INT300353

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Context Info
Confidence 0.12
First Reported 2010
Last Reported 2010
Negated 1
Speculated 0
Reported most in Body
Documents 6
Total Number 6
Disease Relevance 3.49
Pain Relevance 0.16

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Anatomy Link Frequency
colon 2
muscle 1
MIR1-1 (Homo sapiens)
Pain Link Frequency Relevance Heat
tolerance 26 92.68 High High
endometriosis 29 87.04 High High
Central nervous system 12 65.04 Quite High
Demyelination 3 7.56 Low Low
Spinal cord 5 5.00 Very Low Very Low Very Low
Chronic pancreatitis 4 5.00 Very Low Very Low Very Low
Pain 4 5.00 Very Low Very Low Very Low
Multiple sclerosis 3 5.00 Very Low Very Low Very Low
withdrawal 3 5.00 Very Low Very Low Very Low
pain pelvic 2 5.00 Very Low Very Low Very Low
Disease Link Frequency Relevance Heat
Pancreatic Cancer 28 99.76 Very High Very High Very High
Cancer 345 95.96 Very High Very High Very High
Impaired Glucose Tolerance 26 92.68 High High
Diabetes Mellitus 158 91.48 High High
Endometriosis 33 87.04 High High
Prostate Cancer 40 85.88 High High
Disease 50 81.52 Quite High
Glioma 3 66.68 Quite High
Malignant Neoplastic Disease 5 66.28 Quite High
Insulin Resistance 70 50.00 Quite Low

Sentences Mentioned In

Key: Protein Mutation Event Anatomy Negation Speculation Pain term Disease term
EP300 is involved in colon and pancreatic cancer (predicted target of miR-17-5p, miR-32, miR-20a and miR-106a), and so on.
Regulation (target) of miR in colon associated with pancreatic cancer
1) Confidence 0.12 Published 2010 Journal Silenc Section Body Doc Link PMC2835996 Disease Relevance 1.24 Pain Relevance 0
For example, APC is involved in colon and pancreatic cancer and it is a predicted target of miR-17-5p, miR-32, miR-20a and miR-106a.
Regulation (target) of miR in colon associated with pancreatic cancer
2) Confidence 0.12 Published 2010 Journal Silenc Section Body Doc Link PMC2835996 Disease Relevance 1.14 Pain Relevance 0
Several groups have used microarray data to examine the expression changes when a single miRNA changes, and we used the mean absolute expression approach described recently by Arora and Simpson [49] and also the tissue-centric approach described by Sood et al. [50] to determine whether we could detect shifts in the average expression of mRNA targets of the muscle-specific miRNAs (miR-1, miR-133a/b and miR-206, collectively known as 'myomirs') in human skeletal muscle.
Regulation (targets) of miR-1 in muscle
3) Confidence 0.08 Published 2010 Journal Genome Med Section Body Doc Link PMC2847700 Disease Relevance 0 Pain Relevance 0
ANOVA indicated that miR-133a (F = 11.8, P < 0.0001) was significantly different between the three groups, miR-206 expression more modestly altered (F = 4.5, P = 0.02) and miR-1 and miR-133b were unchanged (Figure 2c).
Neg (unchanged) Regulation (unchanged) of miR-1
4) Confidence 0.03 Published 2010 Journal Genome Med Section Body Doc Link PMC2847700 Disease Relevance 0.73 Pain Relevance 0.05
For instance, TPPP/p25 is a potential target for several miRNAs, including miR-1.
Regulation (target) of miR-1
5) Confidence 0.02 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2864763 Disease Relevance 0.13 Pain Relevance 0.03
As expected, the different algorithms used to predict miRNA targets led to the identification of different molecular networks.
Regulation (targets) of miRNA
6) Confidence 0.00 Published 2010 Journal Journal of Biomedicine and Biotechnology Section Body Doc Link PMC2837904 Disease Relevance 0.25 Pain Relevance 0.08

General Comments

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