Tuesday, September 30, 2014

Human genome was shaped by an evolutionary arms race with itself

New findings suggest that an evolutionary arms race between rival elements within the genomes of primates drove the evolution of complex regulatory networks that orchestrate the activity of genes in every cell of our bodies.
The arms race is between mobile DNA sequences known as "retrotransposons" (a.k.a. "jumping genes") and the genes that have evolved to control them. The identified genes in humans that make repressor proteins to shut down specific jumping genes. The researchers also traced the rapid evolution of the repressor genes in the primate lineage.
The primate genomes have undergone repeated episodes in which mutations in jumping genes allowed them to escape repression, which drove the evolution of new repressor genes, and so on. The findings suggest that repressor genes that originally evolved to shut down jumping genes have since come to play other regulatory roles in the genome.
Retrotransposons are thought to be remnants of ancient viruses that infected early animals and inserted their genes into the genome long before humans evolved. Now they can only replicate themselves within the genome. Depending on where a new copy gets inserted into the genome, a jumping event can disrupt normal genes and cause disease. Often the effect is neutral, simply adding to the overall size of the genome. Very rarely the effect might be advantageous, because the added DNA can itself be a source of new regulatory elements that enhance gene expression. But the high probability of deleterious effects means natural selection favors the evolution of mechanisms to prevent jumping events.
The jumping genes or "transposable elements" account for at least 50 percent of the human Genome and retrotransposons are by far the most common types. The expansion of this family of repressor genes occurred in response to waves of retrotransposon activity. Because repression of a jumping gene also affects genes located near it on the chromosome, the researchers suspect that these repressors have been co-opted for other gene-regulatory functions, and that those other functions have persisted and evolved long after the jumping genes the repressors originally turned off have degraded due to the accumulation of random mutations.
"The way this type of repressor works, part of it binds to a specific DNA sequence and part of it binds other proteins to recruit a whole complex of proteins that creates a repressive landscape in the genome. The idea that they are involved in repression of jumping genes is not new, previous studies by other researchers have shown that these proteins silence jumping genes in mouse embryonic stem cells. But until now, no one had been able to demonstrate that the same thing occurs in human cells.
The results demonstrated that two human proteins called ZNF91 and ZNF93 bind and repress two major classes of retrotransposons (known as SVA and L1PA) that are currently or recently active in primates. Analysis of primate genomes, including the reconstruction of ancestral genomes, which showed that ZNF91 underwent structural changes 8 to 12 million years ago that enabled it to repress SVA elements.

Experiments with ZNF 93, which shuts down L1PA retrotransposons, provided a striking illustration of the arms race between jumping genes and repressors. The researchers found that, while it is good at shutting down many L1PA elements, there is one subset of a recently evolved lineage of L1PA that has lost a short section of DNA that includes the ZNF93 binding site. Without the binding site, these jumping genes evade repression by ZNF93. Interestingly, when the researchers put the missing sequence back into one of these genes and put it in a mouse cell without ZNF93, they found that it was better at jumping. So even though the sequence helps with jumping activity, losing it gives the jumping gene an advantage in primates by allowing it to escape repression by ZNF93.

Monday, September 8, 2014

Advancements in Biotechnology

Biotechnology as the name indicates is the assemblage of technology in science of biology. Modern Biotechnology initiated with the discovery of double helical structure of the DNA. Subsequent investigation that helped in unraveling the process of inheritance pattern provided impetus to biotechnological research. It plays a key role in various areas, such as functional genomics, structural genomics, and proteomics. It soon becomes evident that by the use of suitable plasmid and bacteriophage vectors that transformation and transduction of foreign genes into heterologous hosts could be achieved. This led to the production of therapeutic proteins, transgenic plants and development of many novel vaccines. ­­There are many applications of Biotechnology such as development of various medicines, vaccines, increase of productivity, conservation and animal breeding, improvement of quality of seeds, insecticides and fertilizers.

Career in biotechnology: Biotechnologist can work in pharmaceutical companies, chemical, agriculture and allied industries, bio-processing industries, research laboratories run by the government as well as the corporate sector. Bioinformatics, an application of biotech and an interdisciplinary field that solves biological problems using computational techniques. When most people think of opportunities for careers in biotechnology, they think of a scientist in a white coat in a laboratory developing drugs to improve the quality of life. However, biotechnology has a wide variety of career opportunities ranging from sales and marketing, to research and development, to manufacturing and quality control and assurance. 

The biotechnology industry continues to flourish nationwide. Not only are the total number of biotechnology companies increasing, but employment in the biotechnology field continues to grow as well. The biotechnology industry is constantly growing; during the past 10 years the number of employees has increased by more than 90 percent! If you enjoy science, math, technology, investigating and solving problems, and making useful products, a career in biotechnology may be for you. Various biotechnology careers include forensic DNA analyst, scientist, clinical research associate job, laboratory assistant, microbiologist, greenhouse and field technician, bioinformatics specialist, animal caretaker and many more.

