Volume 126, Issue 6, Pages (September 2006)

Slides:



Advertisements
Similar presentations
SOD1 Integrates Signals from Oxygen and Glucose to Repress Respiration Amit R. Reddi, Valeria C. Culotta Cell Volume 152, Issue 1, Pages (January.
Advertisements

Individualized Medicine from Prewomb to Tomb Eric J. Topol Cell Volume 157, Issue 1, Pages (March 2014) DOI: /j.cell Copyright.
The RAG Recombinase Dictates Functional Heterogeneity and Cellular Fitness in Natural Killer Cells Jenny M. Karo, David G. Schatz, Joseph C. Sun Cell Volume.
The Cell-Non-Autonomous Nature of Electron Transport Chain-Mediated Longevity Jenni Durieux, Suzanne Wolff, Andrew Dillin Cell Volume 144, Issue 1, Pages.
What We Talk About When We Talk About Fat Evan D. Rosen, Bruce M. Spiegelman Cell Volume 156, Issue 1, Pages (January 2014) DOI: /j.cell
Transcriptional Control of Gene Expression by MicroRNAs Basel Khraiwesh, M. Asif Arif, Gotelinde I. Seumel, Stephan Ossowski, Detlef Weigel, Ralf Reski,
Common Sense about Taste: From Mammals to Insects David A. Yarmolinsky, Charles S. Zuker, Nicholas J.P. Ryba Cell Volume 139, Issue 2, Pages (October.
UvrD Helicase Unwinds DNA One Base Pair at a Time by a Two-Part Power Stroke Jae Young Lee, Wei Yang Cell Volume 127, Issue 7, Pages (December.
Eph-Ephrin Bidirectional Signaling in Physiology and Disease Elena B. Pasquale Cell Volume 133, Issue 1, Pages (April 2008) DOI: /j.cell
The Good Fat Cell Volume 147, Issue 7, (December 2011) DOI: /j.cell Copyright © 2011 Terms and Conditions Terms and Conditions.
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Alessandra Pasut, Michael A. Rudnicki  Cell Stem Cell 
How MicroRNAs Modify Protein Production
A Blend of Two Circadian Clocks, Seasoned to Perfection
MicroRNAs: Target Recognition and Regulatory Functions
New Hope for a MicroRNA Therapy for Liver Cancer
Mapping Human Epigenomes
Eun-Jung Jung, George A. Calin  Cancer Cell 
ATM Gene Mutations Result in Both Recessive and Dominant Expression Phenotypes of Genes and MicroRNAs  Denis A. Smirnov, Vivian G. Cheung  The American.
Regulating Cancer Stem Cells the miR Way
A PASport to Cellular Proliferation
Retrotransposition and Structural Variation in the Human Genome
Conserved Seed Pairing, Often Flanked by Adenosines, Indicates that Thousands of Human Genes are MicroRNA Targets  Benjamin P. Lewis, Christopher B. Burge,
In This Issue Cell Volume 158, Issue 5, (August 2014)
Volume 131, Issue 1, Pages (October 2007)
MicroRNAs and Parallel Stem Cell Lives
The Importance of Timing
Does the Bicoid Gradient Matter?
HMGA2, MicroRNAs, and Stem Cell Aging
Edwards Allen, Zhixin Xie, Adam M. Gustafson, James C. Carrington  Cell 
Stop that Noise and Turn Up the Antisense Transcription
Volume 152, Issue 1, (January 2013)
Volume 48, Issue 5, Pages (December 2012)
Volume 133, Issue 1, Pages (April 2008)
Robert Schickel, Sun-Mi Park, Andrea E. Murmann, Marcus E. Peter 
The Many Faces of PPARγ Cell
Slicing-Independent RISC Activation Requires the Argonaute PAZ Domain
MicroRNAs: From Decay to Decoy
Volume 130, Issue 6, (September 2007)
Expression of a microRNA-Resistant Target Transgene Misrepresents the Functional Significance of the Endogenous microRNA: Target Gene Relationship  Junyan.
Volume 116, Issue 2, Pages (January 2004)
Volume 128, Issue 6, Pages (March 2007)
Prediction of Mammalian MicroRNA Targets
Expression of Alternative Ago2 Isoform Associated with Loss of microRNA-Driven Translational Repression in Mouse Oocytes  Jacob W. Freimer, Raga Krishnakumar,
Modeling Transcriptome Dynamics in a Complex World
Fishing for Biomarkers with Antigen Mimics
Picking Pyknons out of the Human Genome
Prediction of Plant MicroRNA Targets
The Long and Short of MicroRNA
Volume 143, Issue 6, (December 2010)
Molecular Basis for Target RNA Recognition and Cleavage by Human RISC
ATM Gene Mutations Result in Both Recessive and Dominant Expression Phenotypes of Genes and MicroRNAs  Denis A. Smirnov, Vivian G. Cheung  The American.
mRNA Helicase Activity of the Ribosome
Negative Regulation of Tumor Suppressor p53 by MicroRNA miR-504
Volume 6, Issue 3, Pages (March 2016)
MicroRNA-155 Function in B Cells
MiR-431-5p directly targets RAF1 and is negatively correlated to RAF1 expression (A) The predicted binding sites of miR-431-5p and RAF1 3′-UTR, and mutant.
The Expression of MicroRNA-598 Inhibits Ovarian Cancer Cell Proliferation and Metastasis by Targeting URI  Feng Xing, Shuo Wang, Jianhong Zhou  Molecular.
Volume 163, Issue 4, (November 2015)
Immune Cells Exploit a Neural Circuit to Enter the CNS
Volume 163, Issue 2, (October 2015)
Regulation of KSHV Lytic Switch Protein Expression by a Virus-Encoded MicroRNA: An Evolutionary Adaptation that Fine-Tunes Lytic Reactivation  Priya Bellare,
Volume 33, Issue 1, Pages (July 2010)
Correlation of miR-21 expression levels with DEGs in 28 bladder cancer cell lines. Correlation of miR-21 expression levels with DEGs in 28 bladder cancer.
Circular RNA Transcriptomic Analysis of Primary Human Brain Microvascular Endothelial Cells Infected with Meningitic Escherichia coli  Ruicheng Yang,
Volume 134, Issue 6, (September 2008)
In This Issue Cell Volume 145, Issue 3, (April 2011)
Genomics in Africa: Avoiding Past Pitfalls
Volume 148, Issue 1, (January 2012)
Targeting Protein Stability with a Small Molecule
Presentation transcript:

