Featured
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Article
| Open AccessNetwork-wide thermodynamic constraints shape NAD(P)H cofactor specificity of biochemical reactions
NADH and NADPH are redox cofactors coexisting in all living cells. Here, the authors present a computational study suggesting that evolved NAD(P)H reaction specificities in E. coli are largely shaped by metabolic network structure enabling maximal thermodynamic driving forces close to the theoretical optimum.
- Pavlos Stephanos Bekiaris
- & Steffen Klamt
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Article
| Open AccessEngineering tRNA abundances for synthetic cellular systems
Mature fields of engineering use physics-based models to design systems that work reliably the first time. Here the authors show how a similar approach can be used to design and build a cellular-scale system, protein synthesis, from scratch.
- Akshay J. Maheshwari
- , Jonathan Calles
- & Drew Endy
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Article
| Open AccessCellular state landscape and herpes simplex virus type 1 infection progression are connected
The heterogeneity of single cell responses during infection have been reported to influence disease outcome. Here, Pietilä et al characterize cellular heterogeneity during Herpes Simplex Virus 1 infection using a multimodal approach that resolves gene expression, proteomic and spatial details at the single cell level.
- Maija K. Pietilä
- , Jana J. Bachmann
- & Cornel Fraefel
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Article
| Open AccessThe intensities of canonical senescence biomarkers integrate the duration of cell-cycle withdrawal
Senescence and quiescence are considered different cell states but are hard to distinguish. Here, single-cell imaging followed by immunostaining reveals that the intensities of senescence biomarkers are graded rather than binary, reflecting the duration of cell-cycle withdrawal rather than irreversible cell-cycle arrest.
- Humza M. Ashraf
- , Brianna Fernandez
- & Sabrina L. Spencer
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Article
| Open AccessMacrophage and neutrophil heterogeneity at single-cell spatial resolution in human inflammatory bowel disease
Chronic intestinal inflammatory diseases including ulcerative colitis and Crohn’s disease display extensive heterogeneity in the immunopathology, disease manifestation and response to treatment. Here the authors apply single cell transcriptomic and spatial molecular imaging, and characterise macrophage and neutrophils in samples from patients with inflammatory bowel diseases.
- Alba Garrido-Trigo
- , Ana M. Corraliza
- & Azucena Salas
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Article
| Open AccessSequestration of histidine kinases by non-cognate response regulators establishes a threshold level of stimulation for bacterial two-component signaling
Bacterial two-component systems consist of a sensor histidine kinase (HK) that perceives a signal, and a cognate response regulator (RR) that modulates target gene expression. Here, the authors combine experiments and mathematical modelling to show that phosphorylated HKs can be sequestered by non-cognate RRs, which prevents responses to weak signals.
- Gaurav D. Sankhe
- , Rubesh Raja
- & Deepak Kumar Saini
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Article
| Open AccessA general model-based causal inference method overcomes the curse of synchrony and indirect effect
Traditional causal inference methods struggle to distinguish direct causation from synchrony and indirect effects. Here, authors present GOBI that overcomes this by testing a general model’s ability to reproduce data, providing accurate and broadly applicable causality inference for complex systems.
- Se Ho Park
- , Seokmin Ha
- & Jae Kyoung Kim
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Article
| Open AccessA tripartite microbial co-culture system for de novo biosynthesis of diverse plant phenylpropanoids
Plant-derived phenylpropanoids have diverse industrial applications ranging from flavours and fragrances to polymers and pharmaceuticals. Here the authors present a tripartite microbial coculture with mix-and-match flexibility and had improved stability within an engineered living material platform for de novo production of several plant-derived phenylpropanoids.
- Sierra M. Brooks
- , Celeste Marsan
- & Hal S. Alper
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Article
| Open AccessCellSighter: a neural network to classify cells in highly multiplexed images
Identification and classification of cells in multiplexed microscopy remain challenging. Here, the authors propose CellSighter, which uses neural networks to perform cell classification directly on multiplexed images, thus leveraging the spatial expression characteristics of proteins.
