila Zohrabi Karani ◽  
◽  
Parvin Farzanegi ◽  
Mohammad Ali Azarbayjani ◽  
◽  
...  
Keyword(s):  
Gene Expression ◽  
Zinc Finger ◽  
Nuclear Protein ◽  
Promyelocytic Leukemia ◽  
Swimming Exercise ◽  
Promyelocytic Leukemia Zinc Finger ◽  
Expression Levels ◽  
Low Intensity ◽  
Healthy Control ◽  
Gene Expression Levels

Aims: One of the causes of infertility in men is the azoospermia disease, which is attributed to the lack of sperm in each sperm. The primary function of spermatogenesis is the maintenance, proliferation, and differentiation of spermatogonial cells. Thus, the present study aimed to investigate the changes in Promyelocytic Leukemia Zinc Finger (PLZF) and spermatid Transition Nuclear Protein (TNP) gene expression levels in an azoospermic rat model after 8 weeks of low-intensity aerobic training. Methods & Materials: In this experimental study, 15 adult male Wistar rats were randomly divided into three groups of healthy control, with azoospermia, and exercise plus azoospermia after creating an azoospermia model. The patient plus exercise group performed a low-intensity swimming exercise 30 minutes a day, five days a week for 8 weeks, after the creation of the azoospermic rats. A One-way ANOVA test was used for data analysis. Findings: The results showed that a period of swimming exercise program in the exercise plus azoospermia group significantly reduced PLZF gene expression compared to the healthy control groups (P=0.001) and no significant increase to the azoospermia group (P=0.06). There was also a significant decrease in TNP gene expression levels in the exercise plus azoospermia group compared to the healthy control group (P=0.001) and a significant increase in the azoospermia group (P=0.057). Conclusion: Based on these Findings, it can be stated that the alteration of key molecules or signaling pathways and expression of the PLZF and TNP genes in the spermatogenesis process may increase infertility, but regular aerobic exercise, such as low-intensity swimming, helps to control the effects of infertility by increasing the maintenance and development of spermatogonial stem cells.

Aberrant Expression of the MLL5, BAALC, ID1, and WT1 Genes Is Associated with Higher Induction Mortality and Poorer Overall Survival in Acute Promyelocytic Leukemia Patients Treated with ATRA and Anthracycline-Based Chemotherapy: An International Consortium On Acute Promyelocytic Leukemia Study

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1407-1407
Author(s):  
Antonio R Lucena-Araujo ◽  
Rafael Henriques Jacomo ◽  
Haesook T Kim ◽  
Raul A Melo ◽  
Rosane Bittencourt ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Board Of Directors ◽  
Acute Promyelocytic Leukemia ◽  
Outcome Prediction ◽  
Promyelocytic Leukemia ◽  
Advisory Committees ◽  
Aberrant Expression ◽  
Expression Levels ◽  
Gene Expression Levels

