CRISPR-based genome engineering revolutionized the gene editing field by making experimental workflows considerably easier, faster, and more efficient than previous methods. Still, generating reliable results from CRISPR edit data requires the help of robust software tools. As a consequence, a critical step in the gene editing workflow – analyzing the data – is often under-appreciated or over-looked.
Synthego has developed a new tool called ICE (short for Inference of CRISPR Edits) to make analyzing CRISPR experiments easier than ever. This tool was initially created to support the CRISPR analysis needs of Synthego’s scientists – there were simply no other suitable software tools available. We conducted thousands of CRISPR experiments and took what we learned from analyzing the results to build the ICE analysis tool. It’s now free for everyone to use at ice.synthego.com.
2012 saw the original Avengers movie release, three years later we were treated with Avengers: Age of Ultron, and later this month we will finally see the third installment of the franchise; Avengers: Infinity War.
Another Avengers movie means another world-shattering conflict, and another appearance of everyone’s quick-witted Romeo, Tony Stark. Strangely, Tony Stark, a.k.a. Iron Man, has not been the focus of fans in the run-up to the movie’s premiere. Hawkeye has become the most talked about character from the fans’ perspective.
Human obsession with hybrid animals dates back centuries. The mythological chimera, for instance, was a ferocious fire-breathing animal that was part lion, part goat, and part snake. Although we are not creating such hybrid monsters in the lab, the importance of introducing foreign genes in animals for the benefit of mankind has not gone unrecognized.
Transgenic animals possess foreign genetic material incorporated in their genome. These genomic manipulations often produce physical traits in the animals that are normally absent. The applications of transgenic animals were initially limited to model systems for understanding human diseases and developing novel therapeutics, but researchers soon realized their potential in the food and biomaterials industries, giving further impetus to genome engineering research.
The social media bubble has not only engulfed our personal lives in recent times, but has also emerged as a strong tool for scientific broadcasting. Several social media outlets, especially Twitter, are now being recognized as legitimate platforms for science news and outreach. We have shortlisted the top 10 Twitter accounts that tweet amazing content about your favorite topic: #CRISPR.
The best podcasts covering CRISPR that we could find. From beginners to seasoned researchers, there’s a podcast for everyone. With a multitude of guests and viewpoints, this list contains everything you need to know about CRISPR technology.
In 1987, scientists discovered for the first time that bacterial genomes bear palindromic sequences, whose function was a mystery at the time. Little did they know that their study would set in motion a series of studies over the next two decades, eventually leading to the discovery of one of the most efficient genome editing technologies. In 2007, a group of scientists deduced that these Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) were a part of the bacterial immune mechanism. In a nutshell, the CRISPR system, comprising of an RNA, specific to the DNA sequence to be cleaved, and a nuclease that actually cleaves the DNA, protects the bacteria from viral infections.
In 2012, scientists extended the applications of the CRISPR technology by reprogramming the RNA to cleave any DNA sequence, marking the beginning of an era of using CRISPR as a tool for targeted genome engineering. Over the next few years, as the applications of CRISPR technology grew, so did its popularity. But as CRISPR became a well-known term beyond labs, some people wondered if the technique was really as important scientifically to justify the hype around it, while others weighed the benefits against the risks, concerned that we are heading down a dangerous path that might be irreversible.
CRISPR-based genome engineering makes gene editing much easier, faster, and efficient than previous methods. However, achieving results you can trust requires using robust software and molecular biology tools. Analysis of CRISPR edits after each experiment is an absolutely critical step in the gene editing workflow. CRISPR editing analysis is sometimes underappreciated, overlooked, and performed incorrectly since there were previously not many software tools available to make this process easy for researchers.
The CRISPR revolution triggered a drastic increase in genome engineering-based applications across several research areas in the last few years. Considering the booming popularity of CRISPR, last year, we took a shot at predicting the major advances in CRISPR in 2017. Now, as we turn the page on last year and welcome 2018, it’s time to review how our last year’s predictions fared. Did CRISPR live up to our expectations from last year? Read on to find out.