- Yael Amitay
- , Yuval Bussi
- & Leeat Keren
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Article
| Open AccessSalicylic acid metabolism and signalling coordinate senescence initiation in aspen in nature
Deciduous trees exhibit autumn senescence driven by environmental seasonality. Here, the authors show that senescence timing in aspen tree genotypes depends on environmental changes but also on the ability of each genotype to sustain stress tolerance mediated by the phytohormone salicylic acid.
- Jenna Lihavainen
- , Jan Šimura
- & Stefan Jansson
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Article
| Open AccessA polycistronic system for multiplexed and precalibrated expression of multigene pathways in fungi
Unlike prokaryotic hosts, most genes in eukaryotes are transcribed to monocistronic mRNA for single protein translation. Here, the authors develop a polycistronic system for multiplexed and precalibrated expression of multiple genes, and show its application in constructing yeast cell factories for terpenoids production.
- Qun Yue
- , Jie Meng
- & Shuobo Shi
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Article
| Open AccessChronic inflammation, neutrophil activity, and autoreactivity splits long COVID
Post-acute sequelae of COVID-19 (PASC) has heterogenous presentation and complex etiology. Here the authors profile peripheral blood of patients with PASC and analyze by machine-learning to identify immune and serology features that allow the stratification of PASC into inflammatory and non-inflammatory types for better diagnosis and therapy-planning.
- Matthew C. Woodruff
- , Kevin S. Bonham
- & Ignacio Sanz
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Article
| Open AccessFunctional decomposition of metabolism allows a system-level quantification of fluxes and protein allocation towards specific metabolic functions
Quantifying the contribution of individual molecular components to complex cellular processes is a grand challenge in systems biology. Here, the authors present a general theoretical framework (Functional Decomposition of Metabolism, FDM) to quantify the contribution of every metabolic reaction to metabolic functions, e.g. the synthesis of biomass building blocks.
- Matteo Mori
- , Chuankai Cheng
- & Terence Hwa
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Article
| Open AccessDiscovery and mechanism-guided engineering of BHET hydrolases for improved PET recycling and upcycling
The degradation of PET using PETase enzymes has great potential but can face problems with incomplete degradation. Here, the authors identified two BHETases from the environment and engineered them to improve their hydrolysis efficiency for applications in dual-enzyme PET recycling and tandem chemical-enzymatic PET upcycling systems.
- Anni Li
- , Yijie Sheng
- & He Huang
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Article
| Open AccessThe role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom
An outbreak of Mpox in the UK began in May 2022 and peaked in July. In this modelling study, the authors show that the decline in cases was likely due to behavioural changes among high-risk populations, whilst vaccination could prevent a rebound.
- Samuel P. C. Brand
- , Massimo Cavallaro
- & Matt J. Keeling
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Article
| Open AccessMOBILE pipeline enables identification of context-specific networks and regulatory mechanisms
A problem in network biology is identification of context-specific networks. Here the authors report Multi-Omics Binary Integration via Lasso Ensembles (MOBILE) to nominate molecular features associated with cellular phenotypes and pathways, and use this to assess interferon-γ regulated PD-L1 expression.
- Cemal Erdem
- , Sean M. Gross
- & Marc R. Birtwistle
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Article
| Open AccessTop-down identification of keystone taxa in the microbiome
Keystone taxa in ecological communities are native taxa that have an especially important role in the stability of their ecosystem. This study introduces a novel method for detecting keystones in microbial communities by comparing data with and without specific species.
- Guy Amit
- & Amir Bashan
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Article
| Open AccessCell facilitation promotes growth and survival under drug pressure in breast cancer
In cancer, interactions between treatment-sensitive and resistant cells can influence the effectiveness of therapies. Here, the authors use experimental and mathematical models to explore interactions between ER+ breast cancer cell lineages that are sensitive or resistant to CDK4/6 inhibition, revealing the role of facilitative growth.
- Rena Emond
- , Jason I. Griffiths
- & Andrea H. Bild
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Article
| Open AccessSingle cell Hi-C identifies plastic chromosome conformations underlying the gastrulation enhancer landscape
Here the authors use single-cell Hi-C to investigate chromosome conformation in post-gastrulation mouse embryos. They find a distinct genome organization in primitive erythrocytes and conformations matching the mesodermal and ectodermal lineages.
