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

Tabla de contenidos

Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data

George I. Austin; Heekuk ParkORCID; Yoli Meydan; Dwayne Seeram; Tanya Sezin; Yue Clare LouORCID; Brian A. Firek; Michael J. Morowitz; Jillian F. BanfieldORCID; Angela M. ChristianoORCID; Itsik Pe’er; Anne-Catrin Uhlemann; Liat ShenhavORCID; Tal KoremORCID

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. MeyerORCID; Alexander S. Hebert; Michael S. Westphall; Benjamin J. BlencoweORCID; Jürgen CoxORCID; Joshua J. CoonORCID

<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 NawyORCID; Chrysothemis C. Brown; Roshan Sharma; Itsik Pe’erORCID; Manu SettyORCID; Dana Pe’erORCID

<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. KlizaORCID; Cathrin GräweORCID; Roelof A. Wester; Pascal W. T. C. Jansen; Lieke A. Lamers; Marijke P. Baltissen; Simon J. van Heeringen; Colin Logie; Sarah A. TeichmannORCID; Rik G. H. LindeboomORCID; Michiel VermeulenORCID

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 YanaiORCID; Martin J. LercherORCID

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. LampeORCID; Rebeca T. KingORCID; Tyler S. Halpin-Healy; Sanne E. Klompe; Marcus I. Hogan; Phuc Leo H. VoORCID; Stephen TangORCID; Alejandro Chavez; Samuel H. SternbergORCID

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