Abstract Abstract 1407 Background: Aberrant expression of MLL5, BAALC, ID1, and WT1 genes is frequently associated with inferior outcome in cytogenetically normal acute myeloid leukemia patients (Damm et al. Blood 2011; 117(17):4561–8). The expression levels of these genes vary in patients with acute promyelocytic leukemia (APL), but the clinical significance of these findings remains unclear. Objective: (1) to determine if the gene expression levels of MLL5, BAALC, ID1, and WT1 are associated with clinical outcome of APL patients treated with ATRA and anthracycline-based chemotherapy, (2) to generate an integrative score (IS) based on these potential prognostic factors and clinical parameters and (3) to use this score for outcome prediction in APL. Design and Methods: One hundred and fifty APL patients (age, 15–73y) from seven different Brazilian institutions and treated according to the IC-APL protocol were included. The treatment schedule was identical to the PETHEMA-LPA 2005, except for the replacement of idarubicin by daunorubicin; ATRA treatment was initiated immediately in all cases in which the diagnosis of APL was suspected based on morphology. Gene expression profile was analyzed by Real-time PCR. Integer weights for the IS were derived from Cox proportional hazard model, using overall survival (OS) as outcome parameter. Hazard ratios (HR) for OS were calculated for each variable separately (Table 1). Variables with P<0.05 in univariate analyses were included in the model. Variables considered for the model inclusion consisted in 2 clinical (WBC counts, albumin levels) and 5 molecular markers (FLT3-ITD status and gene expression levels of MLL5, BAALC, ID1, and WT1). Other candidates, such as age, platelet count, gender, ECOG performance status, PML breakpoint and FAB subtype were not significant and not included in the score. The HR were converted to integer weights according to the following: variables with HR < 1 were excluded from analyses; variables with HR 3 1 and < 1.5 were assigned a weight of 1; variables with HR 3 1.5 and < 2.5 were assigned a weight of 2; variables with HR 3 2.5 were assigned a weight of 3. The final score was the sum of these integer weights. Based on maximally selected rank statistics, the scores were grouped into 3 risk-groups: 0–5 (low-IS), 6–9 (intermediate-IS), and > 9 (high-IS). Results: The integrative weights of variables analyzed are summarized in Table 1. The IS was modeled in 137 patients (median score: 6; range, 1–17). According to PETHEMA-GIMEMA relapse risk criteria, 22%, 23% and 70% of patients assigned in the low-IS (n=46), intermediate-IS (n=57) and high-IS (n=34) groups were deemed high-risk of relapse (P<0.001). Overall, 118 (86%) patients achieved CR; the remaining 19 patients (14%) experienced early death due to hemorrhage (n=12), therapy-related infection (n=6) and differentiation syndrome (n=1). Induction mortality was significantly higher in the high-IS group (low: 2%; intermediate: 15%; high: 26%) (P=0.001). CR was achieved in the low-, intermediate-, and high-IS group in 98%, 84%, and 73% of the patients, respectively (P=0.007). With a follow-up of 24 months among survivors, patients assigned in the high-IS group had a lower 2-y OS rate (63%) compared with those in the intermediate- (80%) and low-IS groups (97%; P<0.001). Eight relapses were recorded. The IS was not predictive of relapses (P=0.351). Conclusions: Our results suggest that MLL5, BAALC, ID1, and WT1 expression levels are associated with clinical outcome and that the IS may become a useful tool for outcome prediction in APL. Disclosures: Lo-Coco: Cephalon: Speakers Bureau; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees. Löwenberg:Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees.

Genetic and epigenetic MTHFR gene variants in the mothers of attention-deficit/hyperactivity disorder affected children as possible risk factors for neurodevelopmental disorders

Epigenomics ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 813-823
Author(s):  
Ignazio Stefano Piras ◽  
Anna Costa ◽  
Maria Cristina Tirindelli ◽  
Andrea Stoccoro ◽  
Matthew J Huentelman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Promoter Methylation ◽  
Mthfr Gene ◽  
Expression Levels ◽  
Hyperactivity Disorder ◽  
Genotype Frequencies ◽  
Healthy Control ◽  
Gene Expression Levels

Aim: To assess promoter methylation levels, gene expression levels and 677C>T/1298A>C genotype and allele frequencies of the MTHFR gene in 45 mothers of attention-deficit/hyperactivity disorder affected child/children (ADHDM) and compare it with age matched healthy control mothers (HCM). Materials & methods: High resolution melting analysis, quantitative real time PCR and PCR-RFLP were performed to assess methylation, gene expression and genotyping, respectively. Significance between ADHDM and HCM was assessed by linear (methylation and gene expression) and logistic regression (genotypes). Results: MTHFR gene expression levels were significantly higher in the ADHDM compared with the HCM group (adj-p < 7.7E-04). No differences in MTHFR promoter methylation level and 677C>T/1298A>C genotype frequencies were detected between ADHDM and HCM. Conclusion: We observed increased MTHFR expression levels not resulting from promoter methylation changes in ADHDM respect to HMC, potentially contributing to the ADHD condition in their children and deserving further investigation.

scholarly journals A Sparse and Low-Rank Regression Model for Identifying the Relationships Between DNA Methylation and Gene Expression Levels in Gastric Cancer and the Prediction of Prognosis

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 854
Author(s):  
Yishu Wang ◽  
Lingyun Xu ◽  
Dongmei Ai
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Dna Methylation ◽  
Regression Model ◽  
The Cancer Genome Atlas ◽  
Low Rank ◽  
Expression Levels ◽  
Rank Regression ◽  
Prediction Of Prognosis ◽  
Gene Expression Levels

