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| Open AccessLearning from prepandemic data to forecast viral escape
EVEscape, a flexible framework using deep learning and biophysical structural information, enables early identification of concerning mutations in viruses with pandemic potential, facilitating the development of vaccines and therapeutics.
- Nicole N. Thadani
- , Sarah Gurev
- & Debora S. Marks
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Article
| Open AccessLoss of CDK4/6 activity in S/G2 phase leads to cell cycle reversal
We uncover the mechanism underlying the restriction point phenomenon, suggest a role for cyclin-dependent kinase 4 and 6 activity in S and G2 phases, and explain the behaviour of cells following loss of mitogen signalling.
- James A. Cornwell
- , Adrijana Crncec
- & Steven D. Cappell
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Article |
Transfer learning enables predictions in network biology
A context-aware, attention-based deep learning model pretrained on single-cell transcriptomes enables predictions in settings with limited data in network biology and could accelerate discovery of key network regulators and candidate therapeutic targets.
- Christina V. Theodoris
- , Ling Xiao
- & Patrick T. Ellinor
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Article
| Open AccessUbiquitination regulates ER-phagy and remodelling of endoplasmic reticulum
Ubiquitination of the receptor FAM134B regulates ER-phagy and remodelling of the endoplasmic reticulum in response to cellular demands.
- Alexis González
- , Adriana Covarrubias-Pinto
- & Ivan Dikić
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Article |
Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis
Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.
- Joshua S. Weinstock
- , Jayakrishnan Gopakumar
- & Siddhartha Jaiswal
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Article
| Open AccessSpatial genomics maps the structure, nature and evolution of cancer clones
A workflow centred around base-specific in situ sequencing generates detailed maps of, and can phenotypically characterize, the unique set of subclones of cancers.
- Artem Lomakin
- , Jessica Svedlund
- & Lucy R. Yates
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Article
| Open AccessPhenotypic plasticity and genetic control in colorectal cancer evolution
Intratumour genetic ancestry only infrequently affects gene expression traits and subclonal evolution in colorectal cancer, with most genetic intratumour variation having no detected phenotypic consequence and transcriptional plasticity being widespread within a tumour.
- Jacob Househam
- , Timon Heide
- & Trevor A. Graham
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Article |
Control of cell state transitions
An approach called cell state transition assessment and regulation uses diverse multiomics data to map cell states, model their transitions, and understand the signalling networks that control them.
- Oleksii S. Rukhlenko
- , Melinda Halasz
- & Boris N. Kholodenko
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Article
| Open AccessThe longitudinal dynamics and natural history of clonal haematopoiesis
A long-term study of 385 human donors reports that driver gene mutations and age determine the lifelong dynamics of clonal haematopoiesis
- Margarete A. Fabre
- , José Guilherme de Almeida
- & George S. Vassiliou
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Article
| Open AccessFundamental immune–oncogenicity trade-offs define driver mutation fitness
A mathematical framework to estimate the fitness of cancer driver mutations by integrating mutational bias, oncogenicity and immunogenicity finds fundamental trade-offs in cancer evolution.
- David Hoyos
- , Roberta Zappasodi
- & Benjamin D. Greenbaum
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Matters Arising |
Reply to: Models of flow through sponges must consider the sponge tissue
- Giacomo Falcucci
- , Giovanni Polverino
- & Sauro Succi
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Article |
The evolution, evolvability and engineering of gene regulatory DNA
A framework for studying and engineering gene regulatory DNA sequences, based on deep neural sequence-to-expression models trained on large-scale libraries of random DNA, provides insight into the evolution, evolvability and fitness landscapes of regulatory DNA.
- Eeshit Dhaval Vaishnav
- , Carl G. de Boer
- & Aviv Regev
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Article |
The power of genetic diversity in genome-wide association studies of lipids
A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.
- Sarah E. Graham
- , Shoa L. Clarke
- & Cristen J. Willer
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Article |
A multi-scale map of cell structure fusing protein images and interactions
Protein immunofluorescence imaging and affinity purification–mass spectrometry are combined to create a unified map of human cell architecture across scales, which the authors call the multi-scale integrated cell (MuSIC).
- Yue Qin
- , Edward L. Huttlin
- & Trey Ideker
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Article |
Few-fs resolution of a photoactive protein traversing a conical intersection
Serial femtosecond crystallography (SFX) has provided significant understanding of time-resolved processes of various systems in biology, for example, rhodopsin, which underlies our vision. The approach involves femtosecond-length X-ray pulses directed at protein crystals and has been used to study various photoactive proteins. However, the function of proteins such as rhodopsin requires trans–cis isomerization of a chromophore, which involves crossing of a conical intersection—a funnel separating potential energy surfaces—at timescales faster than what can be achieved experimentally. Here, Ourmazd and colleagues report a machine learning analysis of SFX data of photoactive yellow protein, which resolves the protein passing through a conical intersection, providing information about the potential energy surfaces involved and achieving time resolution of less than 10 fs. This approach offers an opportunity to understand some of the fastest processes in biology by extracting even more information from SFX datasets.
