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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 nov. 1998 / hasta nov. 2015 EBSCOHost
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

Activation of recombinases at specific DNA loci by zinc-finger domain insertions

Liliya MukhametzyanovaORCID; Lukas Theo SchmittORCID; Julia Torres-Rivera; Teresa Rojo-RomanosORCID; Felix Lansing; Maciej Paszkowski-RogaczORCID; Heike Hollak; Melanie BruxORCID; Martina AugsburgORCID; Paul Martin SchneiderORCID; Frank BuchholzORCID

<jats:title>Abstract</jats:title><jats:p>Recombinases have several potential advantages as genome editing tools compared to nucleases and other editing enzymes, but the process of engineering them to efficiently recombine predetermined DNA targets demands considerable investment of time and labor. Here we sought to harness zinc-finger DNA-binding domains (ZFDs) to program recombinase binding by developing fusions, in which ZFDs are inserted into recombinase coding sequences. By screening libraries of hybrid proteins, we optimized the insertion site, linker length, spacing and ZFD orientation and generated Cre-type recombinases that remain dormant unless the insertionally fused ZFD binds its target site placed in the vicinity of the recombinase binding site. The developed fusion improved targeted editing efficiencies of recombinases by four<jats:bold>-</jats:bold>fold and abolished measurable off-target activity in mammalian cells. The ZFD-dependent activity is transferable to a recombinase with relaxed specificity, providing the means for developing fully programmable recombinases. Our engineered recombinases provide improved genome editing tools with increased precision and efficiency.</jats:p>

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

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Medicare price negotiation and pharmaceutical innovation following the Inflation Reduction Act

Matthew VogelORCID; Pragya Kakani; Amitabh Chandra; Rena M. ContiORCID

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

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A new mass analyzer shakes up the proteomics field

Bernhard KusterORCID; Johanna TüshausORCID; Florian P. Bayer

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

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Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition

Ulises H. GuzmanORCID; Ana Martinez-ValORCID; Zilu YeORCID; Eugen Damoc; Tabiwang N. Arrey; Anna Pashkova; Santosh Renuse; Eduard Denisov; Johannes Petzoldt; Amelia C. Peterson; Florian Harking; Ole ØstergaardORCID; Rasmus RydbirkORCID; Susana AznarORCID; Hamish Stewart; Yue XuanORCID; Daniel Hermanson; Stevan Horning; Christian Hock; Alexander MakarovORCID; Vlad Zabrouskov; Jesper V. OlsenORCID

<jats:title>Abstract</jats:title><jats:p>Mass spectrometry (MS)-based proteomics aims to characterize comprehensive proteomes in a fast and reproducible manner. Here we present the narrow-window data-independent acquisition (nDIA) strategy consisting of high-resolution MS1 scans with parallel tandem MS (MS/MS) scans of ~200 Hz using 2-Th isolation windows, dissolving the differences between data-dependent and -independent methods. This is achieved by pairing a quadrupole Orbitrap mass spectrometer with the asymmetric track lossless (Astral) analyzer which provides &gt;200-Hz MS/MS scanning speed, high resolving power and sensitivity, and low-ppm mass accuracy. The nDIA strategy enables profiling of &gt;100 full yeast proteomes per day, or 48 human proteomes per day at the depth of ~10,000 human protein groups in half-an-hour or ~7,000 proteins in 5 min, representing 3× higher coverage compared with current state-of-the-art MS. Multi-shot acquisition of offline fractionated samples provides comprehensive coverage of human proteomes in ~3 h. High quantitative precision and accuracy are demonstrated in a three-species proteome mixture, quantifying 14,000+ protein groups in a single half-an-hour run.</jats:p>

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

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A conditional, zinc-finger-dependent recombinase system for DNA editing

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

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Branched chemically modified poly(A) tails enhance the translation capacity of mRNA

Hongyu Chen; Dangliang Liu; Jianting GuoORCID; Abhishek Aditham; Yiming Zhou; Jiakun Tian; Shuchen LuoORCID; Jingyi Ren; Alvin Hsu; Jiahao HuangORCID; Franklin Kostas; Mingrui Wu; David R. Liu; Xiao WangORCID

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

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De novo and somatic structural variant discovery with SVision-pro

Songbo Wang; Jiadong Lin; Peng JiaORCID; Tun XuORCID; Xiujuan Li; Yuezhuangnan Liu; Dan Xu; Stephen J. Bush; Deyu Meng; Kai YeORCID

<jats:title>Abstract</jats:title><jats:p>Long-read-based de novo and somatic structural variant (SV) discovery remains challenging, necessitating genomic comparison between samples. We developed SVision-pro, a neural-network-based instance segmentation framework that represents genome-to-genome-level sequencing differences visually and discovers SV comparatively between genomes without any prerequisite for inference models. SVision-pro outperforms state-of-the-art approaches, in particular, the resolving of complex SVs is improved, with low Mendelian error rates, high sensitivity of low-frequency SVs and reduced false-positive rates compared with SV merging approaches.</jats:p>

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

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Author Correction: Tumor immunotherapy across MHC barriers using allogeneic T-cell precursors

Johannes L. Zakrzewski; David Suh; John C. Markley; Odette M. Smith; Christopher King; Gabrielle L. Goldberg; Robert Jenq; Amanda M. Holland; Jeremy Grubin; Javier Cabrera-Perez; Renier J. Brentjens; Sydney X. Lu; Gabrielle Rizzuto; Derek B. Sant’Angelo; Isabelle Riviere; Michel Sadelain; Glenn Heller; Juan Carlos Zúñiga-Pflücker; Chen Lu; Marcel R. M. van den Brink

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

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Capturing and modeling cellular niches from dissociated single-cell and spatial data

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

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The potential of DAOs for funding and collaborative development in the life sciences

Simone Fantaccini; Laura GrassiORCID; Andrea Rampoldi

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

Pp. No disponible