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Eric J Jaehnig

Explore the profile of Eric J Jaehnig including associated specialties, affiliations and a list of published articles. Areas
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Recent Articles
11.
Anurag M, Jaehnig E, Krug K, Lei J, Bergstrom E, Kim B, et al.
Cancer Discov . 2022 Aug; 12(11):2586-2605. PMID: 36001024
Significance: Proteogenomic analysis of triple-negative breast tumors revealed a complex landscape of chemotherapy response associations, including a 19q13.31-33 somatic deletion encoding genes serving lagging-strand DNA synthesis (LIG1, POLD1, and XRCC1),...
12.
Satpathy S, Krug K, Jean Beltran P, Savage S, Petralia F, Kumar-Sinha C, et al.
Cell . 2021 Aug; 184(16):4348-4371.e40. PMID: 34358469
Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a deeper exposition of LSCC biology...
13.
Huang C, Chen L, Savage S, Eguez R, Dou Y, Li Y, et al.
Cancer Cell . 2021 Jan; 39(3):361-379.e16. PMID: 33417831
We present a proteogenomic study of 108 human papilloma virus (HPV)-negative head and neck squamous cell carcinomas (HNSCCs). Proteomic analysis systematically catalogs HNSCC-associated proteins and phosphosites, prioritizes copy number drivers,...
14.
Krug K, Jaehnig E, Satpathy S, Blumenberg L, Karpova A, Anurag M, et al.
Cell . 2020 Nov; 183(5):1436-1456.e31. PMID: 33212010
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued to...
15.
Satpathy S, Jaehnig E, Krug K, Kim B, Saltzman A, Chan D, et al.
Nat Commun . 2020 Jan; 11(1):532. PMID: 31988290
Cancer proteogenomics promises new insights into cancer biology and treatment efficacy by integrating genomics, transcriptomics and protein profiling including modifications by mass spectrometry (MS). A critical limitation is sample input...
16.
Liao Y, Wang J, Jaehnig E, Shi Z, Zhang B
Nucleic Acids Res . 2019 May; 47(W1):W199-W205. PMID: 31114916
WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155...
17.
Mo Q, Salley J, Roshan T, Baer L, May F, Jaehnig E, et al.
JCI Insight . 2017 Jun; 2(11). PMID: 28570265
A fundamental challenge to our understanding of brown adipose tissue (BAT) is the lack of an animal model that faithfully represents human BAT. Such a model is essential for direct...
18.
Barnes R, Harris I, Jaehnig E, Sauls K, Sinha T, Rojas A, et al.
Development . 2016 Jan; 143(5):774-9. PMID: 26811383
Congenital heart defects are the most common birth defects in humans, and those that affect the proper alignment of the outflow tracts and septation of the ventricles are a highly...
19.
Shen J, Srivas R, Gross A, Li J, Jaehnig E, Sun S, et al.
Oncotarget . 2015 Oct; 6(34):35755-69. PMID: 26437225
Chemical inhibitors of the checkpoint kinases have shown promise in the treatment of cancer, yet their clinical utility may be limited by a lack of molecular biomarkers to identify specific...
20.
Nosavanh L, Yu D, Jaehnig E, Tong Q, Shen L, Chen M
Proc Natl Acad Sci U S A . 2015 Apr; 112(16):5069-74. PMID: 25848030
Although recent studies have shown that brown adipose tissue (BAT) arises from progenitor cells that also give rise to skeletal muscle, the developmental signals that control the formation of BAT...