Volume 126, Issue 6, Pages 1203-1217 (September 2006) A Pattern-Based Method for the Identification of MicroRNA Binding Sites and Their Corresponding Heteroduplexes  Kevin C. Miranda, Tien Huynh, Yvonne Tay, Yen-Sin Ang, Wai-Leong Tam, Andrew M. Thomson, Bing Lim, Isidore Rigoutsos  Cell  Volume 126, Issue 6, Pages 1203-1217 (September 2006) DOI: 10.1016/j.cell.2006.07.031 Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 1 Flowchart Showing the Various Steps of the Method Cell 2006 126, 1203-1217DOI: (10.1016/j.cell.2006.07.031) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 2 Focusing on a Few, Short Target Islands Instead of the Complete UTR Sequence Improves the Noise Characteristics of MicroRNA Target Identification (A) Probability density function and cumulative for the number of target islands that rna22 generates from human 3′UTRs. (B) Probability density function and cumulative for the effective 3′UTR length reduction ρ by rna22 (see also text). Cell 2006 126, 1203-1217DOI: (10.1016/j.cell.2006.07.031) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 3 Ability of the Method to Identify Previously Reported Binding Sites Using as Training Set a Release of the RFAM Database from January 2004 See text for color convention. The data are from Brennecke et al., 2003; Johnston and Hobert, 2003; Kiriakidou et al., 2004; Lewis et al., 2003; Moss et al., 1997; Poy et al., 2004; Reinhart et al., 2000; Schratt et al., 2006; Stark et al., 2003; and Yekta et al., 2004. Cell 2006 126, 1203-1217DOI: (10.1016/j.cell.2006.07.031) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 4 Results of Luciferase-Based Assays of Predicted Targets in 293T Cells for miR-375, miR-296, and miR-134 In all the plots, the y axis shows the relative level of luciferase expression, whereas points along the x axis correspond to the various tested predictions. See Supplemental Data for ENSEMBL identifiers and tested target sequences. Luciferase vector without MRE is shown as psiCHECK2. Error bars, SD for n = 12 repetitions. AS-miRXX indicates the sequence that is anti-sense to miR-XX and XX is one of 375, 296, 134, 21. See also text. Cell 2006 126, 1203-1217DOI: (10.1016/j.cell.2006.07.031) Copyright © 2006 Elsevier Inc. Terms and Conditions

Figure 5 Improvement in rna22's Ability to Identify Previously Reported Binding Sites after Training with the December 2005 Release of the RFAM Database The color coding convention and shown data are as in Figure 3. See also text. Cell 2006 126, 1203-1217DOI: (10.1016/j.cell.2006.07.031) Copyright © 2006 Elsevier Inc. Terms and Conditions