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 2021-05-01 to 2025-05-01.)
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 responses343
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals221
Approaching deconvolution with Fermi’s mindset176
Seeds of their own destruction: Dominant-negative peptide screening yields functional insight and therapeutic leads159
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics155
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line154
Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma110
A framework for ultra-low-input spatial tissue proteomics96
Pitfalls of genotyping microbial communities with rapidly growing genome collections95
Engineering functional materials through bacteria-assisted living grafting95
Which image-based phenotypes are most promising for using AI to understand cellular functions and why?94
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture93
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning93
What are the current bottlenecks in developing and applying CRISPR technologies?83
Evolutionary paths that link orthogonal pairs of binding proteins83
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments82
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks80
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?77
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition69
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation66
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation66
Homeostasis64
The structure of the human cell cycle62
What differentiates a stress response from responsiveness in general?62
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation59
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease58
How can concepts from ecology enable insights about cellular communities?57
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors57
A forecast for large-scale, predictive biology: Lessons from meteorology57
The geometry of cell fate56
Mapping the multiscale structure of biological systems56
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks56
Schrödinger’s What Is Life? at 7555
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing54
Modeling elucidates context dependence in adipose regulation54
The structure is the message: Preserving experimental context through tensor decomposition53
Conservation of metabolic regulation by phosphorylation and non-covalent small-molecule interactions53
The electrostatic landscape of MHC-peptide binding revealed using inception networks51
Mapping combinatorial expression perturbations to growth in Escherichia coli51
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors49
Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions47
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing47
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden44
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA43
Machine learning for perturbational single-cell omics42
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration40
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape39
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities39
Coupled oscillator cooperativity as a control mechanism in chronobiology39
Evaluation of Le et al.: Challenges and opportunities for using data to understand equitability in science38
Consequential drug combinations for tuberculosis treatments37
Environmental modulators of algae-bacteria interactions at scale35
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data35
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues34
A three-node Turing gene circuit forms periodic spatial patterns in bacteria34
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs32
A complete allosteric map of a GTPase switch in its native cellular network32
A top variant identification pipeline for protein engineering32
The structure of the human cell cycle31
Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health31
Identifying features of genome evolution to exploit cancer vulnerabilities30
The substrate quality of CK2 target sites has a determinant role on their function and evolution30
Deciphering the signaling network of breast cancer improves drug sensitivity prediction30
Transcriptional memory formation: Battles between transcription factors and repressive chromatin30
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature29
Evaluation of Williams et al.: On multiomics and mediation29
Recent progress of gene circuit designs in immune cell therapies28
A convergent molecular network underlying autism and congenital heart disease28
Classification of triple-negative breast cancers through a Boolean network model of the epithelial-mesenchymal transition28
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data26
Database-independent de novo metaproteomics of complex microbial communities26
Multiomic profiling of the liver across diets and age in a diverse mouse population26
Noise distorts the epigenetic landscape and shapes cell-fate decisions26
Hotspot identifies informative gene modules across modalities of single-cell genomics25
Human plasma IgG1 repertoires are simple, unique, and dynamic25
Self-organization of plasticity and specialization in a primitively social insect25
Observations and implication of thermal tolerance in the Arabidopsis proteome25
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers25
A multi-scale map of protein assemblies in the DNA damage response25
Minding the gaps: The importance of navigating holes in protein fitness landscapes25
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells25
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning24
The need for speed: Migratory cells in tight spaces boost their molecular clock24
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes24
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states24
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy24
Accurate top protein variant discovery via low-N pick-and-validate machine learning23
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells23
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution22
Single-cell co-expression analysis reveals that transcriptional modules are shared across cell types in the brain22
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs22
The community-function landscape of microbial consortia21
Ligand-receptor promiscuity enables cellular addressing21
Cold and hot fibrosis define clinically distinct cardiac pathologies20
Tissue Schematics: A framework to decipher tissue architecture and assembly20
Evaluation of Geuenich et al.: Targeting a crucial bottleneck for analyzing single-cell multiplexed imaging data20
Dysregulation of the secretory pathway connects Alzheimer’s disease genetics to aggregate formation19
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference19
Unveiling the hidden network of STING’s subcellular regulation19
Modular microenvironment components reproduce vascular dynamics de novo in a multi-scale agent-based model19
Widespread alteration of protein autoinhibition in human cancers18
IonoBiology: The functional dynamics of the intracellular metallome, with lessons from bacteria18
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection18
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution18
Studying stochastic systems biology of the cell with single-cell genomics data17
Functional attractors in microbial community assembly17
A time-resolved proteomic and prognostic map of COVID-1916
Morphology and gene expression profiling provide complementary information for mapping cell state16
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth16
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities16
Contrastive learning of T cell receptor representations16
Single-cell colocalization analysis using a deep generative model16
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces16
Paving the path toward genomic privacy with secure imputation15
How well do contextual protein encodings learn structure, function, and evolutionary context?15
Automated single-cell omics end-to-end framework with data-driven batch inference15
Somatic XIST activation and features of X chromosome inactivation in male human cancers15
Active learning of enhancers and silencers in the developing neural retina15
Entrainment and multi-stability of the p53 oscillator in human cells15
Privacy-preserving genotype imputation with fully homomorphic encryption15
What can recent methodological advances help us understand about protein and genome evolution?14
Artificial intelligence for proteomics and biomarker discovery13
Promoter DNA methylation and transcription factor condensation are linked to transcriptional memory in mammalian cells13
Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy13
FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions13
Deep-learning-based design of synthetic orthologs of SH3 signaling domains13
Biphasic JNK-Erk signaling separates the induction and maintenance of cell senescence after DNA damage induced by topoisomerase II inhibition13
MitoNet: A generalizable model for segmentation of individual mitochondria within electron microscopy datasets13
Enhanced cellular longevity arising from environmental fluctuations13
Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity13
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
Lactate-dependent chaperone-mediated autophagy induces oscillatory HIF-1α activity promoting proliferation of hypoxic cells13
Emerging questions in transcriptional regulation12
Engineering ligand-specific biosensors for aromatic amino acids and neurochemicals12
Periodic spatial patterning with a single morphogen12
Efficient retroelement-mediated DNA writing in bacteria12
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition12
Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains12
Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons12
Reproducibility metrics for context-specific CRISPR screens11
Transcriptional activators in the early Drosophila embryo perform different kinetic roles11
Assembly of stool-derived bacterial communities follows “early-bird” resource utilization dynamics11
NAD+ flux is maintained in aged mice despite lower tissue concentrations11
Advances in systems biology modeling: 10 years of crowdsourcing DREAM challenges11
Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors11
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation11
Versatile system cores as a conceptual basis for generality in cell and developmental biology11
The in silico lab: Improving academic code using lessons from biology11
Learning protein fitness landscapes with deep mutational scanning data from multiple sources10
AutoGeneS: Automatic gene selection using multi-objective optimization for RNA-seq deconvolution10
Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation10
Self-resistance-gene-guided, high-throughput automated genome mining of bioactive natural products from Streptomyces10
Parallel engineering and activity profiling of a base editor system10
A new age in protein design empowered by deep learning10
Evo-velocity: Protein language modeling accelerates the study of evolution10
Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset10
What do you most hope spatial molecular profiling will help us understand? Part 29
Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes9
Gene-by-gene screen of the unknown proteins encoded on Plasmodium falciparum chromosome 39
Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders9
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli9
The time-resolved genomic impact of Wnt/β-catenin signaling9
Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models9
Truncated protein isoforms generate diversity of protein localization and function in yeast8
Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells8
Evaluation of Lee et al.: Clarity and interpretation of mutual information in promoter transfer functions8
Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions8
Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter8
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
Integrase enables synthetic intercellular logic via bacterial conjugation8
Organizing principles of the C. elegans contactome8
Evaluation of Ravindran et al.: Real-time detection of signaling pulses in vivo: making cells monitor themselves7
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs7
DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods7
Fundamental limits on the rate of bacterial growth and their influence on proteomic composition7
Information theory entering soils and tissues7
High-throughput functional characterization of combinations of transcriptional activators and repressors7
Control points for design of taxonomic composition in synthetic human gut communities7
How can Waddington-like landscapes facilitate insights beyond developmental biology?7
Degradation of host translational machinery drives tRNA acquisition in viruses7
Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle7
Cracking the code of adaptive immunity: The role of computational tools6
Evaluation of Choudhary et al.: Single-cell gene expression dynamics in the E. coli oxidative stress response network6
A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment6
IgLM: Infilling language modeling for antibody sequence design6
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework6
On knowing a gene: A distributional hypothesis of gene function6
Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells6
Modes and motifs in multicellular communication6
The master regulator OxyR orchestrates bacterial oxidative stress response genes in space and time6
Privacy-preserving genotype imputation in a trusted execution environment6
What does the success of mRNA vaccines tell us about the future of biological therapeutics?6
What is the key challenge in engineering microbiomes?6
Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling6
Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques6
Allele-specific genomic data elucidate the role of somatic gain and copy-number neutral loss of heterozygosity in cancer6
Benchmarking transcriptional host response signatures for infection diagnosis6
Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis6
Tailoring microbial fitness through computational steering and CRISPRi-driven robustness regulation6
Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening6
Highly parallel production of designer organoids by mosaic patterning of progenitors6
Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework6
Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development6
Systems genetics of metabolic health in the BXD mouse genetic reference population6
What cannot be seen correctly in 2D visualizations of single-cell ‘omics data?5
Data-driven batch detection enhances single-cell omics data analysis5
DeST-OT: Alignment of spatiotemporal transcriptomics data5
High-throughput characterization of mutations in genes that drive clonal evolution using multiplex adaptome capture sequencing5
Convolutions are competitive with transformers for protein sequence pretraining5
A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens5
A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery5
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species5
Systematic analysis of the MAPK signaling network reveals MAP3K-driven control of cell fate5
Modeling non-genetic adaptation in tumor cells5
Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer5
Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer5
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations5
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut5
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors5
How do you anticipate computational protein design will change biotechnology and therapeutic development?5
Multilevel relations among plankton stitched together with an eco-evolutionary needle5
Fundamentals to function: Quantitative and scalable approaches for measuring protein stability5
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