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 2021-04-01 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
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
Deep computational analysis details dysregulation of eukaryotic translation initiation complex eIF4F in human cancers54
A tale of two rhythms: Locked clocks and chaos in biology52
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations52
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
Data-driven batch detection enhances single-cell omics data analysis28
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes28
Human plasma IgG1 repertoires are simple, unique, and dynamic27
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
The trans-regulatory landscape of gene networks in plants26
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
Advances in ligand-specific biosensing for structurally similar molecules22
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
More is different with a vengeance22
pH and buffering capacity: Fundamental yet underappreciated drivers of algal-bacterial interactions22
Tissue-specific enhancer functional networks for associating distal regulatory regions to disease22
The in silico lab: Improving academic code using lessons from biology22
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
Localized electrical stimulation triggers cell-type-specific proliferation in biofilms21
Mapping the dynamic transfer functions of eukaryotic gene regulation20
The need for speed: Migratory cells in tight spaces boost their molecular clock20
Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer19
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
TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation18
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
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
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
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