Biotech Department
BII Noida

“Global Bioinformatics Market: Industry Size, Trends and Forecast 2014-2018”


Global Industry Analysts Inc. (GIA) announces the release of a comprehensive global report on Bioinformatics markets. The global Bioinformatics market is forecast to reach US$6.8 billion by the year 2017. Principal factors driving market growth include significant development in the field of genomics and its ever-growing application in the research and development processes; breakthrough technologies in drug discovery initiatives; and the entry of new market players along with the growth in size and revenues of existing companies. Going forwards, the penetration of genomics in drug discovery is expected to increase further, which bodes tremendous market prospects for bioinformatics.

Research and Development Extent
Backed by significant developments in the area of genomics, there is increase in the overall volume of distinct biological data, which includes protein and gene sequences. This leaves an arduous task for R&D laboratories of analysis. Data management tools based on bioinformatics have helped companies in easing this task, thereby enhancing their productivity by way of identifying new biomarkers for toxicity and drug efficacy, diagnostic biomarkers as well as new drug targets. Bioinformatics help utilization of this gene and protein data and construct interactive models that aid in identifying disease pathways and effects of compounds. The penetration of genomics in drug discovery is expected to witness further growth, which bodes tremendous market prospects for bioinformatics. It is expected that more and more investments would be made by pharmaceutical companies in research and development initiatives, of which a major chunk would be towards bioinformatics. Concerns associated with patent expiries of several blockbuster drugs, shrinking product pipelines, and increasing drug development costs are driving pharma companies to seek help from biotechnology. Bioinformatics, being helpful at every stage of R&D processes in biotechnology and pharmaceutical sectors, offers increasing potential for future growth.
           
Market Reports Related to Applications in Bioinformatics

The market of bioinformatics report includes market dynamics and trends in order to give a thorough analysis of the overall competitive scenario in the global bioinformatics market. Thus, market overview section of the report demonstrates market dynamics and trends such as the drivers, restraints, and opportunities that influence the current nature and future status of bioinformatics market globally. Impact factors such as market attractiveness analysis (by geography), market share analysis by key players and Porter’s five forces (bargaining power of suppliers, bargaining power of buyers, threat of substitutes, threat of new entrants and competitive rivalry) analysis have also been explained in the market overview section of the report. Further, this report includes average selling price analysis (in terms of USD) and value chain analysis of bioinformatics market.

 The global bioinformatics market is classified on the basis of platforms, tools and services. Platforms segment includes market analysis of sequence manipulation platforms, sequence alignment platforms, sequence analysis platforms and structural analysis platforms. Tools segment includes market analysis of general knowledge management tools and specialized knowledge management tools. Services segment includes market analysis of sequencing services, database and management services, data analysis services and other services. A thorough market analysis and forecast for these segments has been provided in this study, in terms of market revenue (USD million) for the period 2012 to 2020. The report also provides compounded annual growth rate (CAGR %) for each segment type for the forecast period of 2014 to 2020, while market size estimations have been made considering 2013 as the base year.

Further, the global bioinformatics market is classified into application namely, preventive medicine, molecular medicine, gene therapy, drug development and others. The present and future market sizes (in terms of USD million) of the above mentioned application segments have been given in the report for the period of 2012- 2020 along with their compound annual growth rate (CAGR %) for the period 2014 to 2020. The study further provides recommendations which would be useful for the current and future market players to sustain and grow in the global bioinformatics market.

The report further includes market analysis of regional markets namely, North America, Europe, Asia-Pacific, and Rest of the World (RoW). A thorough market analysis and forecast for these regional markets has been provided in this study, in terms of market revenue (USD million) for the period 2012 to 2020. The report also provides the compounded annual growth rate (CAGR %) for each regional market for the forecast period of 2014 to 2020, while market size estimations have been made considering 2013 as the base year. 

Bioinformatics Companies Concern
Bioinformatics globally is a fairly concentrated market characterized by few large companies and several small players. About 55% of the companies are based in the US, while 30% are based in Europe. Major players profiled in the report include 3rd Millennium Inc., Accelrys Inc., Affymetrix Inc., Agilent Technologies, Celera Group, Gene Logic, Geneva Bioinformatics S.A, IBM Life Sciences, ID Business Solutions Ltd., Instem Scientific Limited (Formerly BioWisdom, Ltd.), Life Technologies Corp., Kinexus Bioinformatics Corp., Nonlinear Dynamics Ltd., among others. 

Bioinformatics Department
BII Noida

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