- Nimrod Rappoport
- , Elad Chomsky
- & Amos Tanay
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Article
| Open AccessMultidimensional characterization of inducible promoters and a highly light-sensitive LOV-transcription factor
The ability to independently control the expression of different genes is important for quantitative biology. Here, the authors report kinetic parameters, noise scaling, impact on growth, and the fundamental leakiness of a wide range of inducible transcriptional systems, including a new, highly light sensitive LOV-transcription factor.
- Vojislav Gligorovski
- , Ahmad Sadeghi
- & Sahand Jamal Rahi
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Article
| Open AccessSystems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
Epichaperomics allow the study of protein-protein interactions and their alterations, but probes have been limited to capturing HSP90 epichaperomes. Here, the authors introduce and validate a toolset of HSP70 epichaperome ligands, and use them in epichaperomics to identify a mechanism with which cancer cells can enhance the fitness of mitotic protein networks.
- Anna Rodina
- , Chao Xu
- & Gabriela Chiosis
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Article
| Open AccessA pharmacoproteomic landscape of organotypic intervention responses in Gram-negative sepsis
Sepsis can cause organ damage through disparate immunological and metabolic processes. Here the authors demonstrate a proteomics-based scoring strategy for quantifying quantitative and organotypic changes in relationship to dosing, timing, and potential synergistic intervention combinations during sepsis.
- Tirthankar Mohanty
- , Christofer A. Q. Karlsson
- & Johan Malmström
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Article
| Open AccessResource-aware construct design in mammalian cells
Resource competition can be the cause of unintended coupling between co-expressed genetic constructs. Here the authors quantify the resource load imposed by different mammalian genetic components to identify construct designs with increased performance and reduced resource footprint.
- Roberto Di Blasi
- , Mara Pisani
- & Francesca Ceroni
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Article
| Open AccessBiomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Computational drug repurposing models that leverage biomedical knowledge graphs to associate drugs to diseases, are biased to genes. Here, the authors present DREAMwalk, which extends guilt-by-association for multi-layer knowledge graph learning using a semantic information-guided random walk.
- Dongmin Bang
- , Sangsoo Lim
- & Sun Kim
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Article
| Open AccessModelling genetic stability in engineered cell populations
Predicting the evolution of engineered cell populations is an increasingly popular topic in biotechnology. Here the authors build a model that explores evolution in engineered cell populations which can generate hypotheses that could lead to important insights into strategies for assessing and mitigating the effects of evolution.
- Duncan Ingram
- & Guy-Bart Stan
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Article
| Open AccessEmpowering drug off-target discovery with metabolic and structural analysis
The authors present a workflow integrating metabolic perturbations with protein structural analysis to identify drug off-targets, demonstrating how combining machine learning methods with mechanistic analyses can benefit off-target identification.
- Sourav Chowdhury
- , Daniel C. Zielinski
- & Eugene I. Shakhnovich
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Article
| Open AccessCasTuner is a degron and CRISPR/Cas-based toolkit for analog tuning of endogenous gene expression
Understanding dosage-sensitive processes requires quantitative modulation of protein abundance. Here the authors report a CRISPR-based methodology for analog tuning of endogenous gene expression, CasTuner, and show homogeneous gene expression tuning across mouse and human cells.
- Gemma Noviello
- , Rutger A. F. Gjaltema
- & Edda G. Schulz
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Article
| Open AccessLearning perturbation-inducible cell states from observability analysis of transcriptome dynamics
A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, the authors develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery of analyte-responsive promoters.
- Aqib Hasnain
- , Shara Balakrishnan
- & Enoch Yeung
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Article
| Open AccessA versatile bioelectronic interface programmed for hormone sensing
Ultrasensitive, real-time profiling of bio-analytes is a prerequisite for precision medicine. Here, the authors present a versatile bio-electronic interface (VIBE) to sense signaling cascade-guided receptor-ligand interactions and show that it can detect hormone levels in blood samples and differentiate individual metabolic conditions.
