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Article
| Open AccessDiscovering allatostatin type-C receptor specific agonists
Pesticides safeguard crops against pest infestations and mitigate associated risks. In this work, the authors develop a pesticide targeting AlstR-C of T.pityocampa pests, showing promising results without harming other insects, and advancing the development of GPCR-targeted pesticides for insect control.
- Kübra Kahveci
- , Mustafa Barbaros Düzgün
- & Necla Birgul Iyison
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Article
| Open AccessComprehensive assessment of mRNA isoform detection methods for long-read sequencing data
Recently, various computational tools have emerged for detecting mRNA isoforms using long-read sequencing data. Here, the authors systemically evaluate and compare the performance of these tools.
- Yaqi Su
- , Zhejian Yu
- & Wanlu Liu
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Article
| Open AccessFragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF
Immunopeptidomics is crucial for the discovery of potential immunotherapy and vaccine candidates. Here, the authors generate a ground truth timsTOF dataset to fine-tune the deep learning model Prosit, improving peptide-spectrum match rescoring by up to 3-fold during immunopeptide identification.
- Charlotte Adams
- , Wassim Gabriel
- & Kurt Boonen
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Article
| Open AccessMultiplexed bulk and single-cell RNA-seq hybrid enables cost-efficient disease modeling with chimeric organoids
IPSC-derived organoids model diseases. Multiplexed coculture and demultiplexing natural genetic barcodes aid in studying genetic effects. Here, authors introduce Vireo-bulk to deconvolve bulk RNA-seq data, quantify donor abundance and identify differentially expressed genes.
- Chen Cheng
- , Gang Wang
- & Jin Zhang
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Article
| Open AccessOptimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference
In proteomics, identifying differentially expressed proteins (DEPs) is critical for uncovering biomarkers and drug targets. However, constructing optimal workflows to achieve maximal identification of DEPs is challenging. Here, the authors performed 34,576 combinatorial experiments on 24 gold standard spike-in datasets to discern optimal workflows.
- Hui Peng
- , He Wang
- & Wilson Wen Bin Goh
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Article
| Open AccessPrediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications
The epitranscriptome holds many unexplored RNA functions, but detecting multiple modifications from one sample remains challenging. Here, authors devise a strategy combining AI and nanopore sequencing to uncover a transcriptome-wide co-occurrence of two modification types in individual RNA molecules.
- P Acera Mateos
- , A J Sethi
- & E Eyras
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Article
| Open AccessEngineering and evaluation of FXa bypassing agents that restore hemostasis following Apixaban associated bleeding
Direct oral anticoagulants (DOACs) targeting factor Xa that are used to prevent or treat thromboembolic disorders carry the risk of uncontrolled bleeding. Here, the authors present the computational design and evaluation of factor Xa-variants which can be used to reduce DOAC-associated bleeding.
- Wojciech Jankowski
- , Stepan S. Surov
- & Zuben E. Sauna
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Article
| Open AccessNetwork-based elucidation of colon cancer drug resistance mechanisms by phosphoproteomic time-series analysis
Aberrant signalling pathway activity is relevant for tumour growth and resistance to therapy, but remains hard to understand and target. Here, the authors develop VESPA, a phosphoproteomics-based machine learning algorithm that can elucidate response and adaptation to drug perturbations in cancer signalling pathways.
- George Rosenberger
- , Wenxue Li
- & Andrea Califano
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Article
| Open AccessPredicting vaccine effectiveness for mpox
Here, based on a systematic review and meta-analysis, the authors analyze the relationship between vaccine immunogenicity and vaccine protection against mpox and predict the durability of protection after vaccination. This helps inform the optimal vaccine deployment in a health emergency.
- Matthew T. Berry
- , Shanchita R. Khan
- & David S. Khoury
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Article
| Open AccessPlasma proteome profiling reveals dynamic of cholesterol marker after dual blocker therapy
Dual blockade therapy is currently being trialled for multiple tumour types, but efficacy is variable. Here, the authors use longitudinal proteomics profiling of 22 patients to develop a predictive model of therapy response.
