The Mythology of “micro”-RNAs
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Figures

Here, we provide our results with descriptions.


  1. TCGA Data Statistics
  2. Distribution of known miRNAs in miRBase version 21 which display significant diversion from typical concept of canonical miRNA
  3. Venn diagram representing target genes identified in AGO1-4 HITS-CLIP data and CLASH seq-data. Most of these rsRNA:target gene site (10,621) was identified in all the five methods
  4. Figure illustrate the target genes whose targeting rsRNAs have biogenesis locus on the respective opposite strand and the target binding sites and rsRNA biogenesis site coincides
  5. Cancer associated target genes identified in this study. Genes in green shows down-regulation in cancer states, whereas genes in red show up-regulation in cancer in this study
  6. Overall distribution and associations of rsRNAs regions. Large number of rsRNAs were found associated with complex repetitive elements
  7. (A) Comparison of rsRNAs expression profile over the Alu consensus for normal and cancerous conditions across five individuals for BLCA cancer.
    (B) Distribution of reads mapping on rsRNAs originating from repetitive elements normalized by totao number of repeat copy and average length of repeats
  8. Figure describes the rsRNAs classified in one cluster based on clustering methods namely seed based, length based, expression based and coordinates bound. Commonality across the cluster is studied.
  9. Figure describing the analysis performed in database.
  10. Complete database structure of the information portal.

Supplementary Files

  1. Description and source of data for experiments used in this study
  2. List of common and unique genes identified in AGO based HITS-CLIP data and CLASH data
  3. List of rsRNAs found targeting genes and have significantly inverse correlation coefficient with protein expression
  4. List of data from TCGA and miRNAs reported in miRBase version 21 which were originating from intronic regions of genes
  5. List of rsRNAs locus overlapping with Alus, Linc RNA, hAT-charlie and intronic locus
  6. Enrichment analysis of genes tarted by rsRNAs originating from Alus, linc RNA, hAT-charlie and intronic locus
  7. Annotation of rsRNA-6458-n loci in human genome HG19 build
  8. Most significant enriched pathways regulated by rsRNAs in a cluster based on length of rsRNAs
  9. Properties of clusters created based on rsRNAs expression
  10. Top 10 significantly differentially expressed small regulatory RNAs in 19 cancer and respective normal states
  11. Distribution of rsRNAs shared by clusters identified using different clustering methods
  12. List of most significantly enriched pathways affected by rsRNA-9881-n
  13. List of best location rsRNAs bed file

Alu Related Analysis

  1. Alu repeats Upregulated in Cancer condition
  2. Alu repeats Upregulated in Normal Condition
  3. Anticorrelated rsRNAs
  4. Chromosome-wise Distributions of cancer Genes and rsRNAs.
  5. Chromosome-wise Distributions of AGO 1-4 and CLASH supported rsRNAs.
  6. Genome wide read distribution Repeats plot.
  7. Genome wide read distribution statistics of Repeats.

Length-wise abundance of Alu Repeats in Cancers

  1. Lengthwise abundance of Alu Repeats in BLCA
  2. Lengthwise abundance of Alu Repeats in BRCA
  3. Lengthwise abundance of Alu Repeats in COAD
  4. Lengthwise abundance of Alu Repeats in HNSC
  5. Lengthwise abundance of Alu Repeats in KIRC
  6. Lengthwise abundance of Alu Repeats in KIRP
  7. Lengthwise abundance of Alu Repeats in LAUD
  8. Lengthwise abundance of Alu Repeats in LUSC
  9. Lengthwise abundance of Alu Repeats in PRAD
  10. Lengthwise abundance of Alu Repeats in STAD
  11. Lengthwise abundance of Alu Repeats in THCA
  12. Lengthwise abundance of Alu Repeats in UCEC

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