Proteomic Maps of the Cancer-Associated Infectious Agents

Abstract

The number of infectious agents associated with cancer is increasing. There is a need to develop approaches for the early detection of the infected host which might lead to tumor development. Recent advances in proteomic approaches provide that opportunity, and it is now possible to generate proteomic maps of cancer-associated infectious agents. Protein arrays, interaction maps, data archives, and biological assays are being developed to enable efficient and reliable protein identification and functional analysis. Herein, we discuss the current technologies and challenges in the field, and application of protein signatures in cancer detection and prevention.

Protein complexes associated with the Kaposi's sarcoma-associated herpesvirus-encoded LANA

“…Infectious agents that cause cancer are also known to persist for long periods in the host. How the host responds to the infectious agents and how the agent modulates this response is critical in allowing for its persistence, and may determine the risk of cancer (Srivastava, Verma, and Gopal-Srivastava, 2005). In addition, oncogenic viruses in many cases have learned to evade the immune system and such evasion strategies likely contribute to their oncogenic potential.…”

“…In addition, oncogenic viruses in many cases have learned to evade the immune system and such evasion strategies likely contribute to their oncogenic potential. Therefore, the immunobiology of persistent infections and in particular those that lead to cancer must be better understood (Srivastava, Verma, and Gopal-Srivastava, 2005). Studying viral-host protein interaction in infected cells can provide new information on these various strategies.…”

Synthesis, characterization and antibacterial evaluation of some novel derivatives of 2-bromomethyl-benzimidazole

“…N-C=N) Antimicrobial activity. The antibacterial activities of newly synthesized compounds were tested by paper disc diffusion method [23,24]. Using nutrient agar medium against following microorganism: Staphylococcus aureus, Bacillus subtilis, (Gram positive) and Escherichia coli, Pseudomonas aeruginosa (Gram negative).…”

A novel mixed integer programming for multi-biomarker panel identification by distinguishing malignant from benign colorectal tumors

“…Therefore, multi-biomarker panel has been intensively studied in recent years. It is a group of co-functional biomarkers and holds the great promise to early diagnosis of CRC [16][17][18][19].…”