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Low serum miR-223 expression predicts poor outcome in patients with acute myeloid leukemia.

Guopan Yu | Zhao Yin | Han He | Zhongxin Zheng | Yanyan Chai | Li Xuan | Ren Lin | Qiang Wang | Jie Li | Dan Xu
Journal of clinical laboratory analysis | 2020

Identification of biomarkers for acute myeloid leukemia (AML) is important for treating this malignancy. Recent studies have reported that microRNAs (miRNAs) are stably detectable in the blood/plasma and can be used as biomarkers for various types of cancer including AML. The aim of this study was to analyze miR-223 level in serum as a potential indicator for AML diagnosis and prognosis prediction.

Pubmed ID: 31691380

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PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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