Results

PaperS7508

Estimating time since influenza virus exposure using single-cell proteomic data

Klodiana Rizzo Nervo, Neda Hajiakhoond Bidoki, Han Chen, Zainab Rahil, Zach Bjornson, Kenneth Kim, Bonnie Bock, Melton Affrime, Logan Bauerle, Pham Bao Tran Huynh, David Liebowitz, Sean Tucker, Pier Federico Gherardini, Garry P. Nolan, Nima Aghaeepour, David R. McIlwain. frontiersin.org. March 19, 2026.

Rizzo Nervo, Nolan and colleagues model influenza shedding and time since exposure in two controlled challenge datasets. Preinfection baselines and selected healthy cohorts constrain generalization. Several count, legend, validation-method and error-metric descriptions disagree; this is not a UAP-exposure study.

Article, figures and narrative supplements read
PaperS7678

Annotation-free discovery of disease-relevant cells in single-cell datasets

Erin Craig, Timothy J Keyes, Jolanda Sarno, Jeremy P D’Silva, Pablo Domizi, Maxim Zaslavsky, Albert Tsai, David Glass, Garry P Nolan, Trevor Hastie, Robert Tibshirani, Kara L Davis. ebi.ac.uk. August 27, 2025.

This Nolan-coauthored computational study estimates disease-associated cells using patient disease labels and a healthy baseline, without requiring expert cell annotations. Reported leukemia examples support a research method, with stronger expert-label benchmarks, small patient cohorts and assumptions that limit interpretation. Millions of measured cells do not imply millions of independent patients. Disclosed NIH support does not establish a classified programme or UAP access.

Complete supplied XML text; graphics, algorithms and supplements unreviewed
PaperS7679

Integration of spatial and single-cell data across modalities with weakly linked features

Shuxiao Chen, Bokai Zhu, Sijia Huang, John W Hickey, Kevin Z Lin, Michael Snyder, William J Greenleaf, Garry P Nolan, Nancy R Zhang, Zongming Ma. ebi.ac.uk. September 7, 2023.

This Nolan-coauthored study introduces MaxFuse, a computational method for aligning cell measurements across weakly linked data types. Benchmarks report gains on selected datasets; inferred spatial gene activity is distinguished from measurements actually made in each cell. Reused cell batches and tuned comparisons limit broader conclusions. The article explicitly attributes FDA Medical Countermeasures Initiative contracts and NIH support to Nolan, without reporting a secret approach or classified UAP programme.

Complete supplied XML text; original figures and supplements unreviewed
PaperS7692

Organization of the human intestine at single-cell resolution

John W. Hickey, Winston R. Becker, Stephanie A. Nevins, Aaron Horning, Almudena Espin Perez, Chenchen Zhu, Bokai Zhu, Bei Wei, Roxanne Chiu, Derek C. Chen, Daniel L. Cotter, Edward D. Esplin, Annika K. Weimer, Chiara Caraccio, Vishal Venkataraaman, Christian M. Schürch, Sarah Black, Maria Brbić, Kaidi Cao, Shuxiao Chen, Weiruo Zhang, Emma Monte, Nancy R. Zhang, Zongming Ma, Jure Leskovec, Zhengyan Zhang, Shin Lin, Teri Longacre, Sylvia K. Plevritis, Yiing Lin, Garry P. Nolan, William J. Greenleaf, Michael Snyder. pmc.ncbi.nlm.nih.gov. July 19, 2023.

This healthy-adult intestine atlas describes regional tissue composition and spatial organization in nine donors. Millions of cells and regional sections remain nested within donors. Predicted signalling and regulatory associations are hypotheses; subset validation overlaps one donor and does not establish a clinical or causal mechanism. Nolan is a corresponding coauthor and supervisor. Published funding and commercial disclosures provide ordinary research context, without establishing a classified approach or UAP programme.

Complete specialist supplied XML text; native apparatus unreviewed
PaperS7603

Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line

Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath. ebi.ac.uk. May 11, 2020.

