Table of Contents
Dataset Papers in Science
Volume 2014, Article ID 780726, 24 pages
Dataset Paper

MicroRNA Gene Interaction in Amyotrophic Lateral Sclerosis Dataset

Functional Genomics and Gene Silencing Group, Centre for Cellular and Molecular Biology, Hyderabad 500007, India

Received 4 September 2013; Accepted 18 February 2014; Published 30 June 2014

Academic Editors: Q. Cui, A. Falus, and H. Ihn

Copyright © 2014 Santosh Shinde and Utpal Bhadra. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


All microRNAs (miRNAs) in amyotrophic lateral sclerosis (ALS) study were collected from public databases such as miRBase, mir2Disease, and Human miRNA and Disease Database (HMDD). These miRNA datasets were used for target identification; these sets of miRNAs were expressed in brain specific parts of brain such as midbrain, cerebellum, frontal cortex, and hippocampus. Gene’s information and sequences were collected from NCBI and KEGG databases. All miRNAs were used for target prediction against 35 ALS associated genes. Three programs were used for target identification, namely, miRanda, TargetScan, and PicTar. The dataset contained information about miRNA targets sites identified by each program. Intersection studies of three programs such as miRanda versus TargetScan, miRanda versus PicTar, and TargetScan versus PicTar were carried out with all datasets. Target sites identified by each program were further explored for distribution of target sites across 35 genes in 5′ UTR, CDS, and 3′ UTR for miRNAs expressed in midbrain, cerebellum, frontal cortex, and hippocampus as predicted. Dataset was also used for calculation of multiplicity and coopretivity; this information was then used for construction of complex gene-microRNA interaction map.