Catálogo de publicaciones - revistas
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
A universal deep-learning model for zinc finger design enables transcription factor reprogramming
David M. Ichikawa
; Osama Abdin; Nader Alerasool; Manjunatha Kogenaru; April L. Mueller; Han Wen; David O. Giganti; Gregory W. Goldberg; Samantha Adams; Jeffrey M. Spencer; Rozita Razavi; Satra Nim; Hong Zheng; Courtney Gionco; Finnegan T. Clark; Alexey Strokach; Timothy R. Hughes; Timothee Lionnet; Mikko Taipale; Philip M. Kim; Marcus B. Noyes
<jats:title>Abstract</jats:title><jats:p>Cys<jats:sub>2</jats:sub>His<jats:sub>2</jats:sub> zinc finger (ZF) domains engineered to bind specific target sequences in the genome provide an effective strategy for programmable regulation of gene expression, with many potential therapeutic applications. However, the structurally intricate engagement of ZF domains with DNA has made their design challenging. Here we describe the screening of 49 billion protein–DNA interactions and the development of a deep-learning model, ZFDesign, that solves ZF design for any genomic target. ZFDesign is a modern machine learning method that models global and target-specific differences induced by a range of library environments and specifically takes into account compatibility of neighboring fingers using a novel hierarchical transformer architecture. We demonstrate the versatility of designed ZFs as nucleases as well as activators and repressors by seamless reprogramming of human transcription factors. These factors could be used to upregulate an allele of haploinsufficiency, downregulate a gain-of-function mutation or test the consequence of regulation of a single gene as opposed to the many genes that a transcription factor would normally influence.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Hallucinating functional protein sequences
David Belanger; Lucy J. Colwell
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Three-dimensional structured illumination microscopy with enhanced axial resolution
Xuesong Li; Yicong Wu; Yijun Su; Ivan Rey-Suarez; Claudia Matthaeus; Taylor B. Updegrove; Zhuang Wei; Lixia Zhang; Hideki Sasaki; Yue Li; Min Guo; John P. Giannini; Harshad D. Vishwasrao; Jiji Chen; Shih-Jong J. Lee; Lin Shao; Huafeng Liu; Kumaran S. Ramamurthi; Justin W. Taraska; Arpita Upadhyaya; Patrick La Riviere; Hari Shroff
<jats:title>Abstract</jats:title><jats:p>The axial resolution of three-dimensional structured illumination microscopy (3D SIM) is limited to ∼300 nm. Here we present two distinct, complementary methods to improve axial resolution in 3D SIM with minimal or no modification to the optical system. We show that placing a mirror directly opposite the sample enables four-beam interference with higher spatial frequency content than 3D SIM illumination, offering near-isotropic imaging with ∼120-nm lateral and 160-nm axial resolution. We also developed a deep learning method achieving ∼120-nm isotropic resolution. This method can be combined with denoising to facilitate volumetric imaging spanning dozens of timepoints. We demonstrate the potential of these advances by imaging a variety of cellular samples, delineating the nanoscale distribution of vimentin and microtubule filaments, observing the relative positions of caveolar coat proteins and lysosomal markers and visualizing cytoskeletal dynamics within T cells in the early stages of immune synapse formation.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Spatial transcriptomics for profiling the tropism of viral vectors in tissues
Min J. Jang; Gerard M. Coughlin; Cameron R. Jackson; Xinhong Chen; Miguel R. Chuapoco; Julia L. Vendemiatti; Alexander Z. Wang; Viviana Gradinaru
<jats:title>Abstract</jats:title><jats:p>A barrier to advancing engineered adeno-associated viral vectors (AAVs) for precision access to cell subtypes is a lack of high-throughput, high-resolution assays to characterize in vivo transduction profiles. In this study, we developed an ultrasensitive, sequential fluorescence in situ hybridization (USeqFISH) method for spatial transcriptomic profiling of endogenous and viral RNA with a short barcode in intact tissue volumes by integrating hydrogel-based tissue clearing, enhanced signal amplification and multiplexing using sequential labeling. Using USeqFISH, we investigated the transduction and cell subtype tropisms across mouse brain regions of six systemic AAVs, including AAV-PHP.AX, a new variant that transduces robustly and efficiently across neurons and astrocytes. Here we reveal distinct cell subtype biases of each AAV variant, including a bias of AAV-PHP.N toward excitatory neurons. USeqFISH also enables profiling of pooled regulatory cargos, as we show for a 13-variant pool of microRNA target sites in AAV genomes. Lastly, we demonstrate potential applications of USeqFISH for in situ AAV profiling and multimodal single-cell analysis in non-human primates.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
CLASH enables large-scale parallel knock-in for cell engineering
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Massively parallel knock-in engineering of human T cells
Xiaoyun Dai; Jonathan J. Park; Yaying Du; Zhenkun Na; Stanley Z. Lam; Ryan D. Chow; Paul A. Renauer; Jianlei Gu; Shan Xin; Zhiyuan Chu; Cun Liao; Paul Clark; Hongyu Zhao; Sarah Slavoff; Sidi Chen
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Spatial tropism profiling of AAV vectors by ultrasensitive sequential FISH in tissue
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Delivering 3 billion doses of Comirnaty in 2021
Nicholas Warne; Margaret Ruesch; Pamela Siwik; Paul Mensah; John Ludwig; Michael Hripcsak; Ranga Godavarti; Andrew Prigodich; Mikael Dolsten
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Drug pipeline 4Q22 — sticking around
John Hodgson
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
2022 – toughing out the trough
John Hodgson
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible