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Category: genetics

Researchers trace genetic code’s origins to early protein structures

Genes are the building blocks of life, and the genetic code provides the instructions for the complex processes that make organisms function. But how and why did it come to be the way it is?

A recent study from the University of Illinois Urbana-Champaign sheds new light on the origin and evolution of the , providing valuable insights for genetic engineering and bioinformatics. The study is published in the Journal of Molecular Biology.

“We find the origin of the genetic code mysteriously linked to the dipeptide composition of a proteome, the collective of proteins in an organism,” said corresponding author Gustavo Caetano-Anollés, professor in the Department of Crop Sciences, the Carl R. Woese Institute for Genomic Biology, and Biomedical and Translation Sciences of Carle Illinois College of Medicine at U. of I.

AI-powered CRISPR could lead to faster gene therapies

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help researchers—even those unfamiliar with gene editing—generate designs, analyze data and troubleshoot design flaws.

The model builds on a tool called CRISPR, a powerful gene-editing technology used to edit genomes and develop therapies for . But training on the tool to design an experiment is complicated and time-consuming—even for seasoned scientists. CRISPR-GPT speeds that process along, automating much of the experimental design and refinement. The goal, said Le Cong, Ph.D., assistant professor of pathology and genetics, who led the technology’s development, is to help scientists produce lifesaving drugs faster.

The paper is published in the journal Nature Biomedical Engineering.

Biohybrid crawlers can be controlled using optogenetic techniques

The body movements performed by humans and other animals are known to be supported by several intricate biological and neural mechanisms. While roboticists have been trying to develop systems that emulate these mechanisms for decades, the processes driving these systems’ motions remain very different.

Researchers at University of Illinois at Urbana-Champaign, Northwestern University and other institutes recently developed new biohybrid robots that combine living cells from mice with 3D printed hydrogel structures with wireless optoelectronics.

These robots, presented in a paper published in Science Robotics, have where the neurons can be controlled using optogenetic techniques, emulating the that support human movements.

Culture is overtaking genetics in shaping human evolution, researchers argue

Researchers at the University of Maine are theorizing that human beings may be in the midst of a major evolutionary shift—driven not by genes, but by culture.

In a paper published in BioScience, Timothy M. Waring, an associate professor of economics and sustainability, and Zachary T. Wood, a researcher in ecology and environmental sciences, argue that culture is overtaking genetics as the main force shaping .

“Human evolution seems to be changing gears,” said Waring. “When we learn useful skills, institutions or technologies from each other, we are inheriting adaptive . On reviewing the evidence, we find that culture solves problems much more rapidly than genetic evolution. This suggests our species is in the middle of a great evolutionary transition.”

Engineers develop technology that stimulates heart cells with light

In a new study, University of California, Irvine chemical and biomolecular engineering researchers report the creation of biomolecules that can help grow light-sensitive heart muscle cells in the laboratory. The development enables a biotechnology that could deliver light-triggered signals to the heart, improving its function, without requiring genetic modifications or invasive procedures.

“We show for the first time that light can be converted into cardiac stimulatory cues, with made of biomolecules,” said Herdeline Ann Ardoña, assistant professor of chemical and biomolecular engineering. “This can be beneficial for downstream medical applications, such as in cardiac pacemaking technologies, or helping direct therapeutic patient-derived stem to better mimic adult heart cell features.”

The findings are reported in the Proceedings of the National Academy of Sciences. The paper’s co-first authors are recent Ph.D. graduate Sujeung Lim, and Ze-Fan Yao, previous postdoctoral scholar in the Ardoña Research Group.

The Role of Bioelectrical Patterns in Regulative Morphogenesis: An Evolutionary Simulation and Validation in Planarian Regeneration

Endogenous bioelectrical patterns are an important regulator of anatomical pattern during embryogenesis, regeneration, and cancer. While there are three known classes of instructive bioelectric patterns: directly encoding, indirectly encoding, and binary trigger, it is not known how these design principles could be exploited by evolution and what their relative advantages might be. To better understand the evolutionary role of bioelectricity in anatomical homeostasis, we developed a neural cellular automaton (NCA). We used evolutionary algorithms to optimize these models to achieve reliable morphogenetic patterns driven by the different ways in which tissues can interpret their bioelectrical pattern for downstream anatomical outcomes. We found that: All three types of bioelectrical codes allow the reaching of target morphologies; Resetting of the bioelectrical pattern and the change in duration of the binary trigger alter morphogenesis; Direct pattern organisms show an emergent robustness to changes in initial anatomical configurations; Indirect pattern organisms show an emergent robustness to bioelectrical perturbation; Direct and indirect pattern organisms show a emergent generalizability competency to new (rotated) bioelectrical patterns; Direct pattern organisms show an emergent repatterning competency in post-developmental-phase. Because our simulation was fundamentally a homeostatic system seeking to achieve specific goals in anatomical state space (the space of possible morphologies), we sought to determine how the system would react when we abrogated the incentive loop driving anatomical homeostasis. To abrogate the stress/reward system that drives error minimization, we used anxiolytic neuromodulators. Simulating the effects of selective serotonin reuptake inhibitors diminished the ability of artificial embryos to reduce error between anatomical state and bioelectric prepattern, leading to higher variance of developmental outcomes, global morphological degradation, and induced in some organisms a bistability with respect to possible anatomical outcomes. These computational findings were validated by data collected from in vivo experiments in SSRI exposure in planarian flatworm regeneration.

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