- Preetam Guha Ray
- , Debasis Maity
- & Martin Fussenegger
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Article
| Open AccessStress-induced metabolic exchanges between complementary bacterial types underly a dynamic mechanism of inter-species stress resistance
Microbes can cooperate and share resources via metabolic cross-feeding. Here, the authors show that excretion of key metabolites following acid stress provides a collaborative, inter-species mechanism of stress resistance.
- Kapil Amarnath
- , Avaneesh V. Narla
- & Terence Hwa
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Article
| Open AccessMaximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches
Optimisation of production of recombinant proteins is pharmaceutically important. Here, the authors identify a state of secretion burnout for cells and report a strategy in which induction is dynamically adjusted based on the current cell stress to avoid the appearance of burnt-out cells.
- Sebastián Sosa-Carrillo
- , Henri Galez
- & Gregory Batt
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Article
| Open AccessA positive statistical benchmark to assess network agreement
In the variety of biological and social networks, the validation of experimental data is done by comparing an overlap with reference networks. The authors introduce a positive statistical benchmark corresponding to the best possible overlap between two networks to threshold and validate new experimental datasets.
- Bingjie Hao
- & István A. Kovács
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Article
| Open AccessLearning how network structure shapes decision-making for bio-inspired computing
Better understanding of a trade-off between the speed and accuracy of decision-making is relevant for mapping biological intelligence to machines. The authors introduce a brain-inspired learning algorithm to uncover dependencies in individual fMRI networks with features of neural activity and predict inter-individual differences in decision-making.
- Michael Schirner
- , Gustavo Deco
- & Petra Ritter
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Article
| Open AccessImpaired expression of metallothioneins contributes to allergen-induced inflammation in patients with atopic dermatitis
Inflammatory skin diseases are frequently associated with dysregulation of cutaneous immunity. Here the authors perform human challenge with house dust mite allergen in patients with atopic dermatitis and explore the molecular network determining tolerance versus inflammation and identify a role for metallothioneins in the modulation of allergen induced inflammation.
- Sofia Sirvent
- , Andres F. Vallejo
- & Marta E. Polak
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Article
| Open AccessSingularity response reveals entrainment properties in mammalian circadian clock
Current methods to assess circadian biological parameters can be labor intensive. Here, the authors establish a method for estimating circadian entrainment characteristics using simple experiments and mathematical modeling, revealing the responsiveness of circadian rhythms to diverse stimuli in the mammalian circadian clock.
- Kosaku Masuda
- , Naohiro Kon
- & Arisa Hirano
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Article
| Open AccessEngineering a new-to-nature cascade for phosphate-dependent formate to formaldehyde conversion in vitro and in vivo
A key step in the assimilation of formate is its reduction into formaldehyde. Here, the authors develop a two-enzyme route in which formate is activated into formyl phosphate and reduced by NAD(P)H into formaldehyde and confirm its functionality in vitro and in vivo.
- Maren Nattermann
- , Sebastian Wenk
- & Tobias J. Erb
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Article
| Open AccessCandida expansion in the gut of lung cancer patients associates with an ecological signature that supports growth under dysbiotic conditions
Here, Seelbinder et al. show high Candida levels in cancer patients’ stool to correlate with greater metabolically flexibility but less robust bacterial communities and, combined with machine learning models to predict Candida levels from bacterial data, suggest that lactate producing bacteria may fuel Candida overgrowth in the gut during dysbiosis.
- Bastian Seelbinder
- , Zoltan Lohinai
- & Gianni Panagiotou
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Article
| Open AccessOptimal enzyme utilization suggests that concentrations and thermodynamics determine binding mechanisms and enzyme saturations
One of the main challenges hampering the development of kinetic models is the lack of kinetic parameters for many enzymatic reactions. Here, the authors introduce a framework to explore the catalytically optimal operating conditions of any complex enzyme mechanism from an evolutionary perspective.
- Asli Sahin
- , Daniel R. Weilandt
- & Vassily Hatzimanikatis
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Article
| Open AccessNetBID2 provides comprehensive hidden driver analysis
It’s challenging to capture “hidden” drivers that may not be genetically-altered or differentially-expressed from omics data. Here the authors developed NetBID2, a comprehensive network-based toolbox with versatile features, enabling the integration of multi-omics data to expose such hidden drivers.
