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 2021-11-01 to 2025-11-01.)
ArticleCitations
Approaching deconvolution with Fermi’s mindset274
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses183
Statistical modeling and analysis of cell counts from multiplexed imaging data143
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites124
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification111
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals107
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics106
A framework for ultra-low-input spatial tissue proteomics94
Pitfalls of genotyping microbial communities with rapidly growing genome collections91
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line83
Engineering functional materials through bacteria-assisted living grafting82
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?82
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE78
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments77
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition76
What are the current bottlenecks in developing and applying CRISPR technologies?76
Evolutionary paths that link orthogonal pairs of binding proteins72
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks71
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture71
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation65
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning65
Homeostasis64
What differentiates a stress response from responsiveness in general?63
The structure of the human cell cycle62
The geometry of cell fate61
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation56
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks54
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors53
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease52
How can concepts from ecology enable insights about cellular communities?50
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation49
Modeling elucidates context dependence in adipose regulation48
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing47
The structure is the message: Preserving experimental context through tensor decomposition43
Mapping combinatorial expression perturbations to growth in Escherichia coli41
The metallome and the biological periodic table: A metal atlas in cells41
The electrostatic landscape of MHC-peptide binding revealed using inception networks40
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden39
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration38
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing37
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA37
Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions35
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors35
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues35
Consequential drug combinations for tuberculosis treatments35
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs34
Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health34
A three-node Turing gene circuit forms periodic spatial patterns in bacteria34
A top variant identification pipeline for protein engineering33
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities32
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data32
A complete allosteric map of a GTPase switch in its native cellular network32
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells31
The structure of the human cell cycle30
Coupled oscillator cooperativity as a control mechanism in chronobiology30
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape30
Identifying features of genome evolution to exploit cancer vulnerabilities29
Environmental modulators of algae-bacteria interactions at scale29
Systematic screening for functional exon-skipping isoforms using the CRISPR-RfxCas13d system28
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
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature27
A convergent molecular network underlying autism and congenital heart disease26
Noise distorts the epigenetic landscape and shapes cell-fate decisions26
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data26
Transcriptional memory formation: Battles between transcription factors and repressive chromatin26
Recent progress of gene circuit designs in immune cell therapies25
Multiomic profiling of the liver across diets and age in a diverse mouse population25
A multi-scale map of protein assemblies in the DNA damage response25
Observations and implication of thermal tolerance in the Arabidopsis proteome25
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers24
Tumor-adipose assembloids reveal cell-fate-transition-triggered multistage collective invasions23
Human plasma IgG1 repertoires are simple, unique, and dynamic23
All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics23
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells22
Minding the gaps: The importance of navigating holes in protein fitness landscapes22
Learning antibody sequence constraints from allelic inclusion22
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning22
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy22
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes21
Self-organization of plasticity and specialization in a primitively social insect21
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs21
The need for speed: Migratory cells in tight spaces boost their molecular clock21
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells21
Accurate top protein variant discovery via low-N pick-and-validate machine learning21
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states21
Cold and hot fibrosis define clinically distinct cardiac pathologies20
Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning20
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution19
Tissue Schematics: A framework to decipher tissue architecture and assembly19
Ligand-receptor promiscuity enables cellular addressing19
The community-function landscape of microbial consortia19
Evaluation of Geuenich et al.: Targeting a crucial bottleneck for analyzing single-cell multiplexed imaging data18
Contrastive learning of T cell receptor representations18
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference18
Unveiling the hidden network of STING’s subcellular regulation18
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth17
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution17
Systematic genome-wide mapping of host determinants of bacteriophage infectivity17
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities17
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces17
Functional attractors in microbial community assembly17
Deep visual proteomics reveals an in vivo-like phenotype of orthotopically transplanted human colon organoids16
Widespread alteration of protein autoinhibition in human cancers16
Morphology and gene expression profiling provide complementary information for mapping cell state16
Studying stochastic systems biology of the cell with single-cell genomics data16
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection16
How well do contextual protein encodings learn structure, function, and evolutionary context?16
Single-cell colocalization analysis using a deep generative model16
What can recent methodological advances help us understand about protein and genome evolution?16
Entrainment and multi-stability of the p53 oscillator in human cells15
TissueMosaic: Self-supervised learning of tissue representations enables differential spatial transcriptomics across samples15
Somatic XIST activation and features of X chromosome inactivation in male human cancers15
Uncovering the principles coordinating systems-level organelle biogenesis with cellular growth15
Active learning of enhancers and silencers in the developing neural retina15
Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity14
Automated single-cell omics end-to-end framework with data-driven batch inference14
Enhanced cellular longevity arising from environmental fluctuations14
FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions14
Biphasic JNK-Erk signaling separates the induction and maintenance of cell senescence after DNA damage induced by topoisomerase II inhibition14
Privacy-preserving genotype imputation with fully homomorphic encryption14
Assessing generative model coverage of protein structures with SHAPES14
Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity14
Emerging questions in transcriptional regulation14
Promoter DNA methylation and transcription factor condensation are linked to transcriptional memory in mammalian cells14
Lactate-dependent chaperone-mediated autophagy induces oscillatory HIF-1α activity promoting proliferation of hypoxic cells13
Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models13
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
Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy13
Deep-learning-based design of synthetic orthologs of SH3 signaling domains13
MitoNet: A generalizable model for segmentation of individual mitochondria within electron microscopy datasets13
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
Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains12
What limits our ability to study the effects of microbial diversity on health and the environment?12
Reproducibility metrics for context-specific CRISPR screens12
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition11
Periodic spatial patterning with a single morphogen11
Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors11
Versatile system cores as a conceptual basis for generality in cell and developmental biology10
Learning protein fitness landscapes with deep mutational scanning data from multiple sources10
A new age in protein design empowered by deep learning10
Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation10
A systems view of cellular heterogeneity: Unlocking the “wheel of fate”10
The in silico lab: Improving academic code using lessons from biology10
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
What do you most hope spatial molecular profiling will help us understand? Part 210
Integrase enables synthetic intercellular logic via bacterial conjugation10
NAD+ flux is maintained in aged mice despite lower tissue concentrations10
Assembly of stool-derived bacterial communities follows “early-bird” resource utilization dynamics10
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation10
Transcriptional activators in the early Drosophila embryo perform different kinetic roles10
Evo-velocity: Protein language modeling accelerates the study of evolution10
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
Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells9
A trade-off between stress resistance and tolerance underlies the adaptive response to hydrogen peroxide9
Biophysical metabolic modeling of complex bacterial colony morphology9
Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models9
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli9
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
Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity9
The time-resolved genomic impact of Wnt/β-catenin signaling9
Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes9
Evaluation of Lee et al.: Clarity and interpretation of mutual information in promoter transfer functions8
DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods8
Control points for design of taxonomic composition in synthetic human gut communities8
Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions8
Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle8
Information theory entering soils and tissues8
Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens8
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs8
Modes and motifs in multicellular communication8
Self-resistance-gene-guided, high-throughput automated genome mining of bioactive natural products from Streptomyces8
High-throughput functional characterization of combinations of transcriptional activators and repressors8
Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting8
The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community8
Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development7
Evaluation of Ravindran et al.: Real-time detection of signaling pulses in vivo: making cells monitor themselves7
The master regulator OxyR orchestrates bacterial oxidative stress response genes in space and time7
Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells7
Cracking the code of adaptive immunity: The role of computational tools7
On knowing a gene: A distributional hypothesis of gene function7
Benchmarking transcriptional host response signatures for infection diagnosis7
Allele-specific genomic data elucidate the role of somatic gain and copy-number neutral loss of heterozygosity in cancer7
Chemotherapy modulation by a cancer-associated microbiota metabolite7
Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques7
A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment7
Systems genetics of metabolic health in the BXD mouse genetic reference population7
How can Waddington-like landscapes facilitate insights beyond developmental biology?7
Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis7
Evaluation of Choudhary et al.: Single-cell gene expression dynamics in the E. coli oxidative stress response network7
Reframing the role of the objective function in its proper context for metabolic network modeling7
Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening6
Modeling non-genetic adaptation in tumor cells6
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations6
Tailoring microbial fitness through computational steering and CRISPRi-driven robustness regulation6
Cell-free recombinase-integrated Boolean output system6
Highly parallel production of designer organoids by mosaic patterning of progenitors6
IgLM: Infilling language modeling for antibody sequence design6
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species6
Multilevel relations among plankton stitched together with an eco-evolutionary needle5
Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer5
A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens5
What cannot be seen correctly in 2D visualizations of single-cell ‘omics data?5
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors5
Convolutions are competitive with transformers for protein sequence pretraining5
Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling5
Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer5
The unreasonable effectiveness of equilibrium gene regulation through the cell cycle5
The context-dependent, combinatorial logic of BMP signaling5
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut5
Challenges in interpreting functional redundancy and quantifying functional selection in microbial communities5
What is the key challenge in engineering microbiomes?5
T cell receptor cross-reactivity prediction improved by a comprehensive mutational scan database5
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework5
What is the current bottleneck in mapping molecular interaction networks?5
How do you anticipate computational protein design will change biotechnology and therapeutic development?5
Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones5
Data-driven batch detection enhances single-cell omics data analysis5
DeST-OT: Alignment of spatiotemporal transcriptomics data5
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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