Author

N. Zaitlen

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· 1 Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

A. Dahl· 1 shared A. Gusev· 1 shared A. J. Costello· 1 shared A. U. Kishan· 1 shared A. Zelikovsky· 1 shared B. J. Pope· 1 shared B. Pasaniuc· 1 shared B. Statz· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperEvolutionary Biology

A. Dahl

Author profile →

3 papers

Recent·Most cited

Germline determinants of the prostate tumor genome

K. E. Houlahan, J. Yuan, T. Schwarz, J. Livingstone, N. S. Fox, W. Jaratlerdsiri, J. van Riet, K. Taraszka, N. Kurganovs, H. Zhu, J. Sietsma Penington, C.-H. Jung, T. N. Yamaguchi, J. Jiang, L. E. Heisler, , P. C. Boutros

The paper identifies germline-determined quantitative trait loci (dQTLs) that influence somatic mutational features in prostate cancer, revealing their impact on tumor epigenome, transcriptome, and proteome.

bioRxiv · Nov 16, 2022 · PreprintCancer Biology

Ultra-rare variants drive substantial cis-heritability of human gene expression

R. D. Hernandez, L. H. Uricchio, K. Hartman, J. Ye, A. Dahl, N. Zaitlen

This study estimates that ultra-rare variants contribute significantly to cis-heritability of gene expression, with singletons accounting for ~25% and most of that from variants absent in thousands of samples.

bioRxiv · Apr 27, 2019Evolutionary Biology

Profiling immunoglobulin repertoires across multiple human tissues by RNA Sequencing

S. Mangul, I. Mandric, H. T. Yang, N. Strauli, D. Montoya, J. Rotman, W. V. Der Wey, J. R. Ronas, B. Statz, A. Zelikovsky, R. Spreafico, S. Shifman, N. Zaitlen, M. Rossetti, K. M. Ansel, E. Eskin

The paper develops ImReP, a computational method to profile TCR and BCR repertoires from RNA-seq data, creating a large atlas of immunological sequences across 53 tissues.

bioRxiv · Nov 6, 2018 · PreprintImmunology