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Microbial systems have been synthetically engineered to deploy therapeutic payloads in vivo.


To enable effective cancer vaccination, we developed an engineered bacterial system in probiotic Escherichia coli Nissle 1917 (EcN) to enhance expression, delivery and immune-targeting of arrays of tumour exonic mutation-derived epitopes highly expressed by tumour cells and predicted to bind major histocompatibility complex (MHC) class I and II (Fig. 1a). This system incorporates several key design elements that enhance therapeutic use: optimization of synthetic neoantigen construct form with removal of cryptic plasmids and deletion of Lon and OmpT proteases to increase neoantigen accumulation, increased susceptibility to phagocytosis for enhanced uptake by antigen-presenting cells (APCs) and presentation of MHC class II-restricted antigens, expression of listeriolysin O (LLO) to induce cytosolic entry for presentation of recombinant encoded neoantigens by MHC class I molecules and T helper 1 cell (TH1)-type immunity and improved safety for systemic administration due to reduced survival in the blood and biofilm formation.

To assemble a repertoire of neoantigens, we conducted exome and transcriptome sequencing of subcutaneous CT26 tumours. Neoantigens were predicted from highly expressed tumour-specific mutations using established methods14,15, with selection criteria inclusive of putative neoantigens across a spectrum of MHC affinity16,17. Given the importance of both MHC class I and MHC class II binding epitopes in antitumour immunity15,18,19, we integrated a measure of wild-type-to-mutant MHC affinity ratio—termed agretopicity17,20—for both epitope types derived from a given mutation, to help estimate the ability of adaptive immunity to recognize a neoantigen. Predicted neoantigens were selected from the set of tumour-specific mutations satisfying all criteria, notably encompassing numerous recovered, previously validated CT26 neoantigens15 (Extended Data Fig. 1a).

We then sought to create a microbial system that could accommodate the production and delivery of diverse sets of neoantigens to lymphoid tissue and the tumour microenvironment (TME). For the purpose of assessing neoantigen production capacity, a prototype gene encoding a synthetic neoantigen construct (NeoAgp) was created by concatenating long peptides encompassing linked CD4+ and CD8+ T cell mutant epitopes—previously shown as an optimal form for stimulating cellular immunity21—derived from CT26 neoantigens (Extended Data Fig. 1b and Extended Data Table 1). The construct was cloned into a stabilized plasmid22 under constitutive expression and transformed into EcN; however, both immunoblot and enzyme-linked immunosorbent assay (ELISA) assessment showed low production of the prototype construct by EcN across several tested promoters (Extended Data Fig. 1c).

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug development. The surprise announcement comes just weeks after the system’s creators, Demis Hassabis and John Jumper, were awarded the 2024 Nobel Prize in Chemistry for their work on protein structure prediction.

AlphaFold 3 represents a quantum leap beyond its predecessors. While AlphaFold 2 could predict protein structures, version 3 can model the complex interactions between proteins, DNA, RNA, and small molecules — the fundamental processes of life. This matters because understanding these molecular interactions drives modern drug discovery and disease treatment. Traditional methods of studying these interactions often require months of laboratory work and millions in research funding — with no guarantee of success.

The system’s ability to predict how proteins interact with DNA, RNA, and small molecules transforms it from a specialized tool into a comprehensive solution for studying molecular biology. This broader capability opens new paths for understanding cellular processes, from gene regulation to drug metabolism, at a scale previously out of reach.

How organisms age is a question with broad implications for human health. In mammals, DNA methylation is a biomarker for biological age, which may predict age more accurately than date of birth. However, limitations in mammalian models make it difficult to identify mechanisms underpinning age-related DNA methylation changes. Here, we show that the short-lived model plant Arabidopsis thaliana exhibits a loss of epigenetic integrity during aging, causing heterochromatin DNA methylation decay and the expression of transposable elements. We show that the rate of epigenetic aging can be manipulated by extending or curtailing lifespan, and that shoot apical meristems are protected from this aging process. We demonstrate that a program of transcriptional repression suppresses DNA methylation maintenance pathways during aging, and that mutants of this mechanism display a complete absence of epigenetic decay. This presents a new paradigm in which a gene regulatory program sets the rate of epigenomic information loss during aging.

The authors have declared no competing interest.

Surprising findings on bacterial aging have emerged from a study carried out by a team of researchers led by the biologist Dr. Ulrich Steiner at Freie Universität Berlin. In a new paper published in Science Advances, the team demonstrated that even genetically identical bacterial cells living in the same environment react differently to the aging process and that changes occur at different rates within different regions of the cell.

Scientists from Vilnius University’s (VU) Life Sciences Center (LSC) have discovered a unique way for cells to silence specific genes without cutting DNA. This research, led by Prof. Patrick Pausch and published in the journal Nature Communications, reveals a new way to silence genes that is akin to pressing a “pause” button on certain genetic instructions within cells.

A trio of research papers from Stanford Medicine researchers and their international collaborators transforms scientists’ understanding of how small DNA circles — until recently dismissed as inconsequential — are major drivers of many types of human cancers.

The papers, published simultaneously in Nature on Nov. 6, detail the prevalence and prognostic impact of the circles, called ecDNA for extrachromosomal DNA, in nearly 15,000 human cancers; highlight a novel mode of inheritance that overthrows a fundamental law of genetics; and describe an anti-cancer therapy targeting the circles that is already in clinical trials.

The team, jointly known as eDyNAmiC, are a group of international experts led by professor of pathology Paul Mischel, MD. In 2022, Mischel and the eDyNAmiC team were awarded a $25 million grant from the Cancer Grand Challenges initiative to learn more about the circles. Cancer Grand Challenges, a research initiative co-founded by Cancer Research UK and the National Cancer Institute in the United States, supports a global community of interdisciplinary, world-class research teams to take on cancer’s toughest challenges.

The world is full of unusual unicellular organisms and microbes, many of which have not been discovered yet. In 2017, scientists identified a single-celled marine organism called Chromosphaera perkinsii in sediments collected from Hawaii. This species is estimated to be over a billion years old, making it older than the world’s most ancient animals. Researchers determined that this species has significant similarities to some animal embryos, though it is typically unicellular. The findings, which have been reported in Nature, suggested that some of the genetic mechanisms underlying complex life are present in C. perkinsii, or that it has evolved those characteristics independently.

The investigators noted that this study seems to answer the question of whether the chicken came before the egg; it was apparently the egg, since the genetic tools for making eggs existed prior to the emergence of chickens.

Did the laws of physics come into being at the Big Bang?

Watch the full talk at https://iai.tv/video/the-laws-of-physics-are-not-fixed-joao-…escription.

We think that the laws of physics are unchanging and cannot be violated. Join pioneering physicist, João Magueijo, as he argues that everything we thought we knew about the laws of physics is wrong. They do change. And they can be violated. What’s more, a new understanding of these laws could help solve the mystery of dark matter.

#physics #science #speedoflight.

João Magueijo is a Portuguese cosmologist and professor in theoretical physics at Imperial College London. He is a pioneer of the varying speed of light (VSL) theory.

The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=YouTube&utm_medium=descr…-magueijo.

Scientists at the Centre for Genomic Regulation (CRG) in Barcelona have developed the first comprehensive blueprint of the human spliceosome, the most complex and intricate molecular machine found in every cell. This groundbreaking achievement, over a decade in the making, was published in the journal Science.

The spliceosome edits genetic messages transcribed from DNA, allowing cells to create different versions of a protein from a single gene. The vast majority of human genes – more than nine in ten – are edited by the spliceosome. Errors in the process are linked to a wide spectrum of diseases including most types of cancer, neurodegenerative conditions, and genetic disorders.

The sheer number of components involved and the intricacy of its function has meant the spliceosome has remained elusive and uncharted territory in human biology – until now.