Results

PaperS7697

Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

Felix Czernilofsky, Anna Mathioudaki, Lea Jopp-Saile, Raphael Lutz, Dominik Vonficht, Xi Wang, Christina Schniederjohann, Harald Voehringer, Tobias Roider, Marc-Andrea Baertsch, Claus Rodemer, Henry Löffler-Wirth, Michael Grau, Donnacha Fitzgerald, Johannes Mammen, Jan Kosla, Nora Liebers, Peter-Martin Bruch, Diana Ordoñez-Rueda, Alexander Brobeil, Gunhild Mechtersheimer, Caroline Pabst, Carsten Müller-Tidow, Andreas Trumpp, Marc Seifert, Frank Neumann, Mathias Heikenwälder, Vladimir Benes, Wolfgang Huber, Jörg Distler, Georg Lenz, Hans Binder, Reiner Siebert, Garry P. Nolan, Moritz Gerstung, Judith B. Zaugg, Daniel Hübschmann, Simon Haas, Sascha Dietrich. pmc.ncbi.nlm.nih.gov. March 25, 2026.

This lymphoma study combines new tissue profiling, reused datasets, limited cell cultures and retrospective survival associations to propose a model of altered tissue organization. Its assays overlap an earlier Nolan-linked atlas, and cells or repeated measurements are not independent patients. Data-derived survival thresholds and unresolved denominator/method wording qualify clinical interpretation. Nolan provided access to existing imaging and immune datasets; this article does not assign him a funding award or report a classified UAP approach.

Complete specialist supplied XML text; native apparatus unreviewed
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
PaperS7758

Comment on "Discovery and Preliminary Characterization of a Third Interstellar Object: 3I/ATLAS" [arXiv:2507.02757]

Abraham Loeb. arxiv.org. July 9, 2025.

Loeb models a population mass budget for 3I/ATLAS and offers ordinary cometary-core or rarer-population alternatives. Technological design is conditional speculation; albedo, size, selection and reservoir assumptions remain explicit, with no artificial-origin detection or independent model validation.

Complete supplied three-page v2 manuscript; model and date gaps retained
PaperS7695

Quantitative characterization of tissue states using multiomics and ecological spatial analysis

Daisy Yi Ding, Zeyu Tang, Bokai Zhu, Hongyu Ren, Alex K. Shalek, Robert Tibshirani, Garry P. Nolan. pmc.ncbi.nlm.nih.gov. April 1, 2025.

This computational study reanalyses existing tissue datasets to describe spatial cell diversity and infer molecular relationships. Its liver comparison has one tissue per condition, subdivided into ten regions; these are not ten patients. Colorectal-cancer survival models use internal validation. Nolan is explicitly acknowledged for NIH support and two FDA Medical Countermeasures Initiative contracts. Those public acknowledgements establish reported research support, without verifying contract scope or a classified UAP approach.

Complete specialist supplied XML text; native apparatus unreviewed
PaperS7706

High-throughput multiplexed serology via the mass-spectrometric analysis of isotopically barcoded beads

Alexandros P Drainas, David R McIlwain, Alec Dallas, Theresa Chu, Antonio Delgado-González, Maya Baron, Maria Angulo-Ibáñez, Angelica Trejo, Yunhao Bai, John W Hickey, Guolan Lu, Scott Lu, Jesus Pineda-Ramirez, Khamal Anglin, Eugene T Richardson, John C Prostko, Edwin Frias, Venice Servellita, Noah Brazer, Charles Y Chiu, Michael J Peluso, Jeffrey N Martin, Oliver F Wirz, Tho D Pham, Scott D Boyd, J Daniel Kelly, Julien Sage, Garry P Nolan, Xavier Rovira-Clavé. pmc.ncbi.nlm.nih.gov. February 12, 2025.

This serology technology article was reviewed only for descriptive background, author roles, funding, disclosures and bibliography. Aggregate assay counts do not establish independent participant counts or clinical performance; their target-count arithmetic remains unresolved within this scope. Nolan shares an acknowledged NIH award with Julien Sage and is a corresponding author/joint supervisor. Patent and company interests are declared. Results, Discussion, Methods and figure captions remain excluded; no UAP or private-approach inference follows.