- Jiacheng Lyu
- , Lin Bai
- & Chen Ding
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Article
| Open AccesstauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data
There is a need to determine circadian time in gene expression datasets. Here, authors built tauFisher, a pipeline that predicts circadian time labels from single transcriptomic samples. tauFisher will be useful for determining body clock time in circadian medicine and for research.
- Junyan Duan
- , Michelle N. Ngo
- & Bogi Andersen
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Article
| Open AccessSeasonal antigenic prediction of influenza A H3N2 using machine learning
This study presents a machine learning model that accurately predicts seasonal antigenic changes of influenza A H3N2 using genetic data. The model’s predictions can aid influenza surveillance, vaccine strain selection, and public health management.
- Syed Awais W. Shah
- , Daniel P. Palomar
- & Matthew R. McKay
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Article
| Open AccessBERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks
Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful method for profiling biological samples. Here, the authors have developed a suit of Batch Effect Removal Neural Networks (BERNN) to remove batch effects in large LC-MS experiments to maximize sample classification between conditions.
- Simon J. Pelletier
- , Mickaël Leclercq
- & Arnaud Droit
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Article
| Open AccessDe novo generation of multi-target compounds using deep generative chemistry
Polypharmacology drugs are compounds designed to inhibit multiple protein targets. Here, authors use recent advances in AI to rapidly generate polypharmacology compounds against any pair of protein targets, experimentally validating numerous compounds targeting MEK1 and mTOR.
- Brenton P. Munson
- , Michael Chen
- & Trey Ideker
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Article
| Open AccessDiscovery of immunotherapy targets for pediatric solid and brain tumors by exon-level expression
CAR T cell immunotherapy for paediatric solid and brain tumours is constrained by the availability of targetable antigens. Here, the authors investigate the landscape of cancer-specific exons as potential targets by analysing 1,532 RNAseq datasets from 16 types of paediatric solid and brain tumours.
- Timothy I. Shaw
- , Jessica Wagner
- & Stephen Gottschalk
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Article
| Open AccessAnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics
Annotation of cell types and quantification of their relative localization in tissues remain challenging. Here, the authors present AnnoSpat (Annotator and Spatial Pattern Finder), a computational tool that can automatically identify cell types and quantify cell-cell proximity relationships.
- Aanchal Mongia
- , Fatema Tuz Zohora
- & Robert B. Faryabi
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Article
| Open AccessLarge-language models facilitate discovery of the molecular signatures regulating sleep and activity
The knowledge in the large language model (LLM), generative pre-trained transformer (GPT) 3.5, is elicited to facilitate the discovery of MRE11 in regulating sleep in the presence of conspecifics by a multi-object video tracking system.
- Di Peng
- , Liubin Zheng
- & Luoying Zhang
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Article
| Open AccessModelling the transmission dynamics of H9N2 avian influenza viruses in a live bird market
H9N2 avian influenza is a virus with zoonotic potential that is common in poultry in live bird markets in Asia. In this study, the authors use mathematical modelling to characterise transmission of H9N2 in live bird markets in Bangladesh and assess the effectiveness of potential interventions to reduce its circulation.
- Francesco Pinotti
- , Lisa Kohnle
- & Guillaume Fournié
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Article
| Open AccessThe impact of exercise on gene regulation in association with complex trait genetics
It is known that exercise influences many human traits, but not which tissues and genes are most important. This study connects transcriptome data collected across 15 tissues during exercise training in rats as part of the Molecular Transducers of Physical Activity Consortium with human data to identify traits with similar tissue specific gene expression signatures to exercise.
- Nikolai G. Vetr
- , Nicole R. Gay
- & Stephen B. Montgomery
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Article
| Open AccessMetaboAnalystR 4.0: a unified LC-MS workflow for global metabolomics
Several bottlenecks exist in metabolomics data analysis. Here, the authors present MetaboAnalystR 4.0 as a unified workflow for LC-MS untargeted metabolomics. It highlights significant improvements in LC-MS2 spectral processing and functional analysis, providing an end-to-end computational pipeline.
- Zhiqiang Pang
- , Lei Xu
- & Jianguo Xia
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Article
| Open AccessStress-shape misalignment in confluent cell layers
When studying nematic ordering of cells in a monolayer, it is commonly assumed that the principal stress and cell shape axes are tightly coupled. Here, the authors measure cell shape and cell-generated contractile stresses and show that cells in monolayers form correlated, dynamic domains in which the stresses are systematically misaligned with the cell bodies.
- Mehrana R. Nejad
- , Liam J. Ruske
- & Julia M. Yeomans
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Article
| Open AccessscLENS: data-driven signal detection for unbiased scRNA-seq data analysis
Single-cell RNA sequencing data analysis is limited by noise and high dimensionality. Here, authors present scLENS, a tool that automates accurate signal detection without manual input, particularly in complex datasets.
- Hyun Kim
- , Won Chang
- & Jae Kyoung Kim
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Article
| Open AccessEfficient gene knockout and genetic interaction screening using the in4mer CRISPR/Cas12a multiplex knockout platform
Paralog synthetic lethals have been assessed with multiple CRISPR-based methods, but systematic comparison among these platforms is unavailable. Here, the authors systematically compare combinatorial perturbation platforms and establish the in4mer CRISPR/Cas12a multiplex knockout platform.
- Nazanin Esmaeili Anvar
- , Chenchu Lin
- & Traver Hart
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Article
| Open AccessHuman connectome topology directs cortical traveling waves and shapes frequency gradients
The factors that determine the direction of traveling waves in the brain are not well understood. Here, the authors show that the sum of incoming structural connection strengths shape both traveling wave direction and frequency gradients.
- Dominik P. Koller
- , Michael Schirner
- & Petra Ritter
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Article
| Open AccessTargeted small molecule inhibitors blocking the cytolytic effects of pneumolysin and homologous toxins
The pore-forming toxin pneumolysin is responsible for the high mortality seen in pneumococcal infections unresponsive to antibiotics. In this work, authors report a small molecule inhibitor targeting pneumolysin and related ones as an anti-virulence strategy protecting human cells during infection.
- Umer Bin Abdul Aziz
- , Ali Saoud
- & Jörg Rademann
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Article
| Open AccessThe airborne transmission of viruses causes tight transmission bottlenecks
Genomic analyses have indicated that a small number of virus particles usually found new infections. Here, the authors use a mathematical model to show that this small transmission bottleneck is a result of the physical processes of airborne virus emission, diffusion, and inhalation.
- Patrick Sinclair
- , Lei Zhao
- & Christopher J. R. Illingworth
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Article
| Open AccessTravel surveillance uncovers dengue virus dynamics and introductions in the Caribbean
Dengue is a major public health concern in the Americas, and the Caribbean can be a source for reintroduction and spread. Here, the authors use travel surveillance data and genomic epidemiology to reconstruct Dengue epidemic dynamics in the Caribbean from 2009-2022.
- Emma Taylor-Salmon
- , Verity Hill
- & Nathan D. Grubaugh
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Article
| Open AccessDeep learning the cis-regulatory code for gene expression in selected model plants
This study explores the variation in gene regulation across plant species and genotypes using interpretable deep learning on DNA sequence and RNA-seq data, demonstrating the models’ utility in functional genomics and phenotypic trait prediction.
- Fritz Forbang Peleke
- , Simon Maria Zumkeller
- & Jędrzej Szymański
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Article
| Open AccessThe antimicrobial fibupeptide lugdunin forms water-filled channel structures in lipid membranes
The fibupeptide lugdunin has shown activity against antibiotic-resistant bacteria. Here, authors disclose its mechanism of action in lipid membranes and demonstrate that it assembles into nanotubes facilitating the translocation of monovalent cations.
- Dominik Ruppelt
- , Marius F. W. Trollmann
- & Claudia Steinem
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Article
| Open AccessCell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity
Identifying active compounds for a target is time- and resource-intensive. Here, the authors show that deep learning models trained on Cell Painting and single-point activity data, can reliably predict compound activity across diverse targets while maintaining high hit rates and scaffold diversity.
