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 2021-04-01 to 2025-04-01.)
ArticleCitations
Approaching deconvolution with Fermi’s mindset332
Modeling non-genetic adaptation in tumor cells212
Spatial transcriptomics-aided localization for single-cell transcriptomics with STALocator164
DeST-OT: Alignment of spatiotemporal transcriptomics data155
Subspecies phylogeny in the human gut revealed by co-evolutionary constraints across the bacterial kingdom153
Highly parallel production of designer organoids by mosaic patterning of progenitors146
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning103
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors94
Observations and implication of thermal tolerance in the Arabidopsis proteome92
Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling91
Self-organization of plasticity and specialization in a primitively social insect91
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species90
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals88
How has the AI boom impacted algorithmic biology?79
Periodic spatial patterning with a single morphogen78
Pitfalls of genotyping microbial communities with rapidly growing genome collections78
Unraveling phenotypic plasticity and evolution in small cell lung cancer76
Minding the gaps: The importance of navigating holes in protein fitness landscapes75
Reproducibility metrics for context-specific CRISPR screens69
Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome67
Seeds of their own destruction: Dominant-negative peptide screening yields functional insight and therapeutic leads65
ImmunoTyper-SR: A computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data63
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers61
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut60
Advancing remote homology detection: A step toward understanding and accurately predicting protein function60
What are the keys to succeeding as a computational biologist in today’s research climate?60
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses57
Group dynamics goes awry: PolyQ-expanded huntingtin gains unwanted partners56
Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework55
Context matters: DNA virus infection reshapes DNA damage response pathways55
Deep computational analysis details dysregulation of eukaryotic translation initiation complex eIF4F in human cancers54
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework54
What cannot be seen correctly in 2D visualizations of single-cell ‘omics data?54
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations52
A tale of two rhythms: Locked clocks and chaos in biology52
The resilience of Ukrainian scientists51
Startle: A star homoplasy approach for CRISPR-Cas9 lineage tracing51
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition50
Evaluation of De Vries et al.: Quantifying cellular shapes and how they correlate to cellular responses50
What is the key challenge in engineering microbiomes?50
Decoupled degradation and translation enables noise modulation by poly(A) tails50
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy47
Alignment of single-cell trajectories by tuMap enables high-resolution quantitative comparison of cancer samples45
Engineering highly active nuclease enzymes with machine learning and high-throughput screening44
Becoming fluent in proteins44
Sustainable protein regeneration in encapsulated materials43
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line42
Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons41
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics40
A synthetic gene circuit for imaging-free detection of signaling pulses37
Engineering functional materials through bacteria-assisted living grafting37
A framework for ultra-low-input spatial tissue proteomics37
Biological feedback control—Respect the loops35
Network analysis of Arabidopsis mitochondrial dynamics reveals a resolved tradeoff between physical distribution and social connectivity34
Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines34
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells33
Systematically quantifying morphological features reveals constraints on organoid phenotypes32
A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery31
Convolutions are competitive with transformers for protein sequence pretraining31
Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma31
NAD+ flux is maintained in aged mice despite lower tissue concentrations30
Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection29
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes28
Data-driven batch detection enhances single-cell omics data analysis28
Human plasma IgG1 repertoires are simple, unique, and dynamic27
The trans-regulatory landscape of gene networks in plants26
ProGen2: Exploring the boundaries of protein language models26
Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors26
Systematic analysis of the MAPK signaling network reveals MAP3K-driven control of cell fate26
High-throughput discovery and characterization of viral transcriptional effectors in human cells26
Which image-based phenotypes are most promising for using AI to understand cellular functions and why?25
Making sense of BMP signaling complexity25
SEMPER: Stoichiometric expression of mRNA polycistrons by eukaryotic ribosomes for compact, ratio-tunable multi-gene expression25
Multilevel relations among plankton stitched together with an eco-evolutionary needle25
