Cell Systems

Papers
(The TQCC of Cell Systems is 17. 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
A forecast for large-scale, predictive biology: Lessons from meteorology57
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
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks56
The geometry of cell fate56
Mapping the multiscale structure of biological systems56
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
Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health31
The structure of the human cell cycle31
Transcriptional memory formation: Battles between transcription factors and repressive chromatin30
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
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
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
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution22
Ligand-receptor promiscuity enables cellular addressing21
The community-function landscape of microbial consortia21
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
Cold and hot fibrosis define clinically distinct cardiac pathologies20
Unveiling the hidden network of STING’s subcellular regulation19
Modular microenvironment components reproduce vascular dynamics de novo in a multi-scale agent-based model19
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
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution18
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
Functional attractors in microbial community assembly17
Studying stochastic systems biology of the cell with single-cell genomics data17
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