Lifeboat Foundation

Scientists at the Leibniz Institute of Plant Biochemistry (IPB) have succeeded for the first time in stably and precisely inserting large gene segments into the DNA of higher plants very efficiently. To do this, they optimized the gene-editing method CRISPR/Cas, commonly known as “genetic scissors.”

The improved CRISPR method offers great opportunities for the targeted modification of genes in higher plants, both for breeding and research. The study, led by Prof. Alain Tissier and Dr. Tom Schreiber, has been published in Molecular Plant.

CRISPR/Cas is a method with enormous potential for the targeted modification of individual genes. However, this does not apply to all kinds of genetic modifications that breeders and scientists have on their wish lists. While the genetic scissors are ideal for knocking out genes, i.e., switching off or removing existing genes, they do not work well for precisely inserting genes or replacing gene segments. To date, genetic scissors have been too inefficient and therefore of little use for the targeted insertion of genes into the DNA of higher plants.

Paralog synthetic lethals have been assessed with multiple CRISPR-based methods, but systematic comparison among these platforms is unavailable. Here, the authors systematically compare combinatorial perturbation platforms and establish the in4mer CRISPR/Cas12a multiplex knockout platform.

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A recent study published in the journal Nature by an international team of 279 scientists, including three biologists from the University of Michigan, provides the latest insights into the flowering plant tree of life.

Using 1.8 billion letters of genetic code from more than 9,500 species covering almost 8,000 known flowering plant genera (ca. 60%), this achievement sheds new light on the evolutionary history of flowering plants and their rise to ecological dominance on Earth.

Led by scientists at the Royal Botanic Gardens, Kew, the research team believes the data will aid future attempts to identify new species, refine plant classification, uncover new medicinal compounds, and conserve plants in the face of climate change and biodiversity loss.

Single-cell multiplexing techniques (cell hashing and genetic multiplexing) combine multiple samples, optimizing sample processing and reducing costs. Cell hashing conjugates antibody-tags or chemical-oligonucleotides to cell membranes, while genetic multiplexing allows to mix genetically diverse samples and relies on aggregation of RNA reads at known genomic coordinates. We develop hadge (hashing deconvolution combined with genotype information), a Nextflow pipeline that combines 12 methods to perform both hashing-and genotype-based deconvolution. We propose a joint deconvolution strategy combining best-performing methods and demonstrate how this approach leads to the recovery of previously discarded cells in a nuclei hashing of fresh-frozen brain tissue.

MEDIA ADVISORY: An international team of researchers, led by NCI scientists, has identified 50 new areas across the human genome that are associated with the risk of developing kidney cancer.

In a new analysis of genetic susceptibility to kidney cancer, an international team of researchers has identified 50 new areas across the genome that are associated with the risk of developing kidney cancer. These insights could one day be used to advance our understanding of the molecular basis of kidney cancer, inform screening efforts for those at highest risk, and identify new drug targets. The study was led by scientists at the National Cancer Institute (NCI), part of the National Institutes of Health (NIH).

A previous genome-wide association study (GWAS) of people of European ancestry identified 13 regions of the genome that are associated with kidney cancer risk. However, the study population was not diverse. To identify additional regions, researchers conducted a GWAS in participants of many different genetic ancestries that included 29,020 people with kidney cancer and 835,670 people without kidney cancer. Analysis of the data, which came from published studies, biobanks, and a new study, resulted in the identification of 50 new regions associated with the risk of developing kidney cancer, bringing the total number of such regions to 63.

Continue reading “New study provides genomic insights into kidney cancer risk” »

A unique genetic mutation in two siblings – that has never been seen in anyone else – has been discovered by UK researchers at the University of Exeter, pointing the way towards new treatment options for type 1 diabetes.

The mutation is in the gene for a protein called programmed death-ligand 1 (PD-L1), and a new study explains how it may be responsible for the autoimmune form of diabetes that the children developed at a very young age.

“We searched the globe, looking at all the large-scale datasets that we know of, and we haven’t been able to find another family,” says molecular geneticist Matthew Johnson, from the University of Exeter in the UK.

Medically, AI is helping us with everything from identifying abnormal heart rhythms before they happen to spotting skin cancer. But do we really need it to get involved with our genome? Protein-design company Profluent believes we do.

Founded in 2022 in Berkeley, California, Profluent has been exploring ways to use AI to study and generate new proteins that aren’t found in nature. This week, the team trumpeted a major success with the release of an AI-derived protein termed OpenCRISPR-1.

The protein is meant to work in the CRISPR gene-editing system, a process in which a protein cuts open a piece of DNA and repairs or replaces a gene. CRISPR has been actively in use for about 15 years, with its creators bagging the Nobel prize in chemistry in 2020. It has shown promise as a biomedical tool that can do everything from restoring vision to combating rare diseases; as an agricultural tool that can improve the vitamin D content of tomatoes, and slash the flowering time of trees from decades to months; and much more.

In order to terraform new planets, we will need to be able transport entire ecologies & ecosystems through interstellar space in the future. Today we will examine how we could build and maintain such environments inside vast arks, generations ships able to colonize our galaxy, and the challenges these starships will face maintaining not just stores of DNA and genetic material but living organisms which depend heavily on other members of their species and other species to survive and thrive, not least of which is human ourselves. Visit our sponsor, Brilliant: https://brilliant.org/IsaacArthur/ Join this channel to get access to perks: / @isaacarthursfia Visit our Website: http://www.isaacarthur.net Join Nebula: https://go.nebula.tv/isaacarthur Support us on Patreon: / isaacarthur Support us on Subscribestar: https://www.subscribestar.com/isaac-a… Group: / 1,583,992,725,237,264 Reddit: / isaacarthur Twitter: / isaac_a_arthur on Twitter and RT our future content. SFIA Discord Server: / discord Listen or Download the audio of this episode from Soundcloud: Episode’s Audio-only version: / exporting-earth Episode’s Narration-only version: / exporting-earth-ships-narration-only Credits: Exporting Earth Episode 150, Season 4 E36 Writers: Isaac Arthur Editors: Darius Said Gregory Leal https://www.gregschool.org/ Jerry Guern Konstantin Sokerin Laura Graham Mark Warburton Matthew Acker Sigmund Kopperud Stuart Graham https://beyondnerva.wordpress.com Producer: Isaac Arthur Cover Artist: Jakub Grygier https://www.artstation.com/jakub_grygier Graphics Team: Darth Biomech https://www.artstation.com/darth_biomech Fishy Tree https://www.deviantart.com/fishytree/ Jarred Eagley Jeremy Jozwik https://www.artstation.com/zeuxis_of_… Katie Byrne Ken York / ydvisual Krisitijan Tavcar https://www.miragedereve.com LegionTech Studios Sam McNamara Sergio Boterio https://www.artstation.com/sboterod?f… Narrator: Isaac Arthur Music Manager: Luca DeRosa — [email protected] Music: Dracovallis, “Golden Meadows” https://dracovallis.bandcamp.com/ NJ Mandaville, “Intrumental Background 1” / nj-mandaville Kevin Macleod, “Infinite Wonder” / @incompetech_kmac Chris Zabriskie, “Candlepower” http://chriszabriskie.com Kai Engel, “Endless Story About Sun and Moon” https://www.kai-engel.com/ Lombus, “Amino” https://lombus.bandcamp.com Aerium, “Windmill Forests” / @officialaerium Epic Mountain, “Rising Sky” / epicmountain.