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Nature Reviews Genetics Contents November 2018 Volume 19 Number 11

Nature Reviews Genetics


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TABLE OF CONTENTS

November 2018 Volume 19, Issue 11

Research Highlights
Reviews
Amendments & Corrections

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SPOTLIGHT ON KANAZAWA

An alternative Japan experience - Meet the sides of Japanese cities that most international researchers never see


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Research Highlights

Putting genetic variants to a fitness test
Michelle Trenkmann
p667 | doi:10.1038/s41576-018-0056-4
Two studies report the application of high-throughput genome editing approaches to engineer many precise genetic variants and determine their functional impact in human and yeast cells.
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Full speed ahead for single-cell analysis
Darren J. Burgess
pp668 - 669 | doi:10.1038/s41576-018-0049-3
A study in Nature describes RNA velocity, which is a computational method to derive dynamic gene expression information from static single-cell RNA sequencing data. It provides valuable insights into developmental trajectories of cells.
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The girl with Neanderthal and Denisovan parents
Dorothy Clyde
pp668 - 669 | doi:10.1038/s41576-018-0054-6
A study in Nature characterizes the genome of Denisova 11 and reveals her to be a first-generation offspring of Neanderthal and Denisovan parents, thereby providing direct evidence of genetic mixing between genetically distinct groups of archaic hominins.
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In vivo lineage tracing in mice
Linda Koch
p669 | doi:10.1038/s41576-018-0048-4
A study in Science reports the successful application of CRISPR–Cas genome editing to track and reconstruct developmental lineages in the mouse.
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Reviews

Progress and potential in organoid research   
Giuliana Rossi, Andrea Manfrin & Matthias P. Lutolf
pp671 - 687 | doi:10.1038/s41576-018-0051-9
Organoids are 3D structures derived from stem cells that recapitulate some key characteristics of real organs. The authors review recent progress in organoid derivation and applications and outline how advances in other disciplines might lead to more physiologically relevant organoids.
Full Text | PDF
Collection: Stem cells from development to the clinic


Computational tools to unmask transposable elements   
Patricia Goerner-Potvin & Guillaume Bourque
pp688 - 704 | doi:10.1038/s41576-018-0050-x
The repetitive nature of transposable elements (TEs) creates bioinformatic challenges that frequently result in them being disregarded ('masked') in analyses. As physiological and pathological roles for TEs become increasingly appreciated, this Review discusses bioinformatics tools dedicated to TE analysis, including for genomic annotation, TE classification, identifying polymorphisms and assessing likely functional impacts.
Full Text | PDF
Collection: Computational Tools


Understanding explosive diversification through cichlid fish genomics   
Walter Salzburger
pp705 - 717 | doi:10.1038/s41576-018-0043-9
The genomes of East African cichlid fish have yielded new insights into adaptive radiation and suggest that specific genomic features underlie their propensity for explosive diversification. The author reviews these findings and the challenges of reconstructing the evolutionary history of rapidly diversifying clades.
Full Text | PDF



DNA-based memory devices for recording cellular events   
Ravi U. Sheth & Harris H. Wang
pp718 - 732 | doi:10.1038/s41576-018-0052-8
In this Review, Sheth and Wang describe emerging synthetic biology approaches for using DNA as a memory device for recording cellular events, including the various methodological steps from detecting diverse signals, converting them into DNA alterations and reading out and interpreting the recorded information. Furthermore, they discuss potential applications as biotechnological and environmental biosensors.
Full Text | PDF



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Focal Point on Kobe 

A seismic shift - How Kobe rebuilt itself after a devastating earthquake and turned into a biotechnology hub
 

Amendments & Corrections

Author Correction: A comparison of tools for the simulation of genomic next-generation sequencing data   
Merly Escalona, Sara Rocha & David Posada
p733 | doi:10.1038/s41576-018-0058-2
Full Text | PDF



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