Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• In vivo dual RNA-Seq uncovers key effectors of epithelial barrier disruption by an extracellular pathogen.

  PMID 41634022 · PMC12966279 · Nature communications · 2026 · 8 claims · 8 setups

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  Dual RNA-Seq of L. interrogans-infected hamsters reveals the in vivo host-pathogen transcriptomic landscape during infection

  golden interrogans hamster epithelial dual rna-seq qpcr

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq

• Genome-wide identification of Hfq-regulated small RNAs in the fire blight pathogen Erwinia amylovora discovered small RNAs with virulence regulatory function.

  PMID 24885615 · PMC4070566 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 50

  A total of 40 candidate Hfq-dependent sRNAs were identified genome-wide in E. amylovora by combining RNA-seq with a Rho-independent terminator search.

  erwinia intergenic candidate wounded small northern race

• Early feature extraction drives model performance in high-resolution chromatin accessibility prediction.

  PMID 41526189 · PMC12951969 · Genome research · 2026 · 8 claims · 6 setups

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  Early feature extraction (via ConvNeXt V2 blocks), rather than downstream architecture type, is the primary determinant of prediction accuracy in high-resolution chromatin accessibility prediction.

  lines cancer sets gm12878 atac-seq peak input-shift

• Single-Cell Sequencing of iPSC-Dopamine Neurons Reconstructs Disease Progression and Identifies HDAC4 as a Regulator of Parkinson Cell Phenotypes.

  PMID 30503143 · PMC6327112 · Cell stem cell · 2019 · 8 claims · 8 setups

  Has reproduction · 30

  Single-cell transcriptomic analysis of GBA-N370S iPSC-derived dopamine neurons identifies a progressive axis of gene expression variation leading to endoplasmic reticulum stress.

  facs-purified ipsc-derived core bulk single-cell facs

• Multiomics and deep learning dissect regulatory syntax in human development.

  PMID 41951735 · PMC13216069 · Nature · 2026 · 8 claims · 8 setups

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  The Human Development Multiomic Atlas (HDMA) is a single-cell atlas of chromatin accessibility and gene expression from 817,740 fetal cells across 12 organs, spanning 203 cell types

  fetal annotated embryo chrombpnet share-seq chromvar activity-by-contact

• Detection of alternative splicing: deep sequencing or deep learning?

  PMID 41520225 · PMC12790623 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

  Full-text index only

  Sequence-based deep learning tools (AlphaGenome, SpliceAI, DeepSplice) show potential for initial hypothesis development and as additional filters in standard RNA-seq pipelines, especially when sequencing depth is limited.

  dilated dcm sequence subsampled bulk rna-seq deep

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 84

  DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data

  cancer breast hepatocarcinoma tcga multi-omics gene rna-seq

• EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.

  PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs

  dbps tfs common ctcf deep comparative feature-ablation

• Proteogenomic analysis prioritises functional single nucleotide variants in cancer samples.

  PMID 29221171 · PMC5707065 · Oncotarget · 2017 · 8 claims · 6 setups

  Has reproduction · 73

  A customised SAAV peptide database built from RNA-seq/WGS variant calls can be used to search proteomics data and detect single amino acid variant (SAAV)-containing peptides at the protein level

  jurkat rna-seq genome proteomics

• Prediction of Alzheimer's disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening.

  PMID 33397809 · PMC7826347 · Proceedings of the National Academy of Sciences of the United States of America · 2021 · 7 claims · 7 setups

  Has reproduction · 48

  An AD-specific frameshift insertion SNV in exon 27 of mouse PLCγ1 causes abnormal exon skipping (exons 26-30) during mRNA maturation in 5xFAD cortex

  cortex forebrain plcγ1 bulk rna-seq-based western

• Identification and functional implications of pseudouridine RNA modification on small noncoding RNAs in the mammalian pathogen Trypanosoma brucei.

  PMID 35714765 · PMC9283944 · The Journal of biological chemistry · 2022 · 8 claims · 4 setups

  Has reproduction · 80

  Genome-wide Ψ mapping using HydraPsiSeq and small RNA Ψ-seq identifies Ψ sites on snoRNA, 7SL RNA, vtRNA, SL RNA, and tRNA in T. brucei

  brucei hydrapsiseq small primer

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep

• Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.

  PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups

  Has reproduction · 68

  scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.

  raw real-world expressed gene deep

• Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.

  PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 8 setups

  Has reproduction · 79

  CLSM6A is a set of CNN-based deep learning models that predict single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens

  hct116 a549 brain hek293t miclip m6a-clip-seq m6a-seq

• How negative sampling shapes the performance of transcription factor binding site prediction models.

  PMID 41601205 · PMC12910371 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 5 setups

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  Negative sampling technique significantly impacts TFBS prediction model performance and interpretation of results

  encode same genome chip-seq atac-seq deep

• Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

  PMID 41758825 · PMC12948085 · PloS one · 2026 · 8 claims · 6 setups

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  AI-based predictive models built on unannotated scRNA-seq data (cell-by-gene expression matrices) can classify melanoma patients as ICI responders vs. non-responders

  cd45+ scrna-seq independent scrna-seq single-gene-level pathway-level

• Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.

  PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 6 setups

  Has reproduction · 67

  PSPred-ALE outperforms state-of-the-art SARS-CoV-2 phosphorylation site predictors (e.g. DeepIPs) and handcrafted feature-based methods in benchmarking comparisons

  a549 sequence same bulk pathway gene

• Immunoregulatory Roles of Tumor-Originated Pericytes Identified by Single-Cell Analysis in Glioblastoma.

  PMID 41001759 · PMC12713092 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025 · 8 claims · 8 setups

  Has reproduction

  CD146 (MCAM) is a superior surface marker for sorting GBM pericytes, labeling nearly all PDGFRβ+ pericytes with strong specificity, unlike NG2 which labels fewer vessel-associated pericytes.

  facs-sorted frozen dissociated scrna-seq scrna-seq immunofluorescence fluorescence-activated

• Landscape of allele-specific transcription factor binding in the human genome.

  PMID 33980847 · PMC8115691 · Nature communications · 2021 · 8 claims · 6 setups

  Has reproduction · 82

  A novel statistical framework (ADASTRA) calls allele-specific TF binding from existing ChIP-Seq alignments by jointly correcting for background allelic dosage (BAD, from aneuploidy/CNVs) and reference mapping bias.

  gtrd k562 mcf7 types chip-seq variant bayesian