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Your search keyword '"Streicher, Katie"' showing total 8 results
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8 results on '"Streicher, Katie"'

2. Baseline Plasma Cell Gene Signature Predicts Improvement in Systemic Sclerosis Skin Scores Following Treatment With Inebilizumab (MEDI‐551) and Correlates With Disease Activity in Systemic Lupus Erythematosus and Chronic Obstructive Pulmonary Disease

Author

Streicher, Katie, primary, Sridhar, Sriram, additional, Kuziora, Mike, additional, Morehouse, Christopher A., additional, Higgs, Brandon W., additional, Sebastian, Yinong, additional, Groves, Christopher J., additional, Pilataxi, Fernanda, additional, Brohawn, Philip Z., additional, Herbst, Ronald, additional, and Ranade, Koustubh, additional

Published
2018
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3. Inhibition of Myogenic MicroRNAs 1, 133, and 206 by Inflammatory Cytokines Links Inflammation and Muscle Degeneration in Adult Inflammatory Myopathies

Author

Georgantas, Robert W., primary, Streicher, Katie, additional, Greenberg, Steven A., additional, Greenlees, Lydia M., additional, Zhu, Wei, additional, Brohawn, Philip Z., additional, Higgs, Brandon W., additional, Czapiga, Meggan, additional, Morehouse, Christopher A., additional, Amato, Anthony, additional, Richman, Laura, additional, Jallal, Bahija, additional, Yao, Yihong, additional, and Ranade, Koustubh, additional

Published
2014
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5. MicroRNA-206 induces G1 arrest in melanoma by inhibition of CDK4 and Cyclin D

Author

Georgantas, Robert W., primary, Streicher, Katie, additional, Luo, Xiaobing, additional, Greenlees, Lydia, additional, Zhu, Wei, additional, Liu, Zheng, additional, Brohawn, Philip, additional, Morehouse, Christopher, additional, Higgs, Brandon W., additional, Richman, Laura, additional, Jallal, Bahija, additional, Yao, Yihong, additional, and Ranade, Koustubh, additional

Published
2014
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6. The Plasma Cell Signature in Autoimmune Disease

Author

Streicher, Katie, primary, Morehouse, Christopher A., additional, Groves, Christopher J., additional, Rajan, Bhargavi, additional, Pilataxi, Fernanda, additional, Lehmann, Kim P., additional, Brohawn, Philip Z., additional, Higgs, Brandon W., additional, McKeever, Kathleen, additional, Greenberg, Steven A., additional, Fiorentino, David, additional, Richman, Laura K., additional, Jallal, Bahija, additional, Herbst, Ronald, additional, Yao, Yihong, additional, and Ranade, Koustubh, additional

Published
2013
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8. The plasma cell signature in autoimmune disease.

Author

Streicher K, Morehouse CA, Groves CJ, Rajan B, Pilataxi F, Lehmann KP, Brohawn PZ, Higgs BW, McKeever K, Greenberg SA, Fiorentino D, Richman LK, Jallal B, Herbst R, Yao Y, and Ranade K

Subjects
Autoantibodies biosynthesis, Autoimmune Diseases genetics, B-Cell Maturation Antigen genetics, Humans, Immunoglobulin J-Chains genetics, Immunoglobulin kappa-Chains genetics, Immunoglobulins genetics, Tissue Array Analysis, Plasma Cells metabolism, Scleroderma, Systemic genetics, Transcriptome genetics
Abstract

Objective: Production of pathogenic autoantibodies by self-reactive plasma cells (PCs) is a hallmark of autoimmune diseases. We undertook this study to investigate the prevalence of PCs and their relationship to known pathogenic pathways to increase our understanding of the role of PCs in disease progression and treatment response., Methods: We developed a sensitive gene expression-based method to overcome the challenges of measuring PCs using flow cytometry. Whole-genome microarray analysis of sorted cellular fractions identified a panel of genes, IGHA1, IGJ, IGKC, IGKV4-1, and TNFRSF17, expressed predominantly in PCs. The sensitivity of the PC signature score created from the combined expression levels of these genes was assessed through ex vivo experiments with sorted cells. This PC gene expression signature was used for monitoring changes in PC levels following anti-CD19 therapy, for evaluating the relationship between PCs and other autoimmune disease-related genes, and for estimating PC levels in affected blood and tissue from patients with multiple autoimmune diseases., Results: The PC signature was highly sensitive and capable of detecting a change in as few as 360 PCs. The PC signature was reduced more than 90% in scleroderma patients following anti-CD19 treatment, and this reduction was highly correlated (r = 0.80) with inhibition of collagen gene expression. Evaluation of multiple autoimmune diseases revealed that 30-35% of lupus and rheumatoid arthritis patients had increased levels of PCs., Conclusion: This newly developed PC signature provides a robust and accurate method of measuring PC levels in the clinic. Our results highlight subsets of patients across multiple autoimmune diseases who may benefit from PC-depleting therapy., (Copyright © 2014 by the American College of Rheumatology.)

Published
2014
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