DNA methylation is an important regulator of gene expression that can influence tumor heterogeneity and shows weak and varying expression levels among different genes. Gastric cancer (GC) is a highly heterogeneous cancer of the digestive system with a high mortality rate worldwide. The heterogeneous subtypes of GC lead to different prognoses. In this study, we explored the relationships between DNA methylation and gene expression levels by introducing a sparse low-rank regression model based on a GC dataset with 375 tumor samples and 32 normal samples from The Cancer Genome Atlas database. Differences in the DNA methylation levels and sites were found to be associated with differences in the expressed genes related to GC development. Overall, 29 methylation-driven genes were found to be related to the GC subtypes, and in the prognostic model, we explored five prognoses related to the methylation sites. Finally, based on a low-rank matrix, seven subgroups were identified with different methylation statuses. These specific classifications based on DNA methylation levels may help to account for heterogeneity and aid in personalized treatments.

scholarly journals High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Weitong Cui ◽  
Huaru Xue ◽  
Lei Wei ◽  
Jinghua Jin ◽  
Xuewen Tian ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Expression ◽  
Small Sample ◽  
Differentially Expressed ◽  
Cancer Type ◽  
Rna Seq ◽  
Sample Sizes ◽  
Large Sample ◽  
Expression Levels ◽  
Gene Expression Levels

Abstract Background RNA sequencing (RNA-Seq) has been widely applied in oncology for monitoring transcriptome changes. However, the emerging problem that high variation of gene expression levels caused by tumor heterogeneity may affect the reproducibility of differential expression (DE) results has rarely been studied. Here, we investigated the reproducibility of DE results for any given number of biological replicates between 3 and 24 and explored why a great many differentially expressed genes (DEGs) were not reproducible. Results Our findings demonstrate that poor reproducibility of DE results exists not only for small sample sizes, but also for relatively large sample sizes. Quite a few of the DEGs detected are specific to the samples in use, rather than genuinely differentially expressed under different conditions. Poor reproducibility of DE results is mainly caused by high variation of gene expression levels for the same gene in different samples. Even though biological variation may account for much of the high variation of gene expression levels, the effect of outlier count data also needs to be treated seriously, as outlier data severely interfere with DE analysis. Conclusions High heterogeneity exists not only in tumor tissue samples of each cancer type studied, but also in normal samples. High heterogeneity leads to poor reproducibility of DEGs, undermining generalization of differential expression results. Therefore, it is necessary to use large sample sizes (at least 10 if possible) in RNA-Seq experimental designs to reduce the impact of biological variability and DE results should be interpreted cautiously unless soundly validated.

scholarly journals Genome-Wide Expression and Alternative Splicing in Domesticated Sunflowers (Helianthus annuus L.) under Flooding Stress

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 92
Author(s):  
Joon Seon Lee ◽  
Lexuan Gao ◽  
Laura Melissa Guzman ◽  
Loren H. Rieseberg
Keyword(s):  
Gene Expression ◽  
Alternative Splicing ◽  
Mixed Model ◽  
Agricultural Land ◽  
Alcohol Fermentation ◽  
Expression Levels ◽  
Flooding Stress ◽  
Genome Wide ◽  
And Control ◽  
Gene Expression Levels

Approximately 10% of agricultural land is subject to periodic flooding, which reduces the growth, survivorship, and yield of most crops, reinforcing the need to understand and enhance flooding resistance in our crops. Here, we generated RNA-Seq data from leaf and root tissue of domesticated sunflower to explore differences in gene expression and alternative splicing (AS) between a resistant and susceptible cultivar under both flooding and control conditions and at three time points. Using a combination of mixed model and gene co-expression analyses, we were able to separate general responses of sunflower to flooding stress from those that contribute to the greater tolerance of the resistant line. Both cultivars responded to flooding stress by upregulating expression levels of known submergence responsive genes, such as alcohol dehydrogenases, and slowing metabolism-related activities. Differential AS reinforced expression differences, with reduced AS frequencies typically observed for genes with upregulated expression. Significant differences were found between the genotypes, including earlier and stronger upregulation of the alcohol fermentation pathway and a more rapid return to pre-flooding gene expression levels in the resistant genotype. Our results show how changes in the timing of gene expression following both the induction of flooding and release from flooding stress contribute to increased flooding tolerance.

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