- Johan Fredin Haslum
- , Charles-Hugues Lardeau
- & Erik Müllers
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Article
| Open AccessOverlapping Streptococcus pyogenes and Streptococcus dysgalactiae subspecies equisimilis household transmission and mobile genetic element exchange
Streptococcus dysgalactiae subsp. equisimilis is closely related to Streptococcus pyogenes and colonises the same sites in humans. This study examines cross-species transmission interactions and genetic exchange in a high disease burden setting.
- Ouli Xie
- , Cameron Zachreson
- & Steven Y. C. Tong
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Article
| Open AccessPatrilineal segmentary systems provide a peaceful explanation for the post-Neolithic Y-chromosome bottleneck
Prior work has identified a male-only effective population size bottleneck 3-5000 years ago. While violent competition has been proposed as a cause, the authors here show that a segmentary patrilineal system with lineal fission provides a peaceful alternative explanation.
- Léa Guyon
- , Jérémy Guez
- & Raphaëlle Chaix
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Article
| Open AccessEmergence of enhancers at late DNA replicating regions
Here the authors report that enhancers appear more often in late-replicating DNA regions and are enriched for mutations affecting TF binding. This relationship with DNA replication time is seen in species evolution and cancer, suggesting a fundamental principle of genome evolution.
- Paola Cornejo-Páramo
- , Veronika Petrova
- & Emily S. Wong
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Article
| Open AccessProspective de novo drug design with deep interactome learning
The use of data-driven generative models for drug design is challenging due to the scarcity of data. Here, the authors introduce a “zero-shot" generative deep model to enable the generation of molecules by both structure- and ligand-based drug design and apply it to design PPARγ agonists with desired properties.
- Kenneth Atz
- , Leandro Cotos
- & Gisbert Schneider
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Article
| Open Accesshoxc12/c13 as key regulators for rebooting the developmental program in Xenopus limb regeneration
During organ regeneration, gene expression patterns similar to those in normal development are reestablished. Here, Kawasumi-Kita et al. explore core rebooting factors that operate during Xenopus limb regeneration. Their results indicate that hoxc12 and hoxc13 are critical for reactivating tissue growth.
- Aiko Kawasumi-Kita
- , Sang-Woo Lee
- & Yoshihiro Morishita
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Article
| Open AccessAn approach to identify gene-environment interactions and reveal new biological insight in complex traits
Here, the authors report 5 loci interacting with smoking/alcohol for serum lipids using a new method akin to Mendelian randomization. They unveil significant heritability through gene-environment interaction and mediation, enhancing understanding of complex trait genetics.
- Xiaofeng Zhu
- , Yihe Yang
- & Hugues Aschard
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Article
| Open AccessGENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems
Here, the authors report the development of heterogeneous domain decomposition with load balancing for large biological molecular dynamics simulations using residue-level coarse-grained models.
- Jaewoon Jung
- , Cheng Tan
- & Yuji Sugita
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Article
| Open AccessIntegrating taxonomic signals from MAGs and contigs improves read annotation and taxonomic profiling of metagenomes
Metagenomic taxonomic profiling usually relies either on reads or assembled contigs/MAGs. Here, authors present RAT, a tool that integrates taxonomic signals from reads, contigs, and MAGs into one profile with high precision and sensitivity. RAT provides a comprehensive view of the microbiome.
- Ernestina Hauptfeld
- , Nikolaos Pappas
- & F. A. Bastiaan von Meijenfeldt
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Article
| Open AccessDetecting m6A at single-molecular resolution via direct RNA sequencing and realistic training data
Direct RNA-seq offers the possibility to identify RNA modifications on single molecules. Here, the authors report on the synthesis of biologically realistic training data and the development of mAFiA that accurately detects m6A on single read level.
- Adrian Chan
- , Isabel S. Naarmann-de Vries
- & Christoph Dieterich
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Article
| Open AccessTracing genetic diversity captures the molecular basis of misfolding disease
Pei et al. applied Gaussian process-based machine learning to capture dynamic spatial covariance relationships managed by proteostasis to mediate cooperative folding on a residue basis as a standard model for precision disease management.