Minimal synthetic enhancers reveal control of the probability of transcriptional engagement and its timing by a morphogen gradient25
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition25
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning25
Controlling the human microbiome25
Transcriptional activators in the early Drosophila embryo perform different kinetic roles24
How do you anticipate computational protein design will change biotechnology and therapeutic development?24
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells24
Sparse dictionary learning recovers pleiotropy from human cell fitness screens23
The unreasonable effectiveness of equilibrium gene regulation through the cell cycle22
RepairSig: Deconvolution of DNA damage and repair contributions to the mutational landscape of cancer22
The in silico lab: Improving academic code using lessons from biology22
pH and buffering capacity: Fundamental yet underappreciated drivers of algal-bacterial interactions22
Tissue-specific enhancer functional networks for associating distal regulatory regions to disease22
Advances in ligand-specific biosensing for structurally similar molecules22
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states22
Tracking the gene expression programs and clonal relationships that underlie mast, myeloid, and T lineage specification from stem cells22
More is different with a vengeance22
Localized electrical stimulation triggers cell-type-specific proliferation in biofilms21
The need for speed: Migratory cells in tight spaces boost their molecular clock20
Mapping the dynamic transfer functions of eukaryotic gene regulation20
Versatile system cores as a conceptual basis for generality in cell and developmental biology19
Synthetic gene networks recapitulate dynamic signal decoding and differential gene expression19
Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer19
Archetype tasks link intratumoral heterogeneity to plasticity and cancer hallmarks in small cell lung cancer18
A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia18
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation18
BayesTME: An end-to-end method for multiscale spatial transcriptional profiling of the tissue microenvironment17
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution17
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?17
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks17
Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer17
Should biology put complexity first?16
High-throughput characterization of mutations in genes that drive clonal evolution using multiplex adaptome capture sequencing16
Accurate top protein variant discovery via low-N pick-and-validate machine learning16
Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones15
AutoGeneS: Automatic gene selection using multi-objective optimization for RNA-seq deconvolution15
Assembling stable syntrophic Escherichia coli communities by comprehensively identifying beneficiaries of secreted goods15
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation15
Fundamentals to function: Quantitative and scalable approaches for measuring protein stability15
A new age in protein design empowered by deep learning14
Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations14
Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering14
Tissue module discovery in single-cell-resolution spatial transcriptomics data via cell-cell interaction-aware cell embedding13
Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation13
Perfect adaptation in biology13
The context-dependent, combinatorial logic of BMP signaling13
Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset13
D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions13
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture13
Context-aware synthetic biology by controller design: Engineering the mammalian cell13
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments13
Learning protein fitness landscapes with deep mutational scanning data from multiple sources13
Advances in systems biology modeling: 10 years of crowdsourcing DREAM challenges13
Cold and hot fibrosis define clinically distinct cardiac pathologies13
Ligand-receptor promiscuity enables cellular addressing13
Virtual screening for small-molecule pathway regulators by image-profile matching12
Parallel engineering and activity profiling of a base editor system12
What are the current bottlenecks in developing and applying CRISPR technologies?12
A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens12
Single-cell co-expression analysis reveals that transcriptional modules are shared across cell types in the brain12
Synthetic symmetry breaking and programmable multicellular structure formation12
Assembly of stool-derived bacterial communities follows “early-bird” resource utilization dynamics12
Rationally reprogramming single-cell aging trajectories and lifespan through dynamic modulation of environmental inputs11
Homeostasis11
A microwell platform for high-throughput longitudinal phenotyping and selective retrieval of organoids11
What differentiates a stress response from responsiveness in general?11
Evaluation of Geuenich et al.: Targeting a crucial bottleneck for analyzing single-cell multiplexed imaging data11
Informed training set design enables efficient machine learning-assisted directed protein evolution11
Tissue Schematics: A framework to decipher tissue architecture and assembly11
