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).

• Single-cell dissection of chronic lung allograft dysfunction reveals convergent and distinct fibrotic mechanisms.

  PMID 41122970 · PMC12581678 · JCI insight · 2025 · 8 claims · 8 setups

  Has reproduction · 75

  CLAD exhibits specific cellular subsets including Fibro.AT2 cells, exhausted CD8+ T cells, and superactivated macrophages

  clad covid-19 million formalin-fixed single-cell single-nucleus integrated

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• Single-cell transcriptomics reveals heterogeneous neutrophil populations and diagnostic biomarkers in atherosclerosis.

  PMID 41847341 · PMC12989409 · Frontiers in physiology · 2026 · 8 claims · 8 setups

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  Integration of scRNA-seq data from six human carotid samples identified 16 distinct cell subtypes after batch effect correction with Harmony

  carotid neutrophil bulk c57bl scrna-seq hdwgcna lasso

• Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.

  PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility

  scrna-seq unpaired single-cell scgpt batch multi-omic cell-type

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type

• Robust and efficient annotation of cell states through gene signature scoring.

  PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups

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  Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.

  pbmc colorectal esophageal crc scrna-seq cross-implementation signature

• Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.

  PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 64

  Celline is a Python package that automates the full scRNA-seq workflow (retrieval, metadata extraction, preprocessing, cell-type annotation, batch correction, trajectory inference) via single-line commands.

  c57bl embryonic scrna-seq quality cell-type

• Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.

  PMID 41723123 · PMC13035843 · Nature communications · 2026 · 8 claims · 6 setups

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  CAMEX outperforms state-of-the-art integration methods on cross-species scRNA-seq benchmarking datasets ranging from one to eleven species

  liver ovary pancreas testis scrna-seq type

• Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.

  PMID 34675242 · PMC8531356 · Scientific reports · 2021 · 8 claims · 8 setups

  Has reproduction · 69

  Only 8 of 20 previously published COVID-19 scRNA-seq findings were reproducible across all relevant datasets in a standardized meta-analysis

  pbmc bronchoalveolar nasopharyngeal combined scrna-seq tcr bcr

• TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution.

  PMID 41296555 · PMC12807651 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  TE-SCALE is a comprehensive single-cell database integrating TE expression across 20 human cancer types and 12 tissue origins

  tumor quality-controlled scrna-seq metacells scrna-seq subfamily automated

• LIMPACAT: Multi-omics attention transformer for immune prediction in liver cancer using whole-slide imaging.

  PMID 41511965 · PMC12788640 · PloS one · 2026 · 8 claims · 6 setups

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  LIMPACAT, a multiple instance learning attention transformer, predicts immune cell levels relevant to HCC prognosis directly from whole-slide images

  hcc simulated pbmc tcga-lihc scrna-seq type deconvolution

• VIST: variational inference for single cell time series.

  PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups

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  VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components

  toy drosophila aorta lung synthetic time-course latent

• Single-Cell RNA-Seq Profiling of Transposable Element Expression in Human Peripheral Blood Cells During Viral Infections.

  PMID 41683713 · PMC12898442 · International journal of molecular sciences · 2026 · 8 claims · 8 setups

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  TE expression is significantly higher in PBMCs from viral infection cohorts (and recovered individuals) compared to healthy controls

  pbmcs pbmc cd8+ single-cell cell-type expression

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial