OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification	384
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses	194
Statistical modeling and analysis of cell counts from multiplexed imaging data	119
Engineering functional materials through bacteria-assisted living grafting	113
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics	110
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals	107
A combinatorial transcription factor screening platform for immune cell reprogramming	104
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites	92
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line	86
A framework for ultra-low-input spatial tissue proteomics	81
Pitfalls of genotyping microbial communities with rapidly growing genome collections	70
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE	62
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning	60
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?	58
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments	58
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation	56
Context-informed subgraph foundation models enable interpretable protein-function prediction	54
Identifying maximally informative signal-aware representations of single-cell data using the information bottleneck	52
Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling	50
What are the current bottlenecks in developing and applying CRISPR technologies?	47
Diclofenac and acetaminophen dim the acute-phase response but amplify expression of the iron regulator hepcidin in liver cancer cells	46
Evolutionary paths that link orthogonal pairs of binding proteins	45
From modality-specific to compositional foundation models for cell biology	44
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition	44
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture	44

Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks	43
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation	42
How can concepts from ecology enable insights about cellular communities?	42
Mapping combinatorial expression perturbations to growth in Escherichia coli	41
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors	41
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing	38
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden	37
The electrostatic landscape of MHC-peptide binding revealed using inception networks	36
The metallome and the biological periodic table: A metal atlas in cells	36
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA	35
Modeling elucidates context dependence in adipose regulation	35
The structure is the message: Preserving experimental context through tensor decomposition	34
Translation elongation as a rate-limiting step of protein production	33
NOT-gated chimeric antigen receptor circuits in T and NK cells	32
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing	30
PanIN and CAF transitions in pancreatic carcinogenesis revealed with spatial data integration	30
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors	30
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs	29
Identifying microbial protease allergens through protein language model-guided homology	29
SPARROW reveals microenvironment-zone-specific cell states in healthy and diseased tissues	29
A top variant identification pipeline for protein engineering	29
Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape	29
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells	29
A complete allosteric map of a GTPase switch in its native cellular network	28
Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities	28
Environmental modulators of algae-bacteria interactions at scale	28
Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data	28
A three-node Turing gene circuit forms periodic spatial patterns in bacteria	27
Coupled oscillator cooperativity as a control mechanism in chronobiology	27
DynamicGT: A dynamic-aware geometric transformer model to predict protein-binding interfaces in flexible and disordered regions	26
Ectopic expression to synthetic design: Deriving engineering principles of lncRNA-mediated epigenetic regulation	25
Transcriptional memory formation: Battles between transcription factors and repressive chromatin	25
Recent progress of gene circuit designs in immune cell therapies	24
Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature	24
Transcriptional competition biases the effects of second messengers in Escherichia coli	24
A multi-scale map of protein assemblies in the DNA damage response	24
The substrate quality of CK2 target sites has a determinant role on their function and evolution	24
Systematic screening for functional exon-skipping isoforms using the CRISPR-RfxCas13d system	24
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers	23
Recurrent neural chemical reaction networks that approximate arbitrary dynamics	23
Self-organization of plasticity and specialization in a primitively social insect	23
Observations and implication of thermal tolerance in the Arabidopsis proteome	23
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy	23
Tumor-adipose assembloids reveal cell-fate-transition-triggered multistage collective invasions	22
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes	22
Harnessing heterogeneity for the rational design of cell manufacturing	22
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning	22
Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells	22
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation	22
Learning antibody sequence constraints from allelic inclusion	21

All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics	21
Engineering sensor-based antithetic integral controllers for enhanced dynamic performance and noise attenuation	21
The need for speed: Migratory cells in tight spaces boost their molecular clock	21
Cold and hot fibrosis define clinically distinct cardiac pathologies	21
Accurate top protein variant discovery via low-N pick-and-validate machine learning	20
The community-function landscape of microbial consortia	20
Systematic analysis identifies a connection between spatial and genomic variations of chromatin states	20
Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning	20
Resource competition shapes CRISPR-mediated gene activation	20
Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer-specific regulatory programs	20
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution	20
Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells	20
Modeling chimeric antigen receptor response at the single-cell level with conditional optimal transport	19
Systematic thermal analysis of the Arabidopsis proteome: Thermal tolerance, organization, and evolution	19
Studying stochastic systems biology of the cell with single-cell genomics data	19
Unveiling the hidden network of STING’s subcellular regulation	19
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference	19
Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid maturation and does not impede growth	18
Widespread alteration of protein autoinhibition in human cancers	18
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces	18
Contrastive learning of T cell receptor representations	18
Deep visual proteomics reveals an in vivo-like phenotype of orthotopically transplanted human colon organoids	18
Single-cell colocalization analysis using a deep generative model	18
Disobind: A sequence-based, partner-dependent contact map and interface residue predictor for intrinsically disordered regions	17
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states	17
Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity	17
Morphology and gene expression profiling provide complementary information for mapping cell state	17
Systematic genome-wide mapping of host determinants of bacteriophage infectivity	17
Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection	17
Dango: Predicting higher-order genetic interactions	17
The metabolome of an E. coli CRISPRi library identifies benefits of minimal metabolite levels and targets for engineering	17
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities	17
How well do contextual protein encodings learn structure, function, and evolutionary context?	16
Entrainment and multi-stability of the p53 oscillator in human cells	16
Automated single-cell omics end-to-end framework with data-driven batch inference	16
TissueMosaic: Self-supervised learning of tissue representations enables differential spatial transcriptomics across samples	16
Uncovering the principles coordinating systems-level organelle biogenesis with cellular growth	16
Biphasic JNK-Erk signaling separates the induction and maintenance of cell senescence after DNA damage induced by topoisomerase II inhibition	15
Deep-learning-based design of synthetic orthologs of SH3 signaling domains	15
Emerging questions in transcriptional regulation	15
Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity	15
Enhanced cellular longevity arising from environmental fluctuations	15
A molecular clock controls periodically driven cell migration in confined spaces	15
Assessing generative model coverage of protein structures with SHAPES	15
Active learning of enhancers and silencers in the developing neural retina	15
What can recent methodological advances help us understand about protein and genome evolution?	15
Somatic XIST activation and features of X chromosome inactivation in male human cancers	15
FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions	15
Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models	15
The impact of package selection and versioning on single-cell RNA-seq analysis	15