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ADP-ribosylation factor 1 (ARF1) takes part in cell proliferation and cell adhesion-mediated drug resistance (CAM-DR)

Overview of attention for article published in Annals of Hematology, February 2017
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Title
ADP-ribosylation factor 1 (ARF1) takes part in cell proliferation and cell adhesion-mediated drug resistance (CAM-DR)
Published in
Annals of Hematology, February 2017
DOI 10.1007/s00277-017-2949-2
Pubmed ID
Authors

Xiaohong Xu, Qiru Wang, Yunhua He, Linlin Ding, Fei Zhong, Yangyu Ou, Yaodong Shen, Hong Liu, Song He

Abstract

Cell adhesion-mediated drug resistance (CAM-DR) remains the primary obstacle in human multiple myeloma (MM) therapy. In this study, we aimed at investigating the expression and biologic function of ARF1 in MM. We determined that ARF1 expression was positively correlated with cell proliferation and knockdown of ARF1 contributed to CAM-DR. The enhancement in the adhesion of MM cells to fibronectin (FN) or the bone marrow stroma cell line HS-5 cells translated to an increased CAM-DR phenotype. Importantly, we showed that this CAM-DR phenotype was correlated with the phosphorylation of Akt and ERK in MM cells. Moreover, we sought to determine whether ARF1 could interact with p27 in RPMI8226 cells. Knockdown of ARF1 also significantly decreased pT157-p27 protein expression in RPMI8226 cells. Our research shows ARF1 may reverse CAM-DR by regulating phosphorylation of p27 at T157 in MM. Taken together, our data shed new light on the molecular mechanism of CAM-DR in MM, and targeting ARF1 may be a novel therapeutic approach for improving the effectiveness of chemotherapy in MM.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 2 18%
Student > Master 2 18%
Lecturer 1 9%
Other 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 45%
Medicine and Dentistry 4 36%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Agricultural and Biological Sciences 1 9%
Engineering 1 9%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2017.
All research outputs
#18,536,772
of 22,958,253 outputs
Outputs from Annals of Hematology
#1,473
of 2,197 outputs
Outputs of similar age
#238,573
of 311,787 outputs
Outputs of similar age from Annals of Hematology
#17
of 21 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,197 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.