This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
During the process of transformation from a normal cell into a cancer cell, a cell acquires a series of changes, or mutations, in its DNA. But DNA mutations can also result in changes to the proteins that are displayed on the surface of the cancer cell. These mutations are called clonal mutations or clonal neoantigens.
These factors are converging to enable both identification of novel infectious diseases as well as microbial resistance, before these threats can impact public health, write a team from the European Society for Clinical Microbiology and Infectious Diseases in Frontiers in Science. COVID clearly caught us off guard.
Allison Berke makes the case for real-time DNA sequencing and AI tools to detect pathogens before they spread widely. Doctors in training are told that when they hear hoofbeats, they should think horses, not zebras; rare diseases are the exception, not the rule. After copying the DNA to form a big pool, each piece is sequenced.
Credit: Allison Colorado, Broad Communications Arriving in the Bay Area after a childhood in increasingly diverse surroundings, Martin became acutely aware of health disparities and the profound differences in disease prevalence among different populations. I wanted to know how I could have any impact on studying genetic diversity.”
The study suggests that this regulatory system could be a potential target for future malaria treatments, offering hope for combatting this deadly disease that affects millions worldwide. The first identification was based on a bioinformatic analysis.
With a background in Bioinformatics and Computational Biology, she has a keen interest in using technology to solve problems in healthcare and medicine. Bioinformatics is all about bringing together different areas of knowledge.
We look forward to working with Twist on molecular targets in a broad range of disease areas,” added Wood. By leveraging our unique ability to manufacture DNA at scale, we can construct proprietary antibody libraries precisely designed to match sequences that occur in the human body. Wood, Ph.D., Leproust, Ph.D., About Twist Biopharma.
Among others, NGS has led to the identification of disease-causing variants and novel drug targets and an improved understanding of complex biological events, e.g., the heterogeneity of tumors. 2022) recommend matching interventions to specific patient characteristics should be implemented early in the disease course. Fountzilas et al.
3/ Prime Editing Spree Prime editors can change DNA in ways that Cas9 — and even base editors — cannot. Known as a "search-and-replace" gene-editing tool, prime editors can delete or replace DNA up to 10,000 bases in length, or substitute one base for another. Read more in Cell. ( #1 , #2 ) (Video credit: Gong Y.
3/ Prime Editing Spree Prime editors can change DNA in ways that Cas9 — and even base editors — cannot. Known as a "search-and-replace" gene-editing tool, prime editors can delete or replace DNA up to 10,000 bases in length, or substitute one base for another. Read more in Cell. ( #1 , #2 ) (Video credit: Gong Y.
In 2015, Methuselah Health was founded to investigate the role of proteome instability during ageing, and the extent to which the instability of specific proteins might underlie development of age-related diseases – a concept that arose from the ground-breaking work of Professor Miro Radman (which DrugBaron highlighted previously).
Professor of Medicine, Section of Infectious Diseases and Global Health and director of the Duchossois Family Institute at the University of Chicago, has joined its scientific advisory board. His research focuses on the role of the microbiome in immune defense and disease resistance. “We Diversigen, Inc.
By Tracy Hampton August 4, 2022 Credit: National Institutes of Allergy and Infectious Diseases, National Institutes of Health Colorized scanning electron micrograph of a B cell lymphocyte from a human donor.
Maybe we need to treat the host rather than the cell or the disease. I actually think neuroscience is going to heat up in 2021,” said Ben Zeskind , co-founder and CEO of Immuneering , which is using bioinformatics and computational biology to develop new drugs in this space, along with oncology and immuno-oncology.
Tessa Alexanian and Max Langenkamp build computational DNA screening tools for a living. A concerned employee at a laboratory supply company had called the Centers for Disease Control, or CDC, after fielding repeated calls from Harris asking when his samples of plague would arrive in the mail. This article concludes our mini-issue.
Short DNA strands were discovered that can specifically and tightly bind to zinc and cadmium ions. Perhaps there is now a way to use DNA to extract metals: You could fuse the DNA strands to an antibody, coat them onto electronics, and then use a column to isolate the DNA:metal compounds? BMC Bioinformatics. Mansilla S.F.
Drug Discovery Today: Disease Models (2008). Technologies DNA Sequencing →DNA sequencing at 40: past, present and future , by Shendure J. Link DNA Cost and Productivity Data, aka "Carlson Curves" , by Carlson R. Link Next-Generation DNA Sequencing Methods , by Mardis E.R. Artificial Life (2018). PNAS (2013).
Drug Discovery Today: Disease Models (2008). Technologies DNA Sequencing →DNA sequencing at 40: past, present and future , by Shendure J. Link DNA Cost and Productivity Data, aka "Carlson Curves" , by Carlson R. Link Next-Generation DNA Sequencing Methods , by Mardis E.R. Artificial Life (2018). PNAS (2013).
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content