- A. Hosseinizadeh
- , N. Breckwoldt
- & A. Ourmazd
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Article |
Disease variant prediction with deep generative models of evolutionary data
A new computational method, EVE, classifies human genetic variants in disease genes using deep generative models trained solely on evolutionary sequences.
- Jonathan Frazer
- , Pascal Notin
- & Debora S. Marks
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Article |
Burden and characteristics of COVID-19 in the United States during 2020
Data-driven modelling including numbers of cases and population movements is used to simulate the COVID-19 pandemic in the United States in 2020, providing insights into the transmission of the disease.
- Sen Pei
- , Teresa K. Yamana
- & Jeffrey Shaman
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Article |
Extreme flow simulations reveal skeletal adaptations of deep-sea sponges
High-performance hydrodynamic simulations show that the skeletal structure of the deep-sea sponge Euplectella aspergillum reduces the hydrodynamic stresses on it, while possibly being beneficial for feeding and reproduction.
- Giacomo Falcucci
- , Giorgio Amati
- & Sauro Succi
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Perspective |
Thinking clearly about social aspects of infectious disease transmission
The use of new datastreams and local knowledge to shed light on social aspects of disease transmission will allow more accurate modelling and prediction of epidemics.
- Caroline Buckee
- , Abdisalan Noor
- & Lisa Sattenspiel
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Article
| Open AccessSwarm Learning for decentralized and confidential clinical machine learning
Swarm Learning is a decentralized machine learning approach that outperforms classifiers developed at individual sites for COVID-19 and other diseases while preserving confidentiality and privacy.
- Stefanie Warnat-Herresthal
- , Hartmut Schultze
- & Joachim L. Schultze
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Article |
Reverse and forward engineering of Drosophila corneal nanocoatings
The building blocks of the nanostructures observed on Drosophila corneas are determined, and then used to create artificial nanostructures with anti-reflective and anti-adhesive properties.
- Mikhail Kryuchkov
- , Oleksii Bilousov
- & Vladimir L. Katanaev
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Article |
Temperature-dependent growth contributes to long-term cold sensing
The authors find that slow plant growth at low temperatures during winter reduces dilution of the transcription factor NTL8, which allows slow accumulation of NTL8 and thus the gradual increase in transcription of VIN3—a gene involved in memory of cold exposure.
- Yusheng Zhao
- , Rea L. Antoniou-Kourounioti
- & Martin Howard
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Article |
Gene expression cartography
A new computational framework, novoSpaRc, leverages single-cell data to reconstruct spatial context for cells and spatial expression across tissues and organisms, on the basis of an organization principle for gene expression.
- Mor Nitzan
- , Nikos Karaiskos
- & Nikolaus Rajewsky
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Article |
A single-cell molecular map of mouse gastrulation and early organogenesis
Single-cell profiling is used to create a molecular-level atlas of cell differentiation trajectories during gastrulation and early organogenesis in the mouse.
- Blanca Pijuan-Sala
- , Jonathan A. Griffiths
- & Berthold Göttgens
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Letter |
Experimental and computational framework for a dynamic protein atlas of human cell division
Quantitative live-cell imaging provides a dynamic protein atlas of mitosis.
- Yin Cai
- , M. Julius Hossain
- & Jan Ellenberg
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Letter |
Single-cell mapping of the thymic stroma identifies IL-25-producing tuft epithelial cells
A comprehensive characterization of the thymic stroma identifies a tuft-cell-like thymic epithelial cell population that is critical for shaping the immune niche in the thymus.
- Chamutal Bornstein
- , Shir Nevo
- & Ido Amit
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Brief Communications Arising |
Lorenzo-Redondo et al. reply
- Ramon Lorenzo-Redondo
- , Helen R. Fryer
- & Steven M. Wolinsky
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Brief Communications Arising |
Re-evaluating evolution in the HIV reservoir
- Daniel I. S. Rosenbloom
- , Alison L. Hill
- & Robert F. Siliciano
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Letter |
Rewriting yeast central carbon metabolism for industrial isoprenoid production
Yeast central carbon metabolism has been engineered to achieve a more efficient isoprenoid biosynthesis pathway, an advance that brings commodity-scale production of such compounds a step closer.
- Adam L. Meadows
- , Kristy M. Hawkins
- & Annie E. Tsong
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Letter |
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity
A new model of tumour evolution is presented to explain how short-range migration and cell turnover within the tumour can provide the basic environment of rapid cell mixing, allowing even a small selective advantage to dominate the mass within relevant time frames.
