Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas

生物 基因 信号转导 微阵列分析技术 细胞周期 癌基因 微阵列 遗传学 分子医学 计算生物学 基因表达
作者
Cristian Mircean,Ioan Tăbuş,Tohru Kobayashi,Motoko Yamaguchi,Hiroshi Shiku,Ilya Shmulevich,Wei Zhang
出处
期刊:International Journal of Oncology [Spandidos Publishing]
卷期号:24 (3): 497-504 被引量:7
标识
DOI:10.3892/ijo.24.3.497
摘要

Recent clinicopathological studies identified a unique subgroup of diffuse large B-cell lymphoma (DLBCL) that expresses CD5 on the cell surface. This 'de novo CD5+ DLBCL' comprises 10% of all DLBCL and has a poorer prognosis than CD5- DLBCL. Comparison of gene expression profiles between de novo CD5+ DLBCLs and CD5- DLBCLs shows that de novo CD5+ DLBCL expresses high levels of integrin beta1 in tumor cells and CD36 in the vascular cells. On the other hand, comparison between mantle cell lymphomas (MCLs) and DLBCLs expectedly identified cyclin D1 as a top feature gene. To gain insight into the molecular pathway differences among the three types of lymphoma, we evaluated the functional categories of groups of genes important for the discrimination among the three groups. We first selected 280 (from 2,142) genes, according to their individual discriminatory power. We then used the gene-shaving clustering algorithm and identified 22 clusters of genes. Of the 22 clusters, six were highly correlated with the class labels of the patients and the top three clusters accounted for the major difference among the three lymphoma subtypes. A multidimensional scaling (MDS) analysis using the average genes from the top three clusters separated the three lymphoma subtypes quite well. The functions of the genes in the top three gene clusters showed a significant enrichment of metabolism and signal transduction. To further examine whether genes of particular functions reflect more faithfully the difference between the subtypes of lymphomas, we separated the 280 informative genes into six different functional groups and performed MDS analysis using each of the gene groups. Four of the gene-function groups (metabolism, signal transduction pathway, transcriptional factors, cell adhesion and migration), separated the three lymphoma subtypes well, whereas apoptosis genes and cell cycle genes did not result in good separation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
2秒前
Fan发布了新的文献求助10
2秒前
wang发布了新的文献求助10
2秒前
Akim的应助被蔡继海采纳,获得10
4秒前
QZF完成签到,获得积分10
5秒前
超级巧曼发布了新的文献求助10
5秒前
lidm完成签到,获得积分10
5秒前
小熊饼干完成签到,获得积分10
6秒前
英姑的应助被俭朴的小蕾采纳,获得10
6秒前
Jacky举报xiao的求助涉嫌违规
7秒前
8秒前
安详的灰狼的应助被He采纳,获得10
8秒前
8秒前
凡松的应助被zht采纳,获得70
8秒前
所所的应助被Xc采纳,获得10
9秒前
Hans完成签到,获得积分20
9秒前
ekswai完成签到,获得积分10
10秒前
10秒前
11秒前
Peter完成签到,获得积分20
11秒前
调皮的孤风完成签到 ,获得积分10
11秒前
12秒前
12秒前
13秒前
稳重元菱发布了新的文献求助10
14秒前
Hans发布了新的文献求助10
14秒前
14秒前
14秒前
exosome发布了新的文献求助10
15秒前
共享精神的应助被李佳莹采纳,获得10
16秒前
16秒前
wg发布了新的文献求助10
16秒前
库里发布了新的文献求助10
16秒前
16秒前
17秒前
hy完成签到,获得积分10
18秒前
蔡继海发布了新的文献求助10
18秒前
18秒前
ZN发布了新的文献求助10
19秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Fortepian Chopina 400
A Silent Apostrophe:The Fayum Portraits 310
四川大学学位论文.郭瑞昂. 基于高压热扩散的n型磷掺杂金刚石半导体制备研究 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7831286
求助须知:如何正确求助?哪些是违规求助? 9355707
关于积分的说明 20584810
捐赠科研通 7424025
什么是DOI,文献DOI怎么找? 3336669
关于科研通互助平台的介绍 2481212
邀请新用户注册赠送积分活动 2357315