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation11
The community-function landscape of microbial consortia11
Evo-velocity: Protein language modeling accelerates the study of evolution10
Gene-by-gene screen of the unknown proteins encoded on Plasmodium falciparum chromosome 310
Synthetically programmed antioxidant delivery by a domesticated skin commensal10
Modular microenvironment components reproduce vascular dynamics de novo in a multi-scale agent-based model10
What are the current driving questions in immune repertoire research?10
What do you most hope spatial molecular profiling will help us understand? Part 110
Dysregulation of the secretory pathway connects Alzheimer’s disease genetics to aggregate formation10
What is the main bottleneck in deriving biological understanding from spatial transcriptomic profiling?10
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors9
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference9
What do you most want to understand about how collective features emerge in microbial communities?9
SIGNAL: A web-based iterative analysis platform integrating pathway and network approaches optimizes hit selection from genome-scale assays9
What do you most hope spatial molecular profiling will help us understand? Part 29
Contrastive learning of T cell receptor representations9
Engineering allosteric transcription factors guided by the LacI topology8
HOGVAX: Exploiting epitope overlaps to maximize population coverage in vaccine design with application to SARS-CoV-28
Unveiling the hidden network of STING’s subcellular regulation8
Widespread alteration of protein autoinhibition in human cancers8
High immigration rates critical for establishing emigration-driven diversity in microbial communities8
How can concepts from ecology enable insights about cellular communities?8
Discovery of regulatory motifs in 5′ untranslated regions using interpretable multi-task learning models8
The structure of the human cell cycle8
Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter8
CDK2 activity crosstalk on the ERK kinase translocation reporter can be resolved computationally7
DNA-PK and ATM drive phosphorylation signatures that antagonistically regulate cytokine responses to herpesvirus infection or DNA damage7
Nonparametric single-cell multiomic characterization of trio relationships between transcription factors, target genes, and cis-regulatory regions7
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection7
Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes7
Microengineered in vitro CAR T cell screens and assays7
Stimulus-response signaling dynamics characterize macrophage polarization states7
Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity7
A forecast for large-scale, predictive biology: Lessons from meteorology6
Metabolic immunoengineering approaches to enhance CD8+ T cell-based cancer immunotherapy6
The time-resolved genomic impact of Wnt/β-catenin signaling6
Transcriptome data are insufficient to control false discoveries in regulatory network inference6
Integrated, data-driven health management: A step closer to personalized and predictive healthcare6
Systematic screens for fertility genes essential for malaria parasite transmission reveal conserved aspects of sex in a divergent eukaryote6
Analysis of scientific society honors reveals disparities6
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks6
Optimized reporters for multiplexed detection of transcription factor activity6
Quantifying stimulus-response specificity to probe the functional state of macrophages6
Inferring metabolic objectives and trade-offs in single cells during embryogenesis6
The geometry of cell fate6
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli6
Democratizing long-read genome assembly6
Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity6
Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting5
Macrophage memory emerges from coordinated transcription factor and chromatin dynamics5
Studying stochastic systems biology of the cell with single-cell genomics data5
Minimizer-space de Bruijn graphs: Whole-genome assembly of long reads in minutes on a personal computer5
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth5
A time-resolved proteomic and prognostic map of COVID-195
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation5
Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders5
Proliferation history and transcription factor levels drive direct conversion to motor neurons5
Morphology and gene expression profiling provide complementary information for mapping cell state5
Truncated protein isoforms generate diversity of protein localization and function in yeast5
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution5
Single-cell colocalization analysis using a deep generative model5
Modeling the complete kinetics of coxsackievirus B3 reveals human determinants of host-cell feedback5
Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter5
Self-resistance-gene-guided, high-throughput automated genome mining of bioactive natural products from Streptomyces5
Acute response to pathogens in the early human placenta at single-cell resolution5
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces5
Systematic identification of transcriptional activation domains from non-transcription factor proteins in plants and yeast5
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