Ask about this productRelated genes to: PWP2 antibody
- Gene:
- PWP2 NIH gene
- Name:
- PWP2 small subunit processome component
- Previous symbol:
- PWP2H
- Synonyms:
- EHOC-17, UTP1
- Chromosome:
- 21q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 1996-04-17
- Date modifiied:
- 2019-01-25
Related products to: PWP2 antibody
Related articles to: PWP2 antibody
- Microcephaly is caused by reduced brain volume and most usually associated with a variety of neurodevelopmental disorders (NDDs). To provide an overview of the diagnostic yield of whole exome sequencing (WES) and promote novel candidates in genetically unsolved families, we studied the clinical and genetic landscape of an unselected Chinese cohort of patients with microcephaly. - Source: PubMed
Publication date: 2023/07/27
Wang ChunliZhou WeiZhang LuyanFu LuhanShi WeiQing YanLu FenTang JianGao XiuchengZhang AihuaJia ZhanjunZhang YueZhao XiaokeZheng Bixia - RNA processing converts primary transcript RNA into mature RNA. Altered RNA processing drives tumor initiation and maintenance, and may generate novel therapeutic opportunities. However, the role of RNA processing factors in gastric cancer (GC) has not been clearly elucidated. This study presents a comprehensive analysis exploring the clinical, molecular, immune, and drug response features underlying the RNA processing factors in GC. This study included 1079 GC cases from The Cancer Genome Atlas (TCGA, training set), our hospital cohort, and two other external validation sets (GSE15459, GSE62254). We developed an RNA processing-related prognostic signature using Cox regression with the least absolute shrinkage and selection operator (LASSO) penalty. The prognostic value of the signature was evaluated using a multiple-method approach. The genetic variants, pathway activation, immune heterogeneity, drug response, and splicing features associated with the risk signature were explored using bioinformatics methods. Among the tested 819 RNA processing genes, we identified five distinct RNA processing patterns with specific clinical outcomes and biological features. A 10-gene RNA processing-related prognostic signature, involving , , , , , , , , , and , was further identified. The signature was a powerful and robust prognosis factor in both the training and validation datasets. Notably, it could stratify the survival of patients with GC in specific tumor-node-metastasis (TNM) classification subgroups. We constructed a composite prognostic nomogram to facilitate clinical practice by integrating this signature with other clinical variables (TNM stage, age). Patients with low-risk scores were characterized with good clinical outcomes, proliferation, and metabolism hallmarks. Conversely, poor clinical outcome, invasion, and metastasis hallmarks were enriched in the high-risk group. The RNA processing signature was also involved in tumor microenvironment reprogramming and regulating alternative splicing, causing different drug response features between the two risk groups. The low-risk subgroup was characterized by high genomic instability, high alternative splicing and might benefit from the immunotherapy. Our findings highlight the prognostic value of RNA processing factors for patients with GC and provide insights into the specific clinical and molecular features underlying the RNA processing-related signature, which may be important for patient management and targeting treatment. - Source: PubMed
Publication date: 2021/08/03
Lou ShenghanMeng FanzhengYin XinZhang YaoHan BanglingXue Yingwei - As a CRISPR-Cas9-based tool to help scientists to investigate gene functions, Cancer Dependency Map genes (CDMs) include an enormous series of loss-of-function screens based on genome-scale RNAi. These genes participate in regulating survival and growth of tumor cells, which suggests their potential as novel therapeutic targets for malignant tumors. By far, studies on the roles of CDMs in gastric adenocarcinoma (GA) are scarce and only a small fraction of CDMs have been investigated. In the present study, datasets of the differentially expressed genes (DEGs) were extracted from the TCGA-based (The Cancer Genome Atlas) GEPIA database, from which differentially expressed CDMs were determined. Functions and prognostic significance of these verified CDMs were evaluated using a series of bioinformatics methods. In all, 246 differentially expressed CDMs were determined, with 147 upregulated and 99 downregulated. Ten CDMs (ALG8, ATRIP, CCT6A, CFDP1, CINP, MED18, METTL1, ORC1, TANGO6, and PWP2) were identified to be prognosis-related and subsequently a prognosis model based on these ten CDMs was constructed. In comparison with that of patients with low risk in TCGA training, testing and GSE84437 cohort, overall survival (OS) of patients with high risk was significantly worse. It was then subsequently demonstrated that for this prognostic model, area under the ROC (receiver operating characteristic) curve was 0.771 and 0.697 for TCGA training and testing cohort respectively, justifying its reliability in predicting survival of GA patients. With the ten identified CDMs, we then constructed a nomogram to generate a clinically practical model. The regulatory networks and functions of the ten CDMs were then explored, the results of which demonstrated that as the gene significantly associated with survival of GA patients and Hazard ratio (HR), PWP2 promoted invasion and migration of GA cell lines through the EMT signaling pathway. Therefore, in conclusion, the present study might help understand the prognostic significance and molecular functions of CDMs in GA. - Source: PubMed
Publication date: 2021/02/25
Zhou WenjieLi JunqingLu XiaofangLiu FangjieAn TailaiXiao XingKuo Zi ChongWu WenhuiHe Yulong - To study the biomarkers for human coronary artery endothelial cell (HCAEC) injury induced by Kawasaki disease (KD) using isobaric tags for relative and absolute quantitation (iTRAQ) proteomics. - Source: PubMed
Guo XinLiu CongWang Guo-BingXu Ming-Guo - This study was to investigate the circular RNA (circRNA) expression profile and the potential circRNAs as biomarkers and therapeutic targets for acute myeloid leukaemia (AML). CircRNA expression profile in bone marrow mononuclear cells from 5 AML patients and 5 healthy donor controls (HCs) was evaluated by microarray. Then, 10 candidate circRNAs (top 5 upregulated and top 5 downregulated) from microarray were validated by RT-qPCR in 130 AML patients and 50 HCs. Finally, the effects of circRNA annexin A2 (circ-ANXA2) knockdown on cell proliferation, apoptosis, chemosensitivity to cytarabine, daunorbicin and potential target microRNAs were assessed in THP-1 and KG-1 cells. By microarray, 173 upregulated and 181 downregulated circRNAs were found in AML patients than HCs, and these circRNAs were found in AML patients compared with HCs, and these circRNAs were implicated in AML-related pathways such as ErbB and EGFR pathways. By RT-qPCR, 9 of 10 candidate circRNAs (including circ-RPS6KB1, circ-CSMD2, circ-PTK2, circ-ANXA2, circ-PWP2, circ-RBM5, circ-ZZEF1, circ-GSK3B and circ-FOXP1) were dysregulated in AML patients compared with HCs. Circ-ANXA2 correlated with higher disease risk, poor risk stratification, lower complete remission level, shorter event-free survival and overall survival in AML. In cellular experiments, circ-ANXA2 was upregulated in AML cell lines, and its knockdown suppressed proliferation, enhanced apoptosis of THP-1 and KG-1 cells and increased their chemosensitivity to cytarabine and daunorbicin. Additionally, circ-ANXA2 knockdown promoted microRNA (miR)-23a-5p and miR-503-3p expression in THP-1 and KG-1 cells. In conclusion, our findings provide a macroscopic view of the circRNA expression profile in AML, and demonstrate that circ-ANXA2 may be a potential biomarker and therapeutic target for AML. - Source: PubMed
Publication date: 2020/05/15
Ding YiDong YanLu HuinaLuo XiuFu JianfeiXiu BingLiang AibinZhang Wenjun