- Bartlomiej Waclaw
- , Ivana Bozic
- & Martin A. Nowak
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Letter |
Single-cell messenger RNA sequencing reveals rare intestinal cell types
An algorithm that allows rare cell type identification in a complex population of single cells, based on single-cell mRNA-sequencing, is applied to mouse intestinal cells, revealing novel subtypes of enteroendocrine cells and showing that the Lgr5-expressing population consists of a homogenous stem cell population with a few rare secretory cells, including Paneth cells.
- Dominic Grün
- , Anna Lyubimova
- & Alexander van Oudenaarden
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Letter |
Crucial HSP70 co-chaperone complex unlocks metazoan protein disaggregation
An efficient protein disaggregation system uncovered in metazoan cells requires transient interactions between J-protein co-chaperones of classes A and B, which synergistically boost HSP70-dependent disaggregation activity, providing a flexible further level of regulation for metazoan protein quality control, with direct relevance to human diseases such as age-related neurodegeneration.
- Nadinath B. Nillegoda
- , Janine Kirstein
- & Bernd Bukau
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Letter |
Global circulation patterns of seasonal influenza viruses vary with antigenic drift
The analysis of more than 9,000 haemagglutinin sequences of human seasonal influenza viruses over a 12-year time period shows that the global circulation patterns of A/H1N1 and B viruses are different from those of the well characterised A/H3N2 viruses; in particular the A/H1N1 and B viruses are shown to persist locally across several seasons and do not display the same degree of global movement as the H3N2 viruses.
- Trevor Bedford
- , Steven Riley
- & Colin A. Russell
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Letter |
PLETHORA gradient formation mechanism separates auxin responses
Through a combination of experimental and computational approaches, the interplay between the plant hormone auxin and the auxin-induced PLETHORA transcription factors is shown to control zonation and gravity-prompted growth movements in plants.
- Ari Pekka Mähönen
- , Kirsten ten Tusscher
- & Ben Scheres
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Letter |
A dynamic model of bovine tuberculosis spread and control in Great Britain
Bovine tuberculosis is a major economic burden on the cattle industry, and attempts to control it have been politically controversial; here farm movement and bovine tuberculosis incidence data are used to construct a mechanistic model and tease apart the factors contributing to epidemic bovine tuberculosis spread.
- Ellen Brooks-Pollock
- , Gareth O. Roberts
- & Matt J. Keeling
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Letter |
Spatiotemporal control of endocytosis by phosphatidylinositol-3,4-bisphosphate
Phosphoinositides are important regulators of intracellular membrane traffic, and although the role of PI(4,5)P2 has been well characterised, the function of PI(3,4)P2 remains unclear; here the formation of PI(3,4)P2 by the class II phosphatidylinositol-3-kinase C2α enzyme is shown to control clathrin-mediated endocytosis.
- York Posor
- , Marielle Eichhorn-Gruenig
- & Volker Haucke
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Letter |
Mature HIV-1 capsid structure by cryo-electron microscopy and all-atom molecular dynamics
The structure of the HIV-1 capsid is analysed by cryo-electron microscopy and cryo-electron tomography, allowing presentation of an all-atom molecular dynamics model of the entire capsid.
- Gongpu Zhao
- , Juan R. Perilla
- & Peijun Zhang
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Research Highlights |
'Whole-cell' computer model
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Letter |
A Polycomb-based switch underlying quantitative epigenetic memory
- Andrew Angel
- , Jie Song
- & Martin Howard
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News & Views Forum |
Simplicity versus complexity
Many scientists now use the power of computer models to advance their subjects. But there is a choice: to simplify complex systems or to include more detail. Modelling the intricate processes of sedimentary geology is a case in point.
- Chris Paola
- & Mike Leeder
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News |
Supercomputing for the birds
Teragrid machine prepares to crunch ornithologists' data.
- Emma Marris
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News |
Scratching the subsurface
The Deepwater Horizon oil spill puts ocean-current modelling to the test.
- Janet Fang
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Letter |
A computational model of teeth and the developmental origins of morphological variation
Genotype and phenotype cannot be connected simply by one-to-one mapping; instead they are linked by the nonlinear process of development. Here, a computational model is described — based on real data about the development of seal teeth — that attempts to combine the three. The results show that a few genetic parameters regulating signalling during cusp development may explain variation among individuals. But a cellular parameter regulating epithelial growth may explain tooth-to-tooth variation along the jaw.
- Isaac Salazar-Ciudad
- & Jukka Jernvall
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Article |
A synchronized quorum of genetic clocks
A defining focus of synthetic biology is the engineering of genetic circuits with predictive functionality in living cells. Here, a decade after the first synthesized genetic toggle switch and oscillator, an engineered gene network with global intercellular coupling is designed that is capable of generating synchronized oscillations in a growing population of cells.
- Tal Danino
- , Octavio Mondragón-Palomino
- & Jeff Hasty