mTOR-iMCD-Blood_Article_Data_Repository

{"references": ["Fajgenbaum, David C., et al. \"Identifying and targeting pathogenic PI3K/AKT/mTOR signaling in IL-6 blockade\u2013refractory idiopathic multicentric Castleman disease.\" The Journal of clinical investigation 129.10 (2019): 4451-4463.", "Arenas, Daniel, et al. \"Increased mTOR activation in idiopathic multicentric Castleman disease.\" Clinical Lymphoma Myeloma and Leukemia 19.10 (2019): e306.", "Fajgenbaum, David C., et al. \"International, evidence-based consensus diagnostic criteria for HHV-8\u2013negative/idiopathic multicentric Castleman disease.\" Blood, The Journal of the American Society of Hematology 129.12 (2017): 1646-1657."]}

This permanent Zenodo entry corresponds to the original data used for the manuscript: "Increased mTOR activation in idiopathic multicentric Castleman disease" accepted for publication by Blood. Original data for Figure 5 (proteomics) of the manuscript is available upon reasonable request to the corresponding author of the article.

Related Organizations

University of Pennsylvania
United States

Keywords

Castleman disease, mTOR, Immunohistochemistry

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average