Cell Systems

Papers
(The TQCC of Cell Systems is 15. 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
Diclofenac and acetaminophen dim the acute-phase response but amplify expression of the iron regulator hepcidin in liver cancer cells43
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
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks42
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
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
Identifying microbial protease allergens through protein language model-guided homology28
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
A three-node Turing gene circuit forms periodic spatial patterns in bacteria27
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells27
Transcriptional memory formation: Battles between transcription factors and repressive chromatin26
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
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
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells20
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
Resource competition shapes CRISPR-mediated gene activation19
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
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
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