The authors infer different routes to early drug tolerance within one cultured melanoma cell line and test selected drug combinations. The inferred barrier was not measured. Negative inhibitor assays, dependence among cell snapshots and possible normal-tissue toxicity qualify the results; clinical efficacy was not established.

Complete supplied main text; partial supplemental visuals
PaperS7608

Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis

Maeve O’Huallachain, Felice-Alessio Bava, Mary Shen, Carolina Dallett, Sri Paladugu, Nikolay Samusik, Simon Yu, Razika Hussein, Grantland R. Hillman, Samuel Higgins, Melanie Lou, Angelica Trejo, Laura Qin, Yu Chuan Tai, Shigemi M. Kinoshita, Astraea Jager, Deval Lashkari, Yury Goltsev, Sedide Ozturk, Garry P. Nolan. ebi.ac.uk. May 7, 2020.

The authors demonstrate split-pool barcoding for protein and targeted RNA measurements in cell lines, human blood-cell material and mouse cells. Large theoretical barcode capacity is distinct from measured event recovery. Uneven RNA detection, cell losses, exclusions, doublets and source discrepancies limit interpretation; no clinical or UAP validation follows.

Complete supplied main and correction text; partial supplemental visuals
PaperS7589

Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis

Jared M. Churko, Priyanka Garg, Barbara Treutlein, Meenakshi Venkatasubramanian, Haodi Wu, Jaecheol Lee, Quinton N. Wessells, Shih-Yu Chen, Wen-Yi Chen, Kashish Chetal, Gary Mantalas, Norma Neff, Eric Jabart, Arun Sharma, Garry P. Nolan, Nathan Salomonis, Joseph C. Wu. ebi.ac.uk. November 21, 2018.

The study analyzes heterogeneity in cultured cardiac differentiation and tests selected regulators. Selected cells and related perturbations provide conditional support, rather than independent donor or clinical replication. A reporting-summary conflict and several negative results remain unresolved.

Supplied main text read; large workbooks partial
PaperS7587

DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity

Benedict Anchang, Kara L. Davis, Harris G. Fienberg, Brian D. Williamson, Sean C. Bendall, Loukia G. Karacosta, Robert Tibshirani, Garry P. Nolan, Sylvia K. Plevritis. ebi.ac.uk. April 13, 2018.

DRUG-NEM ranks drug combinations using selected single-cell signaling responses. Its short-term surrogates and fixed-subpopulation assumptions limit interpretation. Repeated analyses are not new patients, and cell-line validation does not establish clinical benefit. The supplied main text is read; supporting information remains missing.

Supplied main text and mathematics read; apparatus partial
PaperS7500

Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models

Bahareh Ajami, Nikolay Samusik, Peter Wieghofer, Peggy P. Ho, Andrea Crotti, Zach Bjornson, Marco Prinz, Wendy J. Fantl, Garry P. Nolan, Lawrence Steinman. med.stanford.edu. March 5, 2018.

Ajami, Nolan and colleagues analyse brain myeloid populations in mouse disease models. Mouse treatment findings do not establish human therapy or UAP-related illness. Pooling, statistical assumptions and inconsistencies constrain interpretation.

Paper, methods, figures and checklist read
PaperS7593

Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry

Veronica D. Gonzalez, Nikolay Samusik, Tiffany J. Chen, Erica S. Savig, Nima Aghaeepour, David A. Quigley, Ying-Wen Huang, Valeria Giangarrà, Alexander D. Borowsky, Neil E. Hubbard, Shih-Yu Chen, Guojun Han, Alan Ashworth, Thomas J. Kipps, Jonathan S. Berek, Garry P. Nolan, Wendy J. Fantl. ebi.ac.uk. February 13, 2018.

Mass cytometry identifies tumor-cell subsets and outcome associations in a small ovarian-cancer cohort. Dominant and hybrid clusters did not individually correlate with relapse. Same-cohort marker selection and missing independent validation limit interpretation; cell-line response is not demonstrated patient benefit.

Supplied author manuscript read; figures and supplement missing

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