Author

S. Newman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 4 Bioengineering· 2 Physiology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:differential expression· 5 Approach:experimental assay· 5 Research Focus:gene regulatory network inference· 5 Approach:statistical model· 5 Research Focus:cell type annotation· 3 Research Focus:clustering· 3 Approach:deep learning· 3

Frequent Co-Authors

A. H. Taylor· 2 shared A. J. Carr· 2 shared B. Usukhbayar· 2 shared B. Watkins· 2 shared D. Beazley· 2 shared K. Wheway· 2 shared M. A. Salazar· 2 shared M. Metzner· 2 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

A. H. Taylor

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Author profile →

9 papers

Recent·Most cited

A multiplexed and quantitative assay for small-molecule detection via photo-crosslinking of structure switching aptamers

S. Newman, B. Wilson, L. Zheng, H. T. Soh

The paper introduces xPlex, a method for multiplexed and quantitative detection of small-molecule analytes using aptamer switches and UV-crosslinkable strands, demonstrating its effectiveness with dopamine and glucose.

bioRxiv · Apr 24, 2024 · PreprintBioengineering

Selective advantage of mutant stem cells in clonal hematopoiesis occurs by attenuating the deleterious effects of inflammation and aging

N. A. Jakobsen, S. Turkalj, A. G. X. Zeng, B. Stoilova, M. Metzner, M. S. Nagree, S. Shah, R. Moore, B. Usukhbayar, M. A. Salazar, G.-A. Gafencu, A. Kennedy, S. Newman, B. J. L. Kendrick, A. H. Taylor, , P. Vyas

This study identifies how DNMT3A and TET2 mutations in hematopoietic stem cells confer a selective advantage by reducing inflammation and aging effects.

bioRxiv · Sep 12, 2023 · PreprintCancer Biology

Identification of tumor-intrinsic drivers of immune exclusion in acral melanoma

R. C. Augustin, S. Newman, A. Li, M. Joy, M. Lyons, M. Pham, P. C. Lucas, K. Smith, C. Sander, B. Isett, D. Davar, Y. G. Najjar, H. M. Zarour, J. M. Kirkwood, J. J. Luke, R. Bao

This study identifies 11 oncogenic pathways associated with immune exclusion and ICI resistance in acral melanoma, suggesting therapeutic targets for immunotherapy combinations.

bioRxiv · Aug 24, 2023Cell Biology

Dietary restriction of isoleucine increases healthspan and lifespan of genetically heterogeneous mice

C. L. Green, M. E. Trautman, R. Babygirija, R. Jain, K. Chaiyakul, H. H. Pak, A. Bleicher, G. Novak, M. M. Sonsalla, C.-Y. Yeh, M. F. Calubag, T. T. Liu, V. Flores, S. Newman, W. A. Ricke, , D. Lamming

This study shows that reducing dietary isoleucine improves metabolic health, reduces frailty, and extends lifespan in genetically diverse mice.

bioRxiv · Oct 6, 2022Physiology

Detecting and quantifying clonal selection in somatic stem cells

V. Korber, N. Ansari-Pour, N. A. Jakobsen, R. Moore, N. Claudino, M. Metzner, F. Horsch, B. Usukhbayar, M. A. Salazar, S. Newman, B. J. Kendrick, A. H. Taylor, R. Afinowi-Luitz, R. Gundle, B. Watkins, , T. Hofer

This study introduces SCIFER, a method to detect and quantify clonal selection in somatic stem cells, revealing accelerated stem cell division in clonal hematopoiesis.

bioRxiv · Dec 15, 2021Cancer Biology

St. Jude Cloud a Pediatric Cancer Genomic Data Sharing Ecosystem

C. McLeod, A. M. Gout, X. Zhou, D. Rahbarinia, A. Thrasher, S. Newman, K. Birch, M. Macias, D. Finkelstein, J. Sunny, R. Mudunuri, B. A. Orr, M. Treadway, B. Davidson, T. Ard, , Z Wang

St. Jude Cloud provides a genomic data sharing ecosystem for pediatric cancer research, offering access to over 10,000 patient genomes and enabling analysis of cancer subtypes and mutational signatures.

bioRxiv · Aug 24, 2020Cancer Biology

Identifying Modules of Cooperating Cancer Drivers

M. I. Klein, V. L. Cannataro, S. Newman, J. P. Townsend, D. F. Stern, H. Zhao

The paper introduces CRSO to identify cooperating driver combinations in cancer, finding 11 core combinations per cancer type with clinical relevance.

bioRxiv · Jun 29, 2020Cancer Biology

Association of physiological variables with football subconcussive head impacts: Why measure?

M. E. Huibregtse, S. W. Zonner, K. Ejima, Z. W. Bevilacqua, S. Newman, J. T. Macy, K. Kawata

This study examines the association between physiological factors and subconcussive head impacts in high school football players, finding significant links between head impact kinematics and skeletal muscle damage.

bioRxiv · Dec 17, 2018 · PreprintPhysiology

Scaling up DNA data storage and randomaccess retrieval

L. Organick, S. D. Ang, Y.-J. Chen, R. Lopez, S. Yekhanin, K. Makarychev, M. Z. Racz, G. Kamath, P. Gopalan, B. Nguyen, C. Takahashi, S. Newman, H.-Y. Parker, C. Rashtchian, K. Stewart, , K. Strauss

This paper demonstrates large-scale DNA data storage with random access, storing 200MB of data in 13 million DNA oligonucleotides and achieving error-free retrieval.

bioRxiv · Mar 7, 2017Bioengineering