Association analysis of serotonin transporter gene polymorphism among the South-Indian migraineurs.

Migraine is a multifactorial neurological disorder characterized by frequent moderate to severe intensity headaches. The genetic variations in synaptic and post-receptor signalling proteins have direct effect on the process of serotonergic neurotransmission. We aimed to investigate the genetic association of serotonin transporter (SERT) 5-hydroxytryptamine transporter-linked promoter region (5-HTTLPR) polymorphism and migraine risk in South-Indian population.

2D-DIGE-Based Proteomic Profiling with Validations Identifies Vimentin as a Secretory Biomarker Useful for Early Detection and Poor Prognosis in Oral Cancers.

Oral tongue squamous cell carcinoma (OTSCC) is an aggressive cancer with high morbidity and mortality rates, despite multimodality management. There are currently no clinically relevant molecular markers that identify patients at higher risk of recurrence and failure. We undertook 2D-DIGE proteomic profiling to study the differentially expressed proteins in OTSCC evaluating their role in prognosis.

Exome Sequencing with Validations and Expression of p16/CDKN2A Shows no Association with HPV in Oral Cancers.

Purpose: Despite many studies attributing HPV infection to oropharyngeal tumorigenesis, its involvement in non-oropharyngeal cancers is ambiguous. We have evaluated the mutation profile of p16 along with protein expression and correlated it with the HPV status in oral cancers.

Methods: Somatic mutations in p16 were studied by exome sequencing (n=25) and validated by Sequenom Mass spectrometry (n=50).

Genetic predisposition of gene polymorphism in South-Indian Migraineurs and meta-analysis.

Migraine (Mg) is a multifaceted neurovascular disorder caused by genetic and several environmental etiologies. We have implemented a case-control study of gene polymorphism in 212 Mg patients and 218 healthy controls utilizing the ARMS-PCR technique, followed by Sanger sequencing. Besides, we have conducted a meta-analysis of different genetic models (five genetic models) to combine and summarize the available data from 11 studies (including this present research).