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Nature Biotechnology

Resumen/Descripción – provisto por la editorial en inglés
Nature Biotechnology is a monthly journal covering the science and business of biotechnology. It publishes new concepts in technology/methodology of relevance to the biological, biomedical, agricultural and environmental sciences as well as covers the commercial, political, ethical, legal, and societal aspects of this research. The first function is fulfilled by the peer-reviewed research section, the second by the expository efforts in the front of the journal. We provide researchers with news about business; we provide the business community with news about research developments.
Palabras clave – provistas por la editorial

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Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde jul. 2012 / hasta dic. 2023 Nature.com

Información

Tipo de recurso:

revistas

ISSN impreso

1087-0156

ISSN electrónico

1546-1696

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Tabla de contenidos

Efficient engineering of human and mouse primary cells using peptide-assisted genome editing

Zhen ZhangORCID; Amy E. BaxterORCID; Diqiu Ren; Kunhua QinORCID; Zeyu Chen; Sierra M. Collins; Hua Huang; Chad A. Komar; Peter F. BailerORCID; Jared B. ParkerORCID; Gerd A. Blobel; Rahul M. KohliORCID; E. John WherryORCID; Shelley L. Berger; Junwei ShiORCID

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Efficient evolution of human antibodies from general protein language models

Brian L. HieORCID; Varun R. ShankerORCID; Duo XuORCID; Theodora U. J. BruunORCID; Payton A. WeidenbacherORCID; Shaogeng TangORCID; Wesley WuORCID; John E. Pak; Peter S. KimORCID

<jats:title>Abstract</jats:title><jats:p>Natural evolution must explore a vast landscape of possible sequences for desirable yet rare mutations, suggesting that learning from natural evolutionary strategies could guide artificial evolution. Here we report that general protein language models can efficiently evolve human antibodies by suggesting mutations that are evolutionarily plausible, despite providing the model with no information about the target antigen, binding specificity or protein structure. We performed language-model-guided affinity maturation of seven antibodies, screening 20 or fewer variants of each antibody across only two rounds of laboratory evolution, and improved the binding affinities of four clinically relevant, highly mature antibodies up to sevenfold and three unmatured antibodies up to 160-fold, with many designs also demonstrating favorable thermostability and viral neutralization activity against Ebola and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pseudoviruses. The same models that improve antibody binding also guide efficient evolution across diverse protein families and selection pressures, including antibiotic resistance and enzyme activity, suggesting that these results generalize to many settings.</jats:p>

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Precise integration of large DNA sequences in plant genomes using PrimeRoot editors

Chao Sun; Yuan Lei; Boshu Li; Qiang Gao; Yunjia Li; Wen Cao; Chao Yang; Hongchao Li; Zhiwei Wang; Yan Li; Yanpeng WangORCID; Jun Liu; Kevin Tianmeng ZhaoORCID; Caixia GaoORCID

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Drug discovery companies are customizing ChatGPT: here’s how

Neil Savage

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Quantifying bias introduced by sample collection in relative and absolute microbiome measurements

Dylan G. MaghiniORCID; Mai Dvorak; Alex DahlenORCID; Morgan RoosORCID; Scott Kuersten; Ami S. BhattORCID

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues

Viktoria WagnerORCID; Fabian KernORCID; Oliver Hahn; Nicholas Schaum; Nicole Ludwig; Tobias FehlmannORCID; Annika EngelORCID; Dominic Henn; Shusruto Rishik; Alina IsakovaORCID; Michelle Tan; Rene Sit; Norma Neff; Martin Hart; Eckart Meese; Steve Quake; Tony Wyss-CorayORCID; Andreas KellerORCID

<jats:title>Abstract</jats:title><jats:p>Molecular mechanisms of organismal and cell aging remain incompletely understood. We, therefore, generated a body-wide map of noncoding RNA (ncRNA) expression in aging (16 organs at ten timepoints from 1 to 27 months) and rejuvenated mice. We found molecular aging trajectories are largely tissue-specific except for eight broadly deregulated microRNAs (miRNAs). Their individual abundance mirrors their presence in circulating plasma and extracellular vesicles (EVs) whereas tissue-specific ncRNAs were less present. For miR-29c-3p, we observe the largest correlation with aging in solid organs, plasma and EVs. In mice rejuvenated by heterochronic parabiosis, miR-29c-3p was the most prominent miRNA restored to similar levels found in young liver. miR-29c-3p targets the extracellular matrix and secretion pathways, known to be implicated in aging. We provide a map of organism-wide expression of ncRNAs with aging and rejuvenation and identify a set of broadly deregulated miRNAs, which may function as systemic regulators of aging via plasma and EVs.</jats:p>

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Inferring cell–cell communication at single-cell resolution

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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Can microbes save the planet?

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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After GLP-1, what’s next for weight loss?

Melanie Senior

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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High-throughput RNA isoform sequencing using programmed cDNA concatenation

Aziz M. Al’KhafajiORCID; Jonathan T. SmithORCID; Kiran V. Garimella; Mehrtash Babadi; Victoria PopicORCID; Moshe Sade-FeldmanORCID; Michael GatzenORCID; Siranush Sarkizova; Marc A. Schwartz; Emily M. BlaumORCID; Allyson Day; Maura Costello; Tera Bowers; Stacey Gabriel; Eric Banks; Anthony A. Philippakis; Genevieve M. Boland; Paul C. BlaineyORCID; Nir HacohenORCID

Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.

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