13 results match your criteria: "Research Center for Life Sciences Computing[Affiliation]"

Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models.

Nat Commun

November 2024

State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China.

Article Synopsis
  • The emergence of CRISPR-Cas systems has led to the development of efficient gene editing tools, but traditional methods for discovering these systems often overlook important variants due to their reliance on sequence similarity.* -
  • A new AI framework called CHOOSER has been introduced to discover CRISPR-Cas systems without needing extensive training data, significantly enhancing the discovery process by utilizing protein large language models.* -
  • Using CHOOSER, researchers identified 11 new Casλ homologs, doubling the known catalog, and experimentally validated one homolog, EphcCasλ, for its capability in self-processing pre-crRNA and potential in CRISPR-based pathogen detection.*
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Discovery and characterization of a novel carlavirus in Ligularia jaluensis plants.

Virol Sin

November 2024

Hainan Institute of Zhejiang University, Sanya, 572025, China; State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China. Electronic address:

Ligularia jaluensis is an important medicinal and ornamental plant in China. However, the viruses capable of infecting Ligularia jaluensis remains unknown. Here, we identified a novel carlavirus, tentatively named ligularia jaluensis carlavirus (LJCV), as well as a known iris severe mosaic virus (ISMV), in L.

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Continuous monitoring of sweat nutrients offers valuable insights into metabolic cycling and health levels. However, existing methods often lack adaptability and real-time capabilities. Here, we propose a skin-mountable flexible biosensor integrated with metal-organic framework (MOF)-derived composites for real-time monitoring of sweat ascorbic acid (AA) levels.

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Article Synopsis
  • A new robotic system is developed for ultra-high-throughput organic chemical synthesis, integrating technologies like microfluidics and AI.
  • This system can perform multiple tasks automatically, including preparing reactants, conducting rapid photocatalytic reactions, and online detection of products.
  • During testing, the system successfully screened 12,000 reaction conditions in a single day, demonstrating its ability to achieve up to 10,000 reactions daily, while also using AI for predictive analysis on substrates and photocatalysts.
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Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we introduce parallel convolution to deep learning for GS and call it a parallel neural network for genomic selection (PNNGS).

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Overcoming drug-resistant tumors with selection gene drives.

Cell Genom

September 2024

School of Medicine, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; School of Engineering, Westlake University, Hangzhou 310030, Zhejiang, China. Electronic address:

Drug resistance is a major hurdle prohibiting effective treatment of many diseases, including cancer. Using model-guided designs, Leighow et al. engineered a dual-switch selection gene drive system custom designed to combat drug-resistant tumors.

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For better decisions in social interactions, humans often must understand the thinking of others and predict their actions. Since such predictions are uncertain, multiple predictions may be necessary for better decision-making. However, the neural processes and computations underlying such social decision-making remain unclear.

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Being a vital cellular process, coat protein complex II (COPII) vesicle trafficking has been found to play a crucial role in liver metabolism. However, its functions and the underlying mechanisms in systemic metabolic homeostasis have not been fully understood. Here, with a newly identified gene trap zebrafish line (sec31anju221), we show that compromised COPII vesicle trafficking leads to biphasic abnormal hepatic metabolism.

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Multi-layered computational gene networks by engineered tristate logics.

Cell

September 2024

Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Medicine and School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China. Electronic address:

Article Synopsis
  • Traditional digital electronics principles may limit the design of complex gene circuits, prompting the need for innovative approaches in biocomputation.
  • The introduction of the tristate-based logic synthesis (TriLoS) framework using genetic variants of tristate buffers enables efficient design of multi-layered gene networks for performing advanced Boolean logic.
  • This research paves the way for programmable cell-based therapies that can tailor drug release based on specific diseases, potentially leading to significant advancements in precision medicine.
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Article Synopsis
  • Sodium nitroprusside (SNP) helps rice plants survive harsh conditions like cold temperatures and chromium pollution by improving their ability to handle stress.
  • When rice seedlings faced cold and chromium together, they had more damage than with either stress alone, affecting their growth and health.
  • Using SNP reduced the harmful effects of these stresses by helping the plants manage important chemicals and boosting their growth and overall health.
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Linguistic feedback supports rapid adaptation to acoustically degraded speech.

iScience

June 2024

Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou 310027, China.

Humans can quickly adapt to recognize acoustically degraded speech, and here we hypothesize that the quick adaptation is enabled by internal linguistic feedback - Listeners use partially recognized sentences to adapt the mapping between acoustic features and phonetic labels. We test this hypothesis by quantifying how quickly humans adapt to degraded speech and analyzing whether the adaptation process can be simulated by adapting an automatic speech recognition (ASR) system based on its own speech recognition results. We consider three types of acoustic degradation, i.

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Multiple coherent amplitude modes and exciton-phonon coupling in quasi-one-dimensional excitonic insulator TaNiSe.

Phys Chem Chem Phys

May 2024

Key Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, People's Republic of China.

Article Synopsis
  • An excitonic insulator (EI) is a unique phase of matter created by condensed excitons, with TaNiSe serving as a key material for studying these states.
  • The study employs femtosecond pump-probe spectroscopy to explore phonon dynamics and exciton-phonon interactions in single-crystal TaNiSe, revealing distinct characteristics in its response to temperature changes.
  • Findings indicate that certain high-frequency vibrations behave differently in the EI phase compared to normal phonons, and their coupling with the EI order parameter evolves as temperature varies, providing deeper understanding of exciton-phonon coupling.
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