Gene Manipulation Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, 769008, India.
Gene Manipulation Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, 769008, India.
Comput Biol Chem. 2018 Oct;76:302-309. doi: 10.1016/j.compbiolchem.2018.08.001. Epub 2018 Aug 11.
Germline stem cells (GSCs) are known to transmit genetic information from parents to offspring. These GSCs can undergo reprogramming to transform themselves into pluripotent stem cells, called as Multipotent adult Germline stem cells (maGSCs). The mechanism of the reprogramming of GSCs to maGSCs is elusive. To investigate novel factors that may govern the process of reprogramming, the RNA-seq data of both GSCs and maGSCs were retrieved and subjected to Tuxedo protocol using Galaxy server. Total 1558 differentially expressed genes were identified from the analysis. Protein sequence in the FASTA format of all 1558 differentially expressed genes was retrieved and submitted to Pluripred web server to predict whether the proteins were pluripotent or not. A total of 232 proteins were predicted as pluripotent, and to identify the novel proteins, these were submitted to STRING database to obtain an interaction map. The obtained interaction map was submitted to Cytoscape, and various apps such as MCODE and Centiscape were used to identify the clusters and centrality measures between the nodes of the generated network. Five clusters were identified and ranked according to their score. Novel pluripotent proteins like cadherin related cdh5, cdh10 were predicted. Phox2b, Nrp2, Dll1, Shh, Gbx2, Nodal, Lefty1, Wnt7b, Pitx2, fgf4, Pou5f1, Nanog, Tet1, trim8, alx2, Dppa2, Prdm14,Sox11, Esrrb were predicted to be involved in the stem cell development. Dppa2, Sox11, Sox2, Bmp4, Shh, and Otp were predicted to be involved in positive regulation of the stem cell proliferation. Pathway analysis further revealed that signaling pathways such as Wnt, Jak-Stat and PI3K may play important role in the pluripotency of the maGSCs. Novel proteins involved in pluripotency, which were predicted by our findings, can be experimentally researched in future.
生殖细胞干细胞 (GSCs) 是已知将遗传信息从父母传递给后代的细胞。这些 GSCs 可以经历重编程,转化为多能性干细胞,称为多能性成年生殖细胞干细胞 (maGSCs)。GSCs 重编程为 maGSCs 的机制尚不清楚。为了研究可能控制重编程过程的新因素,从 Galaxy 服务器使用 Tuxedo 协议检索了 GSCs 和 maGSCs 的 RNA-seq 数据。从分析中鉴定出 1558 个差异表达基因。以 FASTA 格式检索所有 1558 个差异表达基因的蛋白质序列,并将其提交给 Pluripred 网络服务器以预测蛋白质是否具有多能性。总共预测了 232 种蛋白质具有多能性,为了鉴定新的蛋白质,将这些蛋白质提交到 STRING 数据库以获得相互作用图。获得的相互作用图提交到 Cytoscape 中,并使用各种应用程序(如 MCODE 和 Centiscape)识别生成网络节点之间的簇和中心度度量。根据得分识别并排列了五个簇。预测了新的多能蛋白,如 cadherin related cdh5、cdh10。Phox2b、Nrp2、Dll1、Shh、Gbx2、Nodal、Lefty1、Wnt7b、Pitx2、fgf4、Pou5f1、Nanog、Tet1、trim8、alx2、Dppa2、Prdm14、Sox11、Esrrb 被预测参与干细胞发育。Dppa2、Sox11、Sox2、Bmp4、Shh 和 Otp 被预测参与干细胞增殖的正调控。通路分析进一步表明,Wnt、Jak-Stat 和 PI3K 等信号通路可能在 maGSCs 的多能性中发挥重要作用。我们的发现预测的新的多能性相关蛋白可以在未来进行实验研究。