- Pei Zhao
- , Chao Wang
- & William E. Balch
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Article
| Open AccessThe genetic landscape of a metabolic interaction
Reynolds and colleagues examine a biochemically-mediated epistatic interaction between metabolic enzymes involved in folate metabolism and show that biochemical coupling shapes the range of enzyme activities sufficient to rescue cell growth.
- Thuy N. Nguyen
- , Christine Ingle
- & Kimberly A. Reynolds
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Article
| Open AccessData-driven recombination detection in viral genomes
Here, the authors present RecombinHunt, a computational method based on big data analysis, that enhances community-based detection of recombinant viral lineages.
- Tommaso Alfonsi
- , Anna Bernasconi
- & Stefano Ceri
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Article
| Open AccessPhylogenomic profiles of whole-genome duplications in Poaceae and landscape of differential duplicate retention and losses among major Poaceae lineages
Grasses share a whole-genome duplication called rho, but the adaptive implications are unclear. Here, the authors conduct phylogenomic and phylotranscriptomic analyses of 363 grasses, identifying additional whole-genome duplications and finding that duplicates are implicated in environmental adaptations or morphogenesis.
- Taikui Zhang
- , Weichen Huang
- & Hong Ma
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Article
| Open AccessTertiary structure and conformational dynamics of the anti-amyloidogenic chaperone DNAJB6b at atomistic resolution
Adupa et al show how the anti-amyloidogenic molecular chaperone DNAJB6 adopts three conformational states that determine the accessibility of its substrate binding domain. In all states, interactions with HSP70 are shielded, suggesting that functional interactions only may occur upon substrate binding.
- Vasista Adupa
- , Elizaveta Ustyantseva
- & Patrick R. Onck
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Article
| Open AccessMicroenvironmental reorganization in brain tumors following radiotherapy and recurrence revealed by hyperplexed immunofluorescence imaging
Improved imaging techniques are required to help advance our understanding of the complex role of the tumour microenvironment (TME). Here, the authors develop a high-throughput, highly multiplexed tissue visualisation workflow and demonstrate its utility by characterising the response of the TME to radiotherapy in preclinical models of glioblastoma.
- Spencer S. Watson
- , Benoit Duc
- & Johanna A. Joyce
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Article
| Open AccessOne substrate many enzymes virtual screening uncovers missing genes of carnitine biosynthesis in human and mouse
With structural models now available on a proteome scale, Malatesta et al. show that structure-based screening can help identify proteins catalyzing orphan reactions in metabolic pathways, offering functional insights beyond sequence-based approaches.
- Marco Malatesta
- , Emanuele Fornasier
- & Riccardo Percudani
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Article
| Open AccessDeep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells
Prediction of the specificity of a T cell receptor from amino acid sequence has been performed using different methods and approaches. Here the authors use TCRab sequences with known specificity to develop a deep learning TCR-epitope interaction predictor and use this method to predict specificity of dual alpha chain TCRs and TCRs specific for different antigens.
- Giancarlo Croce
- , Sara Bobisse
- & David Gfeller
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Article
| Open AccessIntegrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks
Papillary thyroid cancers (PTC) generally have good prognosis, but their recurrence rate remains high. Here, the authors use proteogenomics and metabolomics to identify molecular features in PTC tumours and determine PTC subtypes that are associated with prognosis and potential targeted therapies.
- Ning Qu
- , Di Chen
- & Rongliang Shi
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Article
| Open AccessSystematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer
The design of new combinatorial regimens represents an opportunity to improve response to immune checkpoint inhibitors in patients with cancer. Here the authors computationally model the interaction between chemotherapy and immunotherapy by studying treatment-induced expression changes associated with response to anti-PD-1, identifying chemotherapeutic drugs or small molecule inhibitors that can overcome resistance to anti-PD-1.
- Yue Wang
- , Dhamotharan Pattarayan
- & Da Yang
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