Cell Systems

Papers
(The median citation count of Cell Systems is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses251
Statistical modeling and analysis of cell counts from multiplexed imaging data220
Approaching deconvolution with Fermi’s mindset169
A framework for ultra-low-input spatial tissue proteomics163
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line122
Pitfalls of genotyping microbial communities with rapidly growing genome collections118
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites106
Engineering functional materials through bacteria-assisted living grafting105
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics101
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals98
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition87
What are the current bottlenecks in developing and applying CRISPR technologies?87
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning84
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture82
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?73
Evolutionary paths that link orthogonal pairs of binding proteins71
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE69
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks68
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments67
Homeostasis65
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation65
What differentiates a stress response from responsiveness in general?65
The structure of the human cell cycle64
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation63
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation61
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks59
How can concepts from ecology enable insights about cellular communities?59
The geometry of cell fate58
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors57
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease57
Modeling elucidates context dependence in adipose regulation53
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing52
Mapping combinatorial expression perturbations to growth in Escherichia coli51
The electrostatic landscape of MHC-peptide binding revealed using inception networks50
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing48
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden48
The structure is the message: Preserving experimental context through tensor decomposition45
The metallome and the biological periodic table: A metal atlas in cells43
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors42
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA40
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration39
Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions39
Coupled oscillator cooperativity as a control mechanism in chronobiology37
Evaluation of Le et al.: Challenges and opportunities for using data to understand equitability in science36
Consequential drug combinations for tuberculosis treatments35
Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health33
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data33
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs32
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities32
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues32
A top variant identification pipeline for protein engineering31
Environmental modulators of algae-bacteria interactions at scale31
A three-node Turing gene circuit forms periodic spatial patterns in bacteria31
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape30
A complete allosteric map of a GTPase switch in its native cellular network30
The structure of the human cell cycle30
Identifying features of genome evolution to exploit cancer vulnerabilities29
A multi-scale map of protein assemblies in the DNA damage response28
Transcriptional memory formation: Battles between transcription factors and repressive chromatin28
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature28
Evaluation of Williams et al.: On multiomics and mediation28
The substrate quality of CK2 target sites has a determinant role on their function and evolution27
A convergent molecular network underlying autism and congenital heart disease27
Recent progress of gene circuit designs in immune cell therapies26
Multiomic profiling of the liver across diets and age in a diverse mouse population26
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data26
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy25
Self-organization of plasticity and specialization in a primitively social insect25
Noise distorts the epigenetic landscape and shapes cell-fate decisions25
All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics25
Minding the gaps: The importance of navigating holes in protein fitness landscapes25
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers25
Observations and implication of thermal tolerance in the Arabidopsis proteome25
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning22
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes22
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs22
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells22
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states22
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution22
Human plasma IgG1 repertoires are simple, unique, and dynamic22
The need for speed: Migratory cells in tight spaces boost their molecular clock22
Accurate top protein variant discovery via low-N pick-and-validate machine learning22
Cold and hot fibrosis define clinically distinct cardiac pathologies21
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells21
The community-function landscape of microbial consortia21
Tissue Schematics: A framework to decipher tissue architecture and assembly20
Ligand-receptor promiscuity enables cellular addressing20
Modular microenvironment components reproduce vascular dynamics de novo in a multi-scale agent-based model19
Evaluation of Geuenich et al.: Targeting a crucial bottleneck for analyzing single-cell multiplexed imaging data19
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference18
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces18
Unveiling the hidden network of STING’s subcellular regulation18
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth18
Dysregulation of the secretory pathway connects Alzheimer’s disease genetics to aggregate formation18
Contrastive learning of T cell receptor representations17
Studying stochastic systems biology of the cell with single-cell genomics data17
Single-cell colocalization analysis using a deep generative model17
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection17
Widespread alteration of protein autoinhibition in human cancers17
Functional attractors in microbial community assembly17
Uncovering the principles coordinating systems-level organelle biogenesis with cellular growth16
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities16
Paving the path toward genomic privacy with secure imputation16
Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity16
Morphology and gene expression profiling provide complementary information for mapping cell state16
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution16
What can recent methodological advances help us understand about protein and genome evolution?16
A time-resolved proteomic and prognostic map of COVID-1916
Automated single-cell omics end-to-end framework with data-driven batch inference15
Privacy-preserving genotype imputation with fully homomorphic encryption15
How well do contextual protein encodings learn structure, function, and evolutionary context?15
Entrainment and multi-stability of the p53 oscillator in human cells14
Emerging questions in transcriptional regulation14
Somatic XIST activation and features of X chromosome inactivation in male human cancers14
Lactate-dependent chaperone-mediated autophagy induces oscillatory HIF-1α activity promoting proliferation of hypoxic cells14
Biphasic JNK-Erk signaling separates the induction and maintenance of cell senescence after DNA damage induced by topoisomerase II inhibition14
Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity14
FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions14
Artificial intelligence for proteomics and biomarker discovery14
Active learning of enhancers and silencers in the developing neural retina14
Promoter DNA methylation and transcription factor condensation are linked to transcriptional memory in mammalian cells13
MitoNet: A generalizable model for segmentation of individual mitochondria within electron microscopy datasets13
Enhanced cellular longevity arising from environmental fluctuations13
Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy13
Assessing generative model coverage of protein structures with SHAPES13
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences13
A molecular clock controls periodically driven cell migration in confined spaces13
Deep-learning-based design of synthetic orthologs of SH3 signaling domains13
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition12
Reproducibility metrics for context-specific CRISPR screens12
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation12
Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains12
NAD+ flux is maintained in aged mice despite lower tissue concentrations12
Periodic spatial patterning with a single morphogen12
Efficient retroelement-mediated DNA writing in bacteria12
Engineering ligand-specific biosensors for aromatic amino acids and neurochemicals12
Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons12
Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors12
What limits our ability to study the effects of microbial diversity on health and the environment?12
Assembly of stool-derived bacterial communities follows “early-bird” resource utilization dynamics11
Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation11
The in silico lab: Improving academic code using lessons from biology11
Parallel engineering and activity profiling of a base editor system10
Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset10
Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders10
What do you most hope spatial molecular profiling will help us understand? Part 210
Versatile system cores as a conceptual basis for generality in cell and developmental biology10
A new age in protein design empowered by deep learning10
Integrase enables synthetic intercellular logic via bacterial conjugation10
Learning protein fitness landscapes with deep mutational scanning data from multiple sources10
Transcriptional activators in the early Drosophila embryo perform different kinetic roles10
Evo-velocity: Protein language modeling accelerates the study of evolution10
A systems view of cellular heterogeneity: Unlocking the “wheel of fate”10
A trade-off between stress resistance and tolerance underlies the adaptive response to hydrogen peroxide9
Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter9
Truncated protein isoforms generate diversity of protein localization and function in yeast9
Self-resistance-gene-guided, high-throughput automated genome mining of bioactive natural products from Streptomyces9
Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions9
Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells9
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli9
Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle8
Evaluation of Ravindran et al.: Real-time detection of signaling pulses in vivo: making cells monitor themselves8
Gene-by-gene screen of the unknown proteins encoded on Plasmodium falciparum chromosome 38
Fundamental limits on the rate of bacterial growth and their influence on proteomic composition8
The time-resolved genomic impact of Wnt/β-catenin signaling8
Information theory entering soils and tissues8
High-throughput functional characterization of combinations of transcriptional activators and repressors8
Degradation of host translational machinery drives tRNA acquisition in viruses8
Modes and motifs in multicellular communication8
Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity8
Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting8
Control points for design of taxonomic composition in synthetic human gut communities8
DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods8
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs8
Systems genetics of metabolic health in the BXD mouse genetic reference population8
Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models8
Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes8
Evaluation of Lee et al.: Clarity and interpretation of mutual information in promoter transfer functions8
Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens8
Allele-specific genomic data elucidate the role of somatic gain and copy-number neutral loss of heterozygosity in cancer7
Benchmarking transcriptional host response signatures for infection diagnosis7
Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells7
Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development7
Privacy-preserving genotype imputation in a trusted execution environment7
The master regulator OxyR orchestrates bacterial oxidative stress response genes in space and time7
Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis7
How can Waddington-like landscapes facilitate insights beyond developmental biology?7
On knowing a gene: A distributional hypothesis of gene function6
Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques6
Evaluation of Choudhary et al.: Single-cell gene expression dynamics in the E. coli oxidative stress response network6
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework6
Reframing the role of the objective function in its proper context for metabolic network modeling6
IgLM: Infilling language modeling for antibody sequence design6
Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening6
Modeling non-genetic adaptation in tumor cells6
Cracking the code of adaptive immunity: The role of computational tools6
Tailoring microbial fitness through computational steering and CRISPRi-driven robustness regulation6
A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment6
What is the key challenge in engineering microbiomes?6
What does the success of mRNA vaccines tell us about the future of biological therapeutics?6
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species5
Highly parallel production of designer organoids by mosaic patterning of progenitors5
DeST-OT: Alignment of spatiotemporal transcriptomics data5
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations5
Data-driven batch detection enhances single-cell omics data analysis5
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors5
T cell receptor cross-reactivity prediction improved by a comprehensive mutational scan database5
Convolutions are competitive with transformers for protein sequence pretraining5
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut5
Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework5
Systematic analysis of the MAPK signaling network reveals MAP3K-driven control of cell fate5
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