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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

Multiplexed mapping of chromatin features at single-cell resolution

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

Pp. No disponible

Multimodal chromatin profiling using nanobody-based single-cell CUT&Tag

Marek BartosovicORCID; Gonçalo Castelo-BrancoORCID

<jats:title>Abstract</jats:title><jats:p>Probing histone modifications at a single-cell level in thousands of cells has been enabled by technologies such as single-cell CUT&amp;Tag. Here we describe nano-CUT&amp;Tag (nano-CT), which allows simultaneous mapping of up to three epigenomic modalities at single-cell resolution using nanobody-Tn5 fusion proteins. Multimodal nano-CT is compatible with starting materials as low as 25,000–200,000 cells and has significantly higher sensitivity and number of fragments per cell than single-cell CUT&amp;Tag. We use nano-CT to simultaneously profile chromatin accessibility, H3K27ac, and H3K27me3 in juvenile mouse brain, allowing for discrimination of more cell types and states than unimodal single-cell CUT&amp;Tag. We also infer chromatin velocity between assay for transposase-accessible chromatin (ATAC) and H3K27ac in the oligodendrocyte lineage and deconvolute H3K27me3 repressive states, finding two sequential waves of H3K27me3 repression at distinct gene modules during oligodendrocyte lineage progression. Given its high resolution, versatility, and multimodal features, nano-CT allows unique insights in epigenetic landscapes in complex biological systems at the single-cell level.</jats:p>

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

Pp. No disponible

Single-cell nanobody-based profiles of multiple epigenetic modalities and chromatin velocity

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

Pp. No disponible

Nanobody-tethered transposition enables multifactorial chromatin profiling at single-cell resolution

Tim StuartORCID; Stephanie Hao; Bingjie Zhang; Levan MekerishviliORCID; Dan A. LandauORCID; Silas ManiatisORCID; Rahul SatijaORCID; Ivan RaimondiORCID

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

Pp. No disponible

Illumina faces short-read rivals

Michael Eisenstein

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

Pp. 3-5

scChIX-seq infers dynamic relationships between histone modifications in single cells

Jake YeungORCID; Maria FlorescuORCID; Peter Zeller; Buys Anton de BarbansonORCID; Max D. Wellenstein; Alexander van OudenaardenORCID

<jats:title>Abstract</jats:title><jats:p>Regulation of chromatin states involves the dynamic interplay between different histone modifications to control gene expression. Recent advances have enabled mapping of histone marks in single cells, but most methods are constrained to profile only one histone mark per cell. Here, we present an integrated experimental and computational framework, scChIX-seq (single-cell chromatin immunocleavage and unmixing sequencing), to map several histone marks in single cells. scChIX-seq multiplexes two histone marks together in single cells, then computationally deconvolves the signal using training data from respective histone mark profiles. This framework learns the cell-type-specific correlation structure between histone marks, and therefore does not require a priori assumptions of their genomic distributions. Using scChIX-seq, we demonstrate multimodal analysis of histone marks in single cells across a range of mark combinations. Modeling dynamics of in vitro macrophage differentiation enables integrated analysis of chromatin velocity. Overall, scChIX-seq unlocks systematic interrogation of the interplay between histone modifications in single cells.</jats:p>

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

Pp. No disponible

Real-time monitoring of tumor-homing bacteria and tumor cells in vivo using ultrasound

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

Pp. No disponible

Writing cellular history in protein chains

Hyung-Bae KwonORCID

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

Pp. No disponible

Solid-phase capture and profiling of open chromatin by spatial ATAC

Enric Llorens-BobadillaORCID; Margherita ZamboniORCID; Maja MarklundORCID; Nayanika BhallaORCID; Xinsong ChenORCID; Johan HartmanORCID; Jonas Frisén; Patrik L. StåhlORCID

<jats:title>Abstract</jats:title><jats:p>Current methods for epigenomic profiling are limited in their ability to obtain genome-wide information with spatial resolution. We introduce spatial ATAC, a method that integrates transposase-accessible chromatin profiling in tissue sections with barcoded solid-phase capture to perform spatially resolved epigenomics. We show that spatial ATAC enables the discovery of the regulatory programs underlying spatial gene expression during mouse organogenesis, lineage differentiation and in human pathology.</jats:p>

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

Pp. No disponible

RNA recording in single bacterial cells using reprogrammed tracrRNAs

Chunlei JiaoORCID; Claas Reckstadt; Fabian KönigORCID; Christina HombergerORCID; Jiaqi YuORCID; Jörg VogelORCID; Alexander J. WestermannORCID; Cynthia M. SharmaORCID; Chase L. BeiselORCID

<jats:title>Abstract</jats:title><jats:p>Capturing an individual cell’s transcriptional history is a challenge exacerbated by the functional heterogeneity of cellular communities. Here, we leverage reprogrammed tracrRNAs (Rptrs) to record selected cellular transcripts as stored DNA edits in single living bacterial cells. Rptrs are designed to base pair with sensed transcripts, converting them into guide RNAs. The guide RNAs then direct a Cas9 base editor to target an introduced DNA target. The extent of base editing can then be read in the future by sequencing. We use this approach, called TIGER (transcribed RNAs inferred by genetically encoded records), to record heterologous and endogenous transcripts in individual bacterial cells. TIGER can quantify relative expression, distinguish single-nucleotide differences, record multiple transcripts simultaneously and read out single-cell phenomena. We further apply TIGER to record metabolic bet hedging and antibiotic resistance mobilization in <jats:italic>Escherichia coli</jats:italic> as well as host cell invasion by <jats:italic>Salmonella</jats:italic>. Through RNA recording, TIGER connects current cellular states with past transcriptional states to decipher complex cellular responses in single cells.</jats:p>

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

Pp. No disponible