Author

Tracey McLaughlin

Stanford MedicineORCID 0000-0002-4829-8649Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alina Choi· 1 shared Brian S. FinliniD· 1 shared Brooke M. Leeman· 1 shared Catherine A. BlishiD· 1 shared Clifford james RoseniD· 1 shared Colleen M. CraigiD· 1 shared Denis N. SalinsiD· 1 shared Ekrem M. AyhaniD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

Alina Choi

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2 papers

Recent·Most cited

COVID-19 induces persistent transcriptional changes in adipose tissue that are not associated with Long COVID

Soneida DeLine-Caballero, Kalani Ratnasiri, Richard Chen, Seynt Jiro Sahagun, Uma M. Mangalanathan, Trisha R. Barnard, Nicole Turk, Jasmine Yang, Natesh Saini, Ekrem M. Ayhan, Hasiyet Memetimin, Brian S. Finlin, Zachary S. Leicht, Philip A. Kern, Ivette F. Emery, , Catherine A. Blish

The paper examines transcriptional changes in adipose tissue from subacute COVID-19 and Long COVID patients, finding no persistent viral RNA but significant transcriptional remodeling in subacute cases and no consistent gene expression differences in Long COVID.

bioRxiv · May 23, 2025 · PreprintImmunology

High Frequency Actionable Pathogenic Exome Mutations in an Average-Risk Cohort

Shannon M. Rego, Orit Dagan‐Rosenfeld, Wenyu Zhou, M. Reza Sailani, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, Jessica Wheeler, Colleen M. Craig, Denis N. Salins, Hannes Luc Röst, Jessilyn Dunn, Tracey McLaughlin, Lars Michael Steinmetz, Jonathan Adam Bernstein, Michael P. Snyder

The paper assesses exome sequencing in a healthy cohort to determine the frequency of medically actionable and non-actionable findings, finding 17% had actionable variants, including some outside standard guidelines.

bioRxiv · Jun 18, 2017 · PreprintGenomics