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 2022-05-01 to 2026-05-01.)
ArticleCitations
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification370
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses184
Pitfalls of genotyping microbial communities with rapidly growing genome collections117
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals108
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line107
A framework for ultra-low-input spatial tissue proteomics103
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites102
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics92
Approaching deconvolution with Fermi’s mindset87
Statistical modeling and analysis of cell counts from multiplexed imaging data81
A combinatorial transcription factor screening platform for immune cell reprogramming77
Engineering functional materials through bacteria-assisted living grafting75
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?74
Evolutionary paths that link orthogonal pairs of binding proteins69
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks61
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE58
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation57
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments56
Context-informed subgraph foundation models enable interpretable protein-function prediction52
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition50
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning49
Identifying maximally informative signal-aware representations of single-cell data using the information bottleneck49
From modality-specific to compositional foundation models for cell biology45
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture44
What are the current bottlenecks in developing and applying CRISPR technologies?43
Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling43
Diclofenac and acetaminophen dim the acute-phase response but amplify expression of the iron regulator hepcidin in liver cancer cells43
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation42
How can concepts from ecology enable insights about cellular communities?42
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks42
Mapping combinatorial expression perturbations to growth in Escherichia coli41
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors41
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing40
Translation elongation as a rate-limiting step of protein production38
The electrostatic landscape of MHC-peptide binding revealed using inception networks37
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden37
The metallome and the biological periodic table: A metal atlas in cells35
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing34
The structure is the message: Preserving experimental context through tensor decomposition33
Modeling elucidates context dependence in adipose regulation33
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration33
NOT-gated chimeric antigen receptor circuits in T and NK cells32
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities30
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA30
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors30
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs29
DynamicGT: A dynamic-aware geometric transformer model to predict protein-binding interfaces in flexible and disordered regions29
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues29
A top variant identification pipeline for protein engineering28
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape28
A complete allosteric map of a GTPase switch in its native cellular network28
Coupled oscillator cooperativity as a control mechanism in chronobiology28
Identifying microbial protease allergens through protein language model-guided homology28
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells27
A three-node Turing gene circuit forms periodic spatial patterns in bacteria27
Environmental modulators of algae-bacteria interactions at scale26
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data26
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature26
Transcriptional memory formation: Battles between transcription factors and repressive chromatin26
The substrate quality of CK2 target sites has a determinant role on their function and evolution25
Ectopic expression to synthetic design: Deriving engineering principles of lncRNA-mediated epigenetic regulation24
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers23
Recent progress of gene circuit designs in immune cell therapies23
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells23
A multi-scale map of protein assemblies in the DNA damage response23
Observations and implication of thermal tolerance in the Arabidopsis proteome23
Systematic screening for functional exon-skipping isoforms using the CRISPR-RfxCas13d system23
Learning antibody sequence constraints from allelic inclusion22
Self-organization of plasticity and specialization in a primitively social insect22
Harnessing heterogeneity for the rational design of cell manufacturing22
Tumor-adipose assembloids reveal cell-fate-transition-triggered multistage collective invasions22
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation21
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning21
All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics21
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy21
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes21
Recurrent neural chemical reaction networks that approximate arbitrary dynamics21
The need for speed: Migratory cells in tight spaces boost their molecular clock21
Accurate top protein variant discovery via low-N pick-and-validate machine learning20
Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning20
Ligand-receptor promiscuity enables cellular addressing20
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states20
Cold and hot fibrosis define clinically distinct cardiac pathologies20
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells20
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution19
The community-function landscape of microbial consortia19
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs19
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation19
Resource competition shapes CRISPR-mediated gene activation19
Disobind: A sequence-based, partner-dependent contact map and interface residue predictor for intrinsically disordered regions18
Systematic genome-wide mapping of host determinants of bacteriophage infectivity18
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces18
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution18
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection18
Unveiling the hidden network of STING’s subcellular regulation18
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference18
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states17
Modeling chimeric antigen receptor response at the single-cell level with conditional optimal transport17
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth17
Studying stochastic systems biology of the cell with single-cell genomics data17
Dango: Predicting higher-order genetic interactions17
Deep visual proteomics reveals an in vivo-like phenotype of orthotopically transplanted human colon organoids17
Single-cell colocalization analysis using a deep generative model17
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities17
Morphology and gene expression profiling provide complementary information for mapping cell state16
Widespread alteration of protein autoinhibition in human cancers16
What can recent methodological advances help us understand about protein and genome evolution?16
Contrastive learning of T cell receptor representations16
Entrainment and multi-stability of the p53 oscillator in human cells15
Somatic XIST activation and features of X chromosome inactivation in male human cancers15
Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity15
MitoNet: A generalizable model for segmentation of individual mitochondria within electron microscopy datasets15
Automated single-cell omics end-to-end framework with data-driven batch inference15
Active learning of enhancers and silencers in the developing neural retina15
Biphasic JNK-Erk signaling separates the induction and maintenance of cell senescence after DNA damage induced by topoisomerase II inhibition15
Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity15
How well do contextual protein encodings learn structure, function, and evolutionary context?15
Uncovering the principles coordinating systems-level organelle biogenesis with cellular growth15
The impact of package selection and versioning on single-cell RNA-seq analysis15
TissueMosaic: Self-supervised learning of tissue representations enables differential spatial transcriptomics across samples15
Promoter DNA methylation and transcription factor condensation are linked to transcriptional memory in mammalian cells14
