Recent advances in next-generation sequencing technologies have heralded a paradigm shift in the field of precision oncology and personalized/genomic medicine, with a large number of somatic- and germline mutation-profiling programs worldwide. These programs have paved the way for personalized medicine in contrast to a unified approach that clearly fails in select individuals, conferring benefits to only a subset of patients. While these genomic analyses become increasingly accessible and almost commonplace to all research scientists, clinicians and molecular geneticists, they are faced with the challenging task of interpreting and translating the results from these analyses.

According to the American Cancer Society, an estimated 1.9 million new cancers will be diagnosed in 2022 [1]. Some of the major cancer types affecting the population are prostate, lung & bronchus, colon & rectum, urinary bladder, melanoma of the skin, kidney & renal pelvis, non-Hodgkin lymphoma, oral cavity & pharynx, leukemia, pancreas, breast, colon & rectum, uterine corpus, thyroid. Lung and Bronchus (21%) in both men and women, prostate in men (11%) and breast cancer (31%) in women are the majority cancer types causing death in the population [1]. Even though our understanding of cancer has broadened over the years it is still a major challenge to tackle across the globe. Widely accepted therapy forms for cancer includes biomarker identification and testing for treatment, chemotherapy, hormone therapy, immunotherapy, photodynamic therapy, radiation therapy, stem cell transplant, surgery, and targeted therapy. Immunotherapy (Table 1) is emerging as a forerunner among all the types of cancer therapies for the simple reason as it considers the various dynamics of immune function in an individual. Genomics has played a key role in enabling the identification of therapeutically actionable targets and in guiding the use of immunotherapy.

Next-generation sequencing techniques has seen an unimaginable growth in the past two decades. The scope has really broadened, and it is now possible to look at a genome both at macro and micro levels. Single-Cell RNA sequencing (scRNA-seq) is one such technique which deals with understanding the transcriptome at a cellular level. Single cell RNA sequencing can provide unparalleled insights into the various cellular events. scRNA-seq has an advantage over the bulk RNA-seq studies since it provides higher resolution in terms of cell subsets diversity and individual cell heterogeneity in the organisms.

The human immune response can be divided into two components: Innate and Adaptive. Innate immune response involves classic primitive reaction through cellular and humoral mechanisms. It’s a first line of defence and can comprise a host of cells such as neutrophils, macrophages, and mast cells which kills the invading pathogens while the humoral response can be through enzymes such as Lysozyme that can kill harmful microorganisms.

Single-cell genomic analysis has emerged as a powerful method for studying complex disease. By providing comprehensive analyses of individual cells, single-cell sequencing allows researchers to examine cellular heterogeneity, which especially useful in oncology, neurology, immunology, and developmental research.

February 28th is Rare Disease Day. It is a day where the realities of Rare Diseases need to be highlighted for all health industry stakeholders; to celebrate the progress that has been made as well as to inspire us for the challenges that lay ahead.

World Cancer Day is a day to reflect and celebrate research victories, the battles that anyone with cancer fights, the search for new ways to detect cancer early and treat it as effectively as possible. Yet, cancer statistics remain sobering. Globally, there were an estimated 19.3 million new cancer cases and 10 million cancer deaths in 2020i. The number of people living with cancer is expected to grow by around 1 million every decade between 2010 and 2030ii.

Spatial transcriptomics is a revolutionary molecular profiling method that allows scientists to measure in a tissue sample and map the activity to specific cell types and their location. This novel technology is paving the path to new discoveries that are proving instrumental in helping researchers gain a better understanding of biological processes and diseases leading it to be called the Method of the Year in 2020.

It is known that all the hereditary information is contained within an organism’s genome. Owing to continuous global efforts many new bioinformatics databases are emerging and has seen an up trend in the recent past, a reflection on how NGS data is impacting our understanding of life and our need to constantly develop new methods to investigate and decode the information in and around DNA (or RNA for some viruses) and its nucleotide sequences.

With the advent of novel Next generation sequencing (NGS) technology platforms – DNA Sequencing has seen a revolutionary leap both in terms of cost and application in cutting-edge research.. Today, we can sequence an entire Human genome in a day compared to the conventional Sanger sequencing using capillary electrophoresis. It is now possible to identify and track genetic variation in a more efficient and precise manner. Also, owing to this seamless sequencing capability now thousands of variants can be analysed within a large population in a short span of time.