- Xinran Dong
- , Liang Ding
- & Jiyang Yu
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Article
| Open AccessPositive feedback induces switch between distributive and processive phosphorylation of Hog1
How cells shape signalling dynamics in MAPK cascades remains unclear. Here the authors combine mathematical modelling with in vivo validation to uncover a novel feedback mechanism that increases processivity and robustness of the yeast Hog1 module.
- Maximilian Mosbacher
- , Sung Sik Lee
- & Manfred Claassen
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Article
| Open AccessRobustness and innovation in synthetic genotype networks
Genotype networks are sets of genotypes connected by small mutational changes that share the same phenotype. Here the authors combine construction of over 20 synthetic gene regulatory networks with mathematical modeling to exemplify how gene regulatory networks provide robustness in face of mutations while enabling transitions to innovative phenotypes.
- Javier Santos-Moreno
- , Eve Tasiudi
- & Yolanda Schaerli
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Article
| Open AccessAutomated design of protein-binding riboswitches for sensing human biomarkers in a cell-free expression system
Cell-free genetically encoded biosensors have been developed to detect small molecules and nucleic acids, but they have yet to be reliably engineered to detect proteins. Here the authors develop an automated platform to convert protein-binding RNA aptamers into riboswitch sensors that operate within low-cost cell-free assays.
- Grace E. Vezeau
- , Lipika R. Gadila
- & Howard M. Salis
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Article
| Open AccessAddressable and adaptable intercellular communication via DNA messaging
Enabling high-bandwidth communication between cells is a prerequisite for engineering multicellular consortia that can perform sophisticated computations and functions. Here, the authors design a framework for addressable and adaptable DNA-based communication and implement it using plasmid conjugation in a E. coli population.
- John P. Marken
- & Richard M. Murray
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Article
| Open AccessTradeoff between lag time and growth rate drives the plasmid acquisition cost
Plasmid acquisition imposes a transient burden on bacterial hosts. Here, authors show this burden results in a tradeoff between growth and lag that dictates plasmid fate, favoring intermediate cost plasmids over both low and high cost counterparts.
- Mehrose Ahmad
- , Hannah Prensky
- & Allison J. Lopatkin
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Article
| Open AccessIn silico cancer immunotherapy trials uncover the consequences of therapy-specific response patterns for clinical trial design and outcome
Conventional clinical trial design methods are not necessarily tailored for the unique characteristics of immunotherapies. Here the authors use late-stage in silico cancer immunotherapy trials to investigate how design decisions affect the trial outcome.
- Jeroen H. A. Creemers
- , Ankur Ankan
- & Johannes Textor
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Article
| Open AccessUniversal structures for adaptation in biochemical reaction networks
At the molecular level, the evolution of life is driven by the generation and diversification of adaptation mechanisms. Here Araujo and Liotta identify definitive and universal structural requirements for adaptation via intermolecular interactions.
- Robyn P. Araujo
- & Lance A. Liotta
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Article
| Open AccessDamage dynamics and the role of chance in the timing of E. coli cell death
To understand why genetically identical cells die at different times the authors measured damage dynamics in individual cells. They report lifespan variation comes not from initial conditions but from stochastic accumulation of damage that saturates repair systems.
- Yifan Yang
- , Omer Karin
- & Uri Alon
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Article
| Open AccessDynamic fluctuations in a bacterial metabolic network
The interconnected network of cellular metabolism is potentially prone to generating oscillatory behaviour. Here, the authors use single-cell FRET measurements of pyruvate levels to reveal large periodic fluctuations in bacterial glycolysis.
- Shuangyu Bi
- , Manika Kargeti
- & Victor Sourjik
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Article
| Open AccessNucleocytoplasmic transport of active HER2 causes fractional escape from the DCIS-like state
HER2 receptor aberrations are more common in breast DCIS premalignancy than in breast cancer. Here the authors identify a feedback circuit involving HER2 nucleocytoplasmic transport that may explain why some DCIS lesions progress and others do not.
- Lixin Wang
- , B. Bishal Paudel
- & Kevin A. Janes
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