scholarly journals A systematic analysis reveals gene expression alteration of serum deprivation response (SDPR) gene is significantly associated with the survival of patients with cancer

2019 ◽  
Author(s):  
Yingshuang Wang ◽  
Zhen Song ◽  
Ping Leng ◽  
Yun Liu
2018 ◽  
Vol 9 (24) ◽  
pp. 4568-4577 ◽  
Author(s):  
Yan Lin ◽  
Jinyan Zhang ◽  
Junying Cai ◽  
Rong Liang ◽  
Guoying Chen ◽  
...  

2021 ◽  
Author(s):  
Weizheng Liang ◽  
Guipeng Li ◽  
Huanhuan Cui ◽  
Yukai Wang ◽  
Wencheng Wei ◽  
...  

AbstractDifferences in gene expression, which can arise from divergence in cis-regulatory elements or alterations in transcription factors binding specificity, are one of the most important causes of phenotypic diversity during evolution. By protein sequence analysis, we observed high sequence conservation in the DNA binding domain (DBD) of the transcription factor Cdx2 across many vertebrates, whereas three amino acid changes were exclusively found in mouse Cdx2 (mCdx2), suggesting potential positive selection in the mouse lineage. Multi-omics analyses were then carried out to investigate the effects of these changes. Surprisingly, there were no significant functional differences between mCdx2 and its rat homologue (rCdx2), and none of the three amino acid changes had any impact on its function. Finally, we used rat-mouse allodiploid embryonic stem cells (RMES) to study the cis effects of Cdx2-mediated gene regulation between the two rodents. Interestingly, whereas Cdx2 binding is largely divergent between mouse and rat, the transcriptional effect induced by Cdx2 is conserved to a much larger extent.Author summaryOur study 1) represented a first systematic analysis of species-specific adaptation in DNA binding pattern of transcription factor. Although the mouse-specific amino acid changes did not manifest functional impact in our system, several explanations may account for it (See Discussion part for the detail); 2) represented a first study of cis-regulation between two reproductively isolated species by using a novel allodiploid system; 3) demonstrated a higher conservation of transcriptional output than that of DNA binding, suggesting the evolvability/plasticity of the latter; 4) finally provided a rich data resource for Cdx2 mediated regulation, including gene expression, chromatin accessibility and DNA binding etc.


2021 ◽  
pp. jrheum.201594
Author(s):  
Tatiana Nevskaya ◽  
Janet E. Pope ◽  
Matthew A. Turk ◽  
Jenny Shu ◽  
April Marquardt ◽  
...  

Objective Systemic sclerosis (SSc) is a multisystem disease with heterogeneity in presentation and prognosis. An international collaboration to develop new SSc subset criteria is underway. Our objectives were to identify systems of SSc subset classification and synthesize novel concepts to inform development of new criteria. Methods Medline, Cochrane MEDLINE, CINAHL, EMBASE and Web of Science were searched from their inceptions to December 2019 for studies related to SSc sub-classification, limited to humans without language or sample size restrictions. Results Of 5686 citations, 102 articles reported original data on SSc subsets. Subset classification systems relied on extent of skin involvement and/or scleroderma-specific autoantibodies (n=61), nailfold capillary patterns (n=29), molecular, genomic and cellular patterns (n=12). While some systems of subset classification confer prognostic value for clinical phenotype, severity, and mortality; only subsetting by gene expression signatures in tissue samples has been associated with response to therapy. Conclusion Subsetting on extent of skin involvement remains important. Novel disease attributes including SSc-specific autoantibodies, nailfold capillary patterns and tissue gene expression signatures have been proposed as innovative means of SSc subsetting.


2014 ◽  
Vol 46 (12) ◽  
pp. 1258-1263 ◽  
Author(s):  
Nils J Fredriksson ◽  
Lars Ny ◽  
Jonas A Nilsson ◽  
Erik Larsson

2020 ◽  
Vol 16 (2) ◽  
pp. 4381-4393
Author(s):  
Senlin Ye ◽  
Haohui Wang ◽  
Kancheng He ◽  
Hongwei Shen ◽  
Mou Peng ◽  
...  

Aim: A gene set based systematic analysis strategy is used to investigate prostate tumors and its subclusters with focuses on similarities and differences of biological functions. Results: Dysregulation of methylation status, as well as RAS/RAF/ERK and PI3K-ATK signaling pathways, were found to be the most dramatic changes during prostate cancer tumorigenesis. Besides, neural and inflammation microenvironment is also significantly divergent between tumor and adjacent tissues. Insights of subclasses within prostate tumor cohorts revealed four different clusters with distinct gene expression patterns. We found that samples are mainly clustered by immune environments and proliferation traits. Conclusion: The findings of this article may help to advance the progress of identifying better diagnosis biomarkers and therapeutic targets.


2019 ◽  
Author(s):  
Qi-Lin Zhang ◽  
Ming-Long Yuan ◽  
Xian-Yu Deng ◽  
Jun Guo ◽  
Feng Wang ◽  
...  

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