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
Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data
George I. Austin; Heekuk Park
; Yoli Meydan; Dwayne Seeram; Tanya Sezin; Yue Clare Lou
; Brian A. Firek; Michael J. Morowitz; Jillian F. Banfield
; Angela M. Christiano
; Itsik Pe’er; Anne-Catrin Uhlemann; Liat Shenhav
; Tal Korem
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Global detection of human variants and isoforms by deep proteome sequencing
Pavel Sinitcyn; Alicia L. Richards; Robert J. Weatheritt; Dain R. Brademan; Harald Marx; Evgenia Shishkova; Jesse G. Meyer
; Alexander S. Hebert; Michael S. Westphall; Benjamin J. Blencowe
; Jürgen Cox
; Joshua J. Coon
<jats:title>Abstract</jats:title><jats:p>An average shotgun proteomics experiment detects approximately 10,000 human proteins from a single sample. However, individual proteins are typically identified by peptide sequences representing a small fraction of their total amino acids. Hence, an average shotgun experiment fails to distinguish different protein variants and isoforms. Deeper proteome sequencing is therefore required for the global discovery of protein isoforms. Using six different human cell lines, six proteases, deep fractionation and three tandem mass spectrometry fragmentation methods, we identify a million unique peptides from 17,717 protein groups, with a median sequence coverage of approximately 80%. Direct comparison with RNA expression data provides evidence for the translation of most nonsynonymous variants. We have also hypothesized that undetected variants likely arise from mutation-induced protein instability. We further observe comparable detection rates for exon–exon junction peptides representing constitutive and alternative splicing events. Our dataset represents a resource for proteoform discovery and provides direct evidence that most frame-preserving alternatively spliced isoforms are translated.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Personalized medicine is having its day
Caroline Seydel
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
SEACells infers transcriptional and epigenomic cellular states from single-cell genomics data
Sitara Persad; Zi-Ning Choo; Christine Dien; Noor Sohail; Ignas Masilionis; Ronan Chaligné; Tal Nawy
; Chrysothemis C. Brown; Roshan Sharma; Itsik Pe’er
; Manu Setty
; Dana Pe’er
<jats:title>Abstract</jats:title><jats:p>Metacells are cell groupings derived from single-cell sequencing data that represent highly granular, distinct cell states. Here we present single-cell aggregation of cell states (SEACells), an algorithm for identifying metacells that overcome the sparsity of single-cell data while retaining heterogeneity obscured by traditional cell clustering. SEACells outperforms existing algorithms in identifying comprehensive, compact and well-separated metacells in both RNA and assay for transposase-accessible chromatin (ATAC) modalities across datasets with discrete cell types and continuous trajectories. We demonstrate the use of SEACells to improve gene–peak associations, compute ATAC gene scores and infer the activities of critical regulators during differentiation. Metacell-level analysis scales to large datasets and is particularly well suited for patient cohorts, where per-patient aggregation provides more robust units for data integration. We use our metacells to reveal expression dynamics and gradual reconfiguration of the chromatin landscape during hematopoietic differentiation and to uniquely identify CD4 T cell differentiation and activation states associated with disease onset and severity in a Coronavirus Disease 2019 (COVID-19) patient cohort.</jats:p>
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Quantification of absolute transcription factor binding affinities in the native chromatin context using BANC-seq
Hannah K. Neikes; Katarzyna W. Kliza
; Cathrin Gräwe
; Roelof A. Wester; Pascal W. T. C. Jansen; Lieke A. Lamers; Marijke P. Baltissen; Simon J. van Heeringen; Colin Logie; Sarah A. Teichmann
; Rik G. H. Lindeboom
; Michiel Vermeulen
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Measuring the impact of chromatin context on transcription factor binding affinities
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Make science disruptive again
Itai Yanai
; Martin J. Lercher
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Targeted DNA integration in human cells without double-strand breaks using CRISPR-associated transposases
George D. Lampe
; Rebeca T. King
; Tyler S. Halpin-Healy; Sanne E. Klompe; Marcus I. Hogan; Phuc Leo H. Vo
; Stephen Tang
; Alejandro Chavez; Samuel H. Sternberg
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Imaging the biological microcosmos with a tiny telescope
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible
Precision financing
Melanie Senior
Palabras clave: Biomedical Engineering; Molecular Medicine; Applied Microbiology and Biotechnology; Bioengineering; Biotechnology.
Pp. No disponible