Deep-learning-based design of synthetic orthologs of SH3 signaling domains14
Enhanced cellular longevity arising from environmental fluctuations14
A molecular clock controls periodically driven cell migration in confined spaces14
Refactoring two-component systems for tunable gene expression regulation and upgraded bacterial sensing14
Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy14
Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models14
Emerging questions in transcriptional regulation14
A community reconstruction of Chinese hamster metabolism and structural systems biology elucidate metabolic rewiring in lactate-free CHO cells13
What limits our ability to study the effects of microbial diversity on health and the environment?13
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences13
Assessing generative model coverage of protein structures with SHAPES13
FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions13
Lactate-dependent chaperone-mediated autophagy induces oscillatory HIF-1α activity promoting proliferation of hypoxic cells13
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition12
Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons12
The metabolome of an E. coli CRISPRi library identifies benefits of minimal metabolite levels and targets for engineering12
High-throughput mapping of modular regulatory domains in human RNA-binding proteins12
Risk-averse optimization of genetic circuits under uncertainty12
We wait for disease to shout—What if we listened when biology whispered?12
Transcriptional activators in the early Drosophila embryo perform different kinetic roles12
Periodic spatial patterning with a single morphogen12
Interpretable data integration for single-cell and spatial multi-omics12
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation12
The in silico lab: Improving academic code using lessons from biology12
Reproducibility metrics for context-specific CRISPR screens12
Systemic rhythmicity of host and bacterial bile acid amidates in the mouse12
Learning protein fitness landscapes with deep mutational scanning data from multiple sources11
Parallel engineering and activity profiling of a base editor system11
Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset11
Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces11
Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation11
A new age in protein design empowered by deep learning11
Assembly of stool-derived bacterial communities follows “early-bird” resource utilization dynamics11
Versatile system cores as a conceptual basis for generality in cell and developmental biology11
Integrase enables synthetic intercellular logic via bacterial conjugation10
Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models10
Gene-by-gene screen of the unknown proteins encoded on Plasmodium falciparum chromosome 310
Biophysical metabolic modeling of complex bacterial colony morphology10
Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions10
What do you most hope spatial molecular profiling will help us understand? Part 210
A systems view of cellular heterogeneity: Unlocking the “wheel of fate”10
Self-resistance-gene-guided, high-throughput automated genome mining of bioactive natural products from Streptomyces10
Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter10
Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity10
A trade-off between stress resistance and tolerance underlies the adaptive response to hydrogen peroxide10
What questions currently beyond reach do you hope systems approaches will enable addressing in the next decade?10
Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders10
What do you most hope we will achieve with mammalian synthetic biology within the next decade?10
Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells9
Information theory entering soils and tissues9
Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes9
Truncated protein isoforms generate diversity of protein localization and function in yeast9
Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting9
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli9
Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens9
The time-resolved genomic impact of Wnt/β-catenin signaling9
Lighting up hidden microbial enzyme diversity and functional opportunities from fermented foods8
The hierarchical timescale hypothesis: Functional and structural convergence of biological networks and artificial neural nets8
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs8
Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle8
Control points for design of taxonomic composition in synthetic human gut communities8
High-throughput functional characterization of combinations of transcriptional activators and repressors8
The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community8
DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods8
Benchmarking transcriptional host response signatures for infection diagnosis7
The master regulator OxyR orchestrates bacterial oxidative stress response genes in space and time7
Systems genetics of metabolic health in the BXD mouse genetic reference population7
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
Modes and motifs in multicellular communication7
Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells7
Reframing the role of the objective function in its proper context for metabolic network modeling7
On knowing a gene: A distributional hypothesis of gene function7
TarDis: Achieving robust and structured disentanglement of multiple covariates7
Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development7
Haplotype-resolved reconstruction and functional interrogation of cancer karyotypes7
Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis7
Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening7
Cracking the code of adaptive immunity: The role of computational tools7
Evaluation of Choudhary et al.: Single-cell gene expression dynamics in the E. coli oxidative stress response network7
Cell-free recombinase-integrated Boolean output system6
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework6
What cannot be seen correctly in 2D visualizations of single-cell ‘omics data?6
IgLM: Infilling language modeling for antibody sequence design6
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations6
Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer6
T cell receptor cross-reactivity prediction improved by a comprehensive mutational scan database6
Systematic analysis of the MAPK signaling network reveals MAP3K-driven control of cell fate6
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors6
Data-driven batch detection enhances single-cell omics data analysis6
Tailoring microbial fitness through computational steering and CRISPRi-driven robustness regulation6
Modeling non-genetic adaptation in tumor cells6
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut6
Challenges in interpreting functional redundancy and quantifying functional selection in microbial communities6
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species6
Phased fragility and stability of non-genetic B cell states in the germinal center accelerate the genetic evolution of antibodies6
A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment6
Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling6
What is the current bottleneck in mapping molecular interaction networks?5
What problem do you hope bioengineering or synthetic biology approaches will enable us to tackle in the next decade?5
Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer5
An adversarial scheme for integrating multi-modal data on protein function5
Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer5
Protein surface chemistry encodes an adaptive tolerance to desiccation5
Dynamics of genetic circuits in Pseudomonas protegens5
The unreasonable effectiveness of equilibrium gene regulation through the cell cycle5
Convolutions are competitive with transformers for protein sequence pretraining5
Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework5
Highly parallel production of designer organoids by mosaic patterning of progenitors5
Localized electrical stimulation triggers cell-type-specific proliferation in biofilms5
A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens5
Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones5
Multilevel relations among plankton stitched together with an eco-evolutionary needle5
What is the key challenge in engineering microbiomes?5
DeST-OT: Alignment of spatiotemporal transcriptomics data5
Molecular armor: Simple rules to keep proteins (re)soluble5
Antithetic integral feedback control redesigned for improved dynamics and lower noise5
How do you anticipate computational protein design will change biotechnology and therapeutic development?5
Integrating synthetic biology to understand and engineer the heart, lung, blood, and sleep systems5
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