Partial descriptive XML; Results, Discussion and Methods excluded
PaperS7701

A multi-omics spatial framework for host-microbiome dissection within the intestinal tissue microenvironment

Bokai Zhu, Yunhao Bai, Yao Yu Yeo, Xiaowei Lu, Xavier Rovira-Clavé, Han Chen, Jason Yeung, Dingani Nkosi, Jonathan Glickman, Antonio Delgado-Gonzalez, Georg K. Gerber, Mike Angelo, Alex K. Shalek, Garry P. Nolan, Sizun Jiang. pmc.ncbi.nlm.nih.gov. January 31, 2025.

This mouse-intestine study combines spatial imaging, gene-expression and glycan measurements to examine inflammation-associated patterns. Its many cells and regions come from eight main-cohort mice, and correlations do not establish microbial causation or clinical performance. Nolan is a corresponding author and joint supervisor. The reviewed scope is partial, with biological-validation sections and Methods excluded; public support and commercial disclosures do not establish a UAP programme or private approach.

Partial specialist XML; validation and Methods excluded
PaperS7505

Detection of Moving Objects in Earth Observation Satellite Images: Verification

Eric Keto, Wesley Andrés Watters. arxiv.org. June 19, 2024.

Keto and Watters test satellite timing on two balloon examples and a snowy scene where ground alignment fails. Apparent fast motion is parallax. Timing is inferred under fixed-rate and negligible-motion assumptions, with incomplete independent ground truth and uncertainty.

Native draft text, figures and tables read
PaperS7502

Detection of Moving Objects in Earth Observation Satellite Images

Eric Keto, Wesley Andrés Watters. arxiv.org. May 18, 2024.

Keto and Watters use satellite imaging timing to examine apparent motion in one processed scene. Viewing geometry, altitude and mosaicing affect speed estimates. Proposed classifiers are not validated deployments, and a tenfold arithmetic discrepancy remains unresolved in the HTML rendition.

HTML paper text and selected figures read
PaperS7686

Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer

Magdalena Matusiak, John W. Hickey, David G.P. van IJzendoorn, Guolan Lu, Lukasz Kidziński, Shirley Zhu, Deana R.C. Colburg, Bogdan Luca, Darci J. Phillips, Sky W. Brubaker, Gregory W. Charville, Jeanne Shen, Kyle M. Loh, Derick K. Okwan-Duodu, Garry P. Nolan, Aaron M. Newman, Robert B. West, Matt van de Rijn. ebi.ac.uk. March 27, 2024.

This observational human-tissue study associates distinct macrophage populations with different colon-cancer outcomes: IL4I1 with favorable survival in two reported cohorts and SPP1 with unfavorable survival in one. Nested cells and tissue regions are not independent patients; no adjusted or prospectively validated clinical predictor is established. A reused breast-cancer treatment-response measure is T-cell receptor expansion, a surrogate. Nolan is a Resources coauthor. Public cancer-research grants name other recipients and establish no classified approach or UAP programme. Figures and supplements remain unreviewed.

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PaperS7694

Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities

Tobias Roider, Marc A Baertsch, Donnacha Fitzgerald, Harald Vöhringer, Berit J Brinkmann, Felix Czernilofsky, Mareike Knoll, Laura Llaó-Cid, Anna Mathioudaki, Bianca Faßbender, Maxime Herbon, Tobias Lautwein, Peter-Martin Bruch, Nora Liebers, Christian M Schürch, Verena Passerini, Marc Seifert, Alexander Brobeil, Gunhild Mechtersheimer, Carsten Müller-Tidow, Oliver Weigert, Martina Seiffert, Garry P Nolan, Wolfgang Huber, Sascha Dietrich. pmc.ncbi.nlm.nih.gov. February 20, 2024.

This lymphoma study maps T-cell composition across 101 lymph-node samples and imaging specimens from 19 patients. Cells, cores and repeated assays remain dependent. External cohorts associate signatures with survival, but thresholds are data-derived and endpoint wording conflicts remain. Spatial proximity and inferred trajectories do not establish mechanism or clinical accuracy. Nolan contributes resources, supervision and funding acquisition; commercial roles and research support do not establish a classified UAP approach.

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