Cell Systems

Papers
(The TQCC of Cell Systems is 16. 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 2022-08-01 to 2026-08-01.)
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 responses425
Statistical modeling and analysis of cell counts from multiplexed imaging data210
Engineering functional materials through bacteria-assisted living grafting132
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals128
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics117
A combinatorial transcription factor screening platform for immune cell reprogramming116
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line112
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification99
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites91
A data-driven modeling framework for mapping genotypes to synthetic microbial community functions88
Pitfalls of genotyping microbial communities with rapidly growing genome collections67
A framework for ultra-low-input spatial tissue proteomics61
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?60
Context-informed subgraph foundation models enable interpretable protein-function prediction57
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition55
Diclofenac and acetaminophen dim the acute-phase response but amplify expression of the iron regulator hepcidin in liver cancer cells53
What are the current bottlenecks in developing and applying CRISPR technologies?53
Evolutionary paths that link orthogonal pairs of binding proteins51
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture49
Identifying maximally informative signal-aware representations of single-cell data using the information bottleneck49
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation48
Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling46
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE45
From modality-specific to compositional foundation models for cell biology45
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning44
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks43
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation43
Quantifying protein unfolding kinetics with a high-throughput microfluidic platform43
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors40
How can concepts from ecology enable insights about cellular communities?39
The electrostatic landscape of MHC-peptide binding revealed using inception networks37
Modeling elucidates context dependence in adipose regulation36
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing36
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors36
Translation elongation as a rate-limiting step of protein production35
Mapping combinatorial expression perturbations to growth in Escherichia coli34
The metallome and the biological periodic table: A metal atlas in cells32
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA32
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden32
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration31
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities31
NOT-gated chimeric antigen receptor circuits in T and NK cells31
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing31
The structure is the message: Preserving experimental context through tensor decomposition31
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs30
A top variant identification pipeline for protein engineering30
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues30
Environmental modulators of algae-bacteria interactions at scale30
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data29
DynamicGT: A dynamic-aware geometric transformer model to predict protein-binding interfaces in flexible and disordered regions29
A three-node Turing gene circuit forms periodic spatial patterns in bacteria28
High-throughput machine learning-aided antibody discovery for cell surface antigens28
A complete allosteric map of a GTPase switch in its native cellular network28
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape28
Scalable enumeration and sampling of minimal metabolic pathways for organisms and communities27
Identifying microbial protease allergens through protein language model-guided homology27
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells26
Coupled oscillator cooperativity as a control mechanism in chronobiology26
Transcriptional memory formation: Battles between transcription factors and repressive chromatin25
Recent progress of gene circuit designs in immune cell therapies25
A multi-scale map of protein assemblies in the DNA damage response24
Systematic screening for functional exon-skipping isoforms using the CRISPR-RfxCas13d system24
The molecular landscape of cellular metal ion biology24
The substrate quality of CK2 target sites has a determinant role on their function and evolution24
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature24
Pooled combinatorial screening identifies transcription factor sets that drive hematopoietic progenitor-like cell fate24
Capturing the dynamics of STAT6 macrophage polarization using bioluminescence temporal signatures23
Learning antibody sequence constraints from allelic inclusion23
Self-organization of plasticity and specialization in a primitively social insect23
Ectopic expression to synthetic design: Deriving engineering principles of lncRNA-mediated epigenetic regulation23
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation23
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers23
Harnessing heterogeneity for the rational design of cell manufacturing23
Transcriptional competition biases the effects of second messengers in Escherichia coli23
Observations and implication of thermal tolerance in the Arabidopsis proteome23
Tumor-adipose assembloids reveal cell-fate-transition-triggered multistage collective invasions22
Recurrent neural chemical reaction networks that approximate arbitrary dynamics22
Programmable regenerative tissues: Converging mammalian synthetic biology and tissue engineering22
Discovering what is possible: How synthetic biology illuminates development22
All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics22
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes22
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states22
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy22
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning22
Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning21
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution21
Cold and hot fibrosis define clinically distinct cardiac pathologies21
Resource competition shapes CRISPR-mediated gene activation21
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation21
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs20
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution20
The community-function landscape of microbial consortia20
Widespread alteration of protein autoinhibition in human cancers20
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
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference20
Unveiling the hidden network of STING’s subcellular regulation19
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection19
Dango: Predicting higher-order genetic interactions19
Systematic genome-wide mapping of host determinants of bacteriophage infectivity19
Deep visual proteomics reveals an in vivo-like phenotype of orthotopically transplanted human colon organoids18
Disobind: A sequence-based, partner-dependent contact map and interface residue predictor for intrinsically disordered regions18
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces18
Morphology and gene expression profiling provide complementary information for mapping cell state18
Single-cell colocalization analysis using a deep generative model18
Studying stochastic systems biology of the cell with single-cell genomics data18
Glycoform engineering of a mammalian platform to sculpt a humanized recombinant bioscavenger18
Entrainment and multi-stability of the p53 oscillator in human cells17
Foundation model reveals the shared organization of transcription and topologically associating domains17
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth17
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities17
Contrastive learning of T cell receptor representations17
The metabolome of an E. coli CRISPRi library identifies benefits of minimal metabolite levels and targets for engineering17
Uncovering the principles coordinating systems-level organelle biogenesis with cellular growth17
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
Automated single-cell omics end-to-end framework with data-driven batch inference16
How well do contextual protein encodings learn structure, function, and evolutionary context?16
Somatic XIST activation and features of X chromosome inactivation in male human cancers16
What can recent methodological advances help us understand about protein and genome evolution?16
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