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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
No disponibles.
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
1996-
Cobertura temática
Tabla de contenidos
Eavesdropping on brain organoids
James Newton Brandt; Priya Rajasethupathy
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Kirigami electronics for long-term electrophysiological recording of human neural organoids and assembloids
Xiao Yang
; Csaba Forró; Thomas L. Li; Yuki Miura; Tomasz J. Zaluska; Ching-Ting Tsai; Sabina Kanton; James P. McQueen; Xiaoyu Chen; Valentina Mollo; Francesca Santoro; Sergiu P. Pașca; Bianxiao Cui
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS
Zhen He; Shuofeng Hu; Yaowen Chen; Sijing An; Jiahao Zhou; Runyan Liu; Junfeng Shi; Jing Wang; Guohua Dong; Jinhui Shi; Jiaxin Zhao; Le Ou-Yang; Yuan Zhu; Xiaochen Bo; Xiaomin Ying
<jats:title>Abstract</jats:title><jats:p>Integrating single-cell datasets produced by multiple omics technologies is essential for defining cellular heterogeneity. Mosaic integration, in which different datasets share only some of the measured modalities, poses major challenges, particularly regarding modality alignment and batch effect removal. Here, we present a deep probabilistic framework for the mosaic integration and knowledge transfer (MIDAS) of single-cell multimodal data. MIDAS simultaneously achieves dimensionality reduction, imputation and batch correction of mosaic data by using self-supervised modality alignment and information-theoretic latent disentanglement. We demonstrate its superiority to 19 other methods and reliability by evaluating its performance in trimodal and mosaic integration tasks. We also constructed a single-cell trimodal atlas of human peripheral blood mononuclear cells and tailored transfer learning and reciprocal reference mapping schemes to enable flexible and accurate knowledge transfer from the atlas to new data. Applications in mosaic integration, pseudotime analysis and cross-tissue knowledge transfer on bone marrow mosaic datasets demonstrate the versatility and superiority of MIDAS. MIDAS is available at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://github.com/labomics/midas">https://github.com/labomics/midas</jats:ext-link>.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Slow release of a synthetic auxin induces formation of adventitious roots in recalcitrant woody plants
Ohad Roth; Sela Yechezkel; Ori Serero; Avi Eliyahu; Inna Vints; Pan Tzeela; Alberto Carignano; Dorina P. Janacek; Verena Peters; Amit Kessel; Vikas Dwivedi; Mira Carmeli-Weissberg; Felix Shaya; Adi Faigenboim-Doron; Kien Lam Ung; Bjørn Panyella Pedersen; Joseph Riov; Eric Klavins; Corinna Dawid; Ulrich Z. Hammes; Nir Ben-Tal; Richard Napier; Einat Sadot; Roy Weinstain
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
A synthetic auxin for cloning mature trees
Catherine Bellini
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Author Correction: Genotoxic effects of base and prime editing in human hematopoietic stem cells
Martina Fiumara; Samuele Ferrari; Attya Omer-Javed; Stefano Beretta; Luisa Albano; Daniele Canarutto; Angelica Varesi; Chiara Gaddoni; Chiara Brombin; Federica Cugnata; Erika Zonari; Matteo Maria Naldini; Matteo Barcella; Bernhard Gentner; Ivan Merelli; Luigi Naldini
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Computer-based design of sensors that can monitor endogenous Ras activity
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Computationally designed sensors detect endogenous Ras activity and signaling effectors at subcellular resolution
Jason Z. Zhang; William H. Nguyen; Nathan Greenwood; John C. Rose; Shao-En Ong; Dustin J. Maly; David Baker
<jats:title>Abstract</jats:title><jats:p>The utility of genetically encoded biosensors for sensing the activity of signaling proteins has been hampered by a lack of strategies for matching sensor sensitivity to the physiological concentration range of the target. Here we used computational protein design to generate intracellular sensors of Ras activity (LOCKR-based Sensor for Ras activity (Ras-LOCKR-S)) and proximity labelers of the Ras signaling environment (LOCKR-based, Ras activity-dependent Proximity Labeler (Ras-LOCKR-PL)). These tools allow the detection of endogenous Ras activity and labeling of the surrounding environment at subcellular resolution. Using these sensors in human cancer cell lines, we identified Ras-interacting proteins in oncogenic EML4-Alk granules and found that Src-Associated in Mitosis 68-kDa (SAM68) protein specifically enhances Ras activity in the granules. The ability to subcellularly localize endogenous Ras activity should deepen our understanding of Ras function in health and disease and may suggest potential therapeutic strategies.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a ‘scientist’
Jennifer Listgarten
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Scalable, accessible and reproducible reference genome assembly and evaluation in Galaxy
Delphine Larivière; Linelle Abueg; Nadolina Brajuka; Cristóbal Gallardo-Alba; Bjorn Grüning; Byung June Ko; Alex Ostrovsky; Marc Palmada-Flores; Brandon D. Pickett; Keon Rabbani; Agostinho Antunes; Jennifer R. Balacco; Mark J. P. Chaisson; Haoyu Cheng; Joanna Collins; Melanie Couture; Alexandra Denisova; Olivier Fedrigo; Guido Roberto Gallo; Alice Maria Giani; Grenville MacDonald Gooder; Kathleen Horan; Nivesh Jain; Cassidy Johnson; Heebal Kim; Chul Lee; Tomas Marques-Bonet; Brian O’Toole; Arang Rhie; Simona Secomandi; Marcella Sozzoni; Tatiana Tilley; Marcela Uliano-Silva; Marius van den Beek; Robert W. Williams; Robert M. Waterhouse; Adam M. Phillippy; Erich D. Jarvis; Michael C. Schatz; Anton Nekrutenko; Giulio Formenti
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible