Handbook of RNA biochemistry: 2
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
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WILEY-VCH
2014
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Ausgabe: | 2., completely rev. and enl. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Literaturangaben |
Beschreibung: | XLII S., S. 547 - 1314 graph. Darst. |
ISBN: | 9783527327645 9783527647064 |
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020 | |a 9783527647064 |c oBook |9 978-3-527-64706-4 | ||
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245 | 1 | 0 | |a Handbook of RNA biochemistry |n 2 |c ed. by Roland K. Hartmann ... |
250 | |a 2., completely rev. and enl. ed. | ||
264 | 1 | |a Weinheim |b WILEY-VCH |c 2014 | |
300 | |a XLII S., S. 547 - 1314 |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Literaturangaben | ||
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700 | 1 | |a Hartmann, Roland K. |d 1956- |0 (DE-588)12993643X |4 edt | |
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776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-3-527-65055-2 |
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999 | |a oai:aleph.bib-bvb.de:BVB01-027238220 |
Datensatz im Suchindex
_version_ | 1804152109973635072 |
---|---|
adam_text | Contents
to
Volume 2
Preface
XXIII
List of Contributors
XXV
Part HI
RNA
Genomics
&
Bioinformatics, Global Approaches
547
26
Secondary Structure Prediction
549
Gerhard
Steger
26.1
Introduction
549
26.2
Thermodynamics
550
26.3
Fonnál
Background
552
26.4
mfeldandUBíÄFoId
555
26.4.1
Input to the mf old Server
556
26.4.1.1
Sequence Name
556
26.4.1.2
Sequence
556
VIII Contents
26.4.1.3
Constraints
556
26.4.1.4
Further Parameters
558
26.4.1.5
Immediate versus Batch Jobs
561
26.4.2
Output from the infold Server
561
26.4.2.1
Energy Dot Plot
561
26.4.2.2
Extra Files
563
26.4.2.3
Download All Foldings
563
26.4.2.4
View ss-Count Information
564
26.4.2.5
View Individual Structures
564
26.4.2.6
Dot Plot Folding Comparisons
565
26.5
RNAfold
565
26.5.1
Input to the KNAfold Server
566
26.5.1.1
Sequence and Constraints
566
26.5.1.2
Further Parameters
567
26.5.1.3
Immediate versus Batch Jobs
568
26.5.2
Output from the RNAfold Server
570
26.5.2.1
Text Output of Secondary Structure
570
26.5.2.2
Probability Dot Plot
570
26.5.2.3
Graphical Output of Secondary Structure
570
26.5.2.4
Mountain Plot
571
26.6
Troubleshooting
571
Acknowledgment
573
References
573
27
RNA
Secondary Structure Analysis Using Abstract Shapes
579
Robert Giegerich and
Björn Voß
27.1
Introduction to Abstract Shape Analysis
579
27.1.1
Looking Deeper into the
RNA
Folding Space
579
Xl
.X.I Overview of Functions of Abstract Shape Analysis
580
27.1.3
Definition of Shape Abstraction
580
27.1.3.1
Shapes
580
27.1.3.2
Shape Abstraction Function
581
27.1.3.3
Shape Representative Structures (shreps)
582
27.1.3.4
Levels of Abstraction
581
27.1.3.5
Shape Probabilities
582
27-1.3.6
Consensus Shape
582
27.1.4
General Caveats when Working with Abstract
Shapes
582
27.1.5
Applications of Abstract Shape Analysis
583
27.2
Protocol
1:
Computing Shape Representative
Structures
584
27.2.1
Useful Parameters for RNAshapes
585
273
Protocol
2:
Probabilistic Shape Analysis
585
27.3.1
Useful Parameters
587
Contents
I IX
27.4
Protocol
3:
Comparative Shape Analysis from Aligned
Sequences
587
27
A.I Useful Parameters for RNAlishapes
588
27.5
Protocol
4:
Comparative Shape Analysis from Unaligned
Sequences
588
27.5.1
Useful Parameters for RNAshapes
592
27.6
RNAshapes Parameter Overview
592
27.7
RNAlishapes Parameter Overview
593
References
594
28
Screening Genome Sequences for known
RNA
Genes or Motifs
595
Daniel Gautheret
28.1
Introduction
595
28.2
Choosing the Right Search Program
596
28.3
Overview of the
RNA
Search Procedure
597
28.4
Assessing Search Specificity
598
28.5
A Test Case: Looking for Homologs of a Bacterial sRNA
600
28.5.1
Building a First Training Set with BLASTN
600
28.5.2
Alignment and Structure Prediction
602
28.5.3
Searching with HMMER
604
28.5.4
Searching with RNAMOTIF
606
28.5.5
Searching with ERPIN
609
28.5.6
Searching with INFERNAL
614
28.6
Conclusion
615
28.7
Supplemental Data
625
28.8
Program Versions and Download Sites
616
Acknowledgments
626
References
626
29
Homology Search for Small Structured Non-coding RNAs
62 9
Manja
Marz, Stefanie
Wehner, and Peter F. Stadler
29.1
Introduction
629
29.2 Materials 629
29.2.1
Sequence Data
629
29.2.2 Web Services 620
29.2.3 Web
Service-Independent
Software 622
29.3
Protocol: mascRNAs
621
29.3.1
The Seed
622
29.3.2
Low-Hanging Fruits:
Initial BLAST
Search
623
29.3.3 Initial
Secondary Structure
Model 624
29.3.4 Drilling Deep -
Structure-Based Searches
625
29.4
Concluding Remarks
629
Acknowledgments
630
References
630
X
Contents
30
Predict
RNA 2D
and
3D
Structure over the Internet Using
MC-Tools
633
Stephen Leong Koan, Jonathan Roy, Marc
Parìsien,
and
François
Major
30.1
Introduction
633
30.2
Materials
634
30.2.1
Equipment
634
30.2.2
Data
634
30.3
MC-Tools
635
30.3.1
MC-Fold
635
30.3.2
MC-Cons
636
30.3.3
MC-Sym
636
30.4
Troubleshooting
663
Acknowledgments
663
References
663
31
S2S-Assemble2:
a Semi-Automatic Bioinformatics Framework to Study
and Model
RNA
3D
Architectures
667
Fabrice
Jossinet and Eric Westhof
31.1
Introduction
667
31.2
S2S: an Interactive
RNA
Alignment Viewer and Editor
668
31.3
Assemble2: an Interactive
RNA
3D
Modeler
671
31.4
The Semi-Automatic Architecture of S2S and Assemble2
672
31.5
Installation of S2S andAssemble2
673
References
685
32
Molecular Dynamics Simulations of
RNA
Systems
687
Pascal
Auffinger
32.1
Introduction
687
32.2
MD Methods
689
32.3
Simulation Setups
689
32.3.1
Selecting an Appropriate Starting Structure
689
32.3.1.1
Model-Built Structures
689
32.3.1.2
Х
-Ray and Neutron Diffraction Structures
689
32.3.1.3
Cryo-Electron Microscopy (Cryo-EM) Structures
690
32.3.1.4
NMR Structures
690
32.3.2
Checking the Starting Structure
690
32.3.2.1
Conformational Checks
690
32.3.2.2
Rare Non-covalent Interactions
691
32.3.2.3
Protonation
Issues
692
32.3.2.4
Solvent
692
32.3.3
Adding Hydrogen Atoms
693
323
A Choosing the Environment (Crystal, Liquid) and Ion
Types
693
32.3.5
Setting the Box Size and Placing the Ions and Water
693
32.3.5.1
Box Size
693
Contents
XI
32.3.5.2
Monovalent Ions
693
32.3.5.3
Divalent Ions
694
32.3.5.4 Minimal Salt
Conditions
694
32.3.5.5
Water Molecules
694
32.3.5.6 Building Initial Solute and Solvent
Configurations
694
32.3.6
Choosing the Program and Force Field
695
32.3.6.1
Programