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Data Analytics: A Groundbreaking Technology in Biotech

Kutubkhan Bohari | July 20, 2022 | 1322 views | Read Time : 26:53 min

Data Analytics
Biotechnology is a vast discipline of biology that employs diverse biological systems to create solutions that can significantly alter the ways in which they operate across various domains. That said, biotechnology is not a new notion. It has existed for millennia, with ancient civilizations using its earliest incarnations to cultivate crops and create alcoholic beverages.

Today, the biotechnology industry has developed by leaps and bounds and has amassed a vast quantity of scientific data through study and research. Given the importance of data in the biotechnology business, it is not difficult to understand why biotech companies utilize data analytics.  

Modern data analytics tools have made it possible for researchers in the biotech industry to build predictive analytics models and gain knowledge about the most efficient approaches to accomplish their desired goals and objectives. Data analytics is increasingly being adopted by biotech businesses to better understand their industry and foresee any problems down the road.

How is Data Analytics Revolutionizing Fields in Biotechnology?

Today's business and scientific fields greatly benefit from data. Without the analysis of vast information libraries that provide new insights and enable new innovations, no industry can really advance. Being highly reliant on big data analytics, biotech is not an exception in this regard.

With the tools and methods that help scientists systematize their findings and speed up their research for better and safer results, data analytics is making deeper inroads into the biotechnology industry. It is emerging as a crucial link between knowledge and information and is extensively being used for purposes other than just examining the information that is already available. The following are a few of the cutting-edge biotechnology applications of data analytics

  • Genomics and Disease Treatment
  • Pharmaceutical Drug Discovery
  • Drug Recycling and Safety
  • Agriculture and Agri-products
  • Environmental Damage Mitigation

Data Analytics Possibilities in Biotechnology

With data analytics becoming an integral part of how biotech businesses operate, biotechnologists and related stakeholders need to understand its emergence and crucial role.

Data analytics has opened new frontiers in the realm of biotechnology. Thanks to developments in data analytics, research and development activities that once took years may now be accomplished in a matter of months. Also, now scientists have access to biological, social, and environmental insights that can be exploited to create more effective and sustainable products.

By understanding the importance of data-related tools and techniques applications, biotech companies are aiming to invest in the popularizing technology to stay updated in the fast-paced biotechnology industry.

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The most complete family of integrated multi-disciplinary genetic testing services, with state-of-the-art laboratory and capabilities. Gene by Gene, through its division Family Tree DNA was the first company in the world to develop DNA testing for ancestry and genealogical purposes as a commercial application. Prior to the company’s initiative, these tests were only available for academic and research purposes. Because of this innovation, it was selected by the National Geographic Society and its partner, IBM, to provide the testing and manage all public participation in the Genographic Project. Initially, the Arizona Research Labs at The University of Arizona performed all testing. In 2006, Gene by Gene established a state-of-the-art Genomics Research Center at its headquarters in Houston, Texas, where it currently performs R&D and processes over 200 types of DNA tests for its customers, ranging from individuals to physicians, hospitals, universities and research institutions.

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In today’s biotechnology landscape, to be competitive, meet regulations, and achieve market demands, “we must apply Bioprocessing 4.0,” said Igor Fisch, PhD, CEO, Selexis. In fact, in the last decade, “Selexis has evolved from cloning by limiting dilution to automated cell selection to nanofluidic chips and from monoclonality assessment by statistical calculation to proprietary bioinformatic analysis,” he added. Single-use processing systems are an expanding part of the biomanufacturing world; as such, they are a major component of Bioprocessing 4.0. “At Selexis, we use single use throughout our cell line development workflow. Currently, we have incorporated single-use automated bioprocessing systems such as ambr® and the Beacon® optofluidic platform for accelerated cell line development. By using these systems and optimizing our parameters, we were able to achieve high titers in shake flasks. Additionally, the Beacon systems integrate miniaturized cell culture with high-throughput liquid handling automation and cell imaging. This allows us to control, adjust, and monitor programs at the same time,” noted Fisch.

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The research team, including co-first authors of The Lancet study, Dr. Valentin Goutaudier and Dr. Alessia Giarraputto characterized the human immune response to the porcine kidney using bulk tissue transcriptome profiling on the nCounter Analysis System. Scientists used the nCounter Human Organ Transplant Panel, a process NanoString developed with the Banff International Classification Consortium. It is used by nearly one hundred global research institutions. The panel was adapted to xenotransplants by using bioinformatics-based pig and human gene sequences with homologies alignment. This analysis revealed a molecular architecture of antibody-mediated rejection, including interferon-gamma response, endothelial activation, macrophage activation, and injury repair response in the xenografts. The GeoMx Digital Spatial Profiler was used next to isolate the immune response to specific regions of the kidney. The GeoMx Whole Transcriptome Assay revealed that antibody-mediated injury was mainly located in the glomeruli of xenografts, with significant enrichment of transcripts associated with monocytes, macrophages, neutrophils, and NK cells. Drs. Loupy and Montgomery say their findings represent a treasure trove of new information for optimizing genetically modified pig models that may be useful in developing more advanced immunosuppressive treatments for future recipients of xenografts. “An estimated 100,000 people are waiting for organ transplants in the United States. Thousands die on the wait list. Numbers like these drive us at NanoString to provide researchers with the tools they need to find innovative solutions to solve extraordinary medical challenges,” commented Brad Gray, President and CEO of NanoString. “We congratulate Dr. Loupy and his extended team on their findings and celebrate the on-going successful studies in humans.” About NanoString Technologies, Inc. NanoString Technologies, is a leader in spatial biology, offers an ecosystem of innovative discovery and translational research solutions, empowering our customers to map the universe of biology. The GeoMx® Digital Spatial Profiler is a flexible and consistent solution combining the power of whole tissue imaging with gene expression and protein data for spatial whole transcriptomics and proteomics. The CosMx™ Spatial Molecular Imager is a single-cell imaging platform powered by spatial multiomics enabling researchers to map single cells in their native environments to extract deep biological insights and novel discoveries from one experiment. The AtoMx™ Spatial Informatics Platform is a cloud-based informatics solution with advanced analytics and global collaboration capabilities, enabling powerful spatial biology insights anytime, anywhere. 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Read More

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AbCellera Expands Multi-Target Antibody Discovery Collaboration with Regeneron

businesswire | September 21, 2023

AbCellera announced that it has expanded its existing multi-target collaboration with Regeneron to discover therapeutic antibodies for up to eight targets selected by Regeneron, increased from the original four. “Having successfully delivered on two challenging discovery campaigns under the original agreement, we are excited to expand the scope of our collaboration with Regeneron to include up to four additional targets,” said Carl Hansen, Ph.D., founder and CEO of AbCellera. “We look forward to using our antibody discovery and development engine to bolster Regeneron’s preclinical portfolio and help identify promising candidates for their programs.” The collaboration, which began in March 2020, leverages AbCellera’s antibody discovery engine and Regeneron’s VelocImmune® mice to identify novel therapeutic antibodies. AbCellera has initiated programs for all four of the original targets, with Regeneron exercising its rights to advance antibody candidates into further preclinical development for the two programs that have been completed. Under the terms of the agreement, Regeneron has the right to develop and commercialize therapeutic antibodies resulting from the collaboration. AbCellera receives research payments and is eligible to receive downstream clinical and regulatory milestone payments and royalties on net sales of products. About AbCellera Biologics Inc. AbCellera is breaking the barriers of conventional antibody drug discovery to bring better medicines to patients, sooner. AbCellera’s engine integrates expert teams, technology, and facilities with the data science and automation needed to propel antibody-based medicines from target to clinic in nearly every therapeutic area with precision and speed. AbCellera provides innovative biotechs and leading pharmaceutical companies with a competitive advantage that empowers them to move quickly, reduce cost, and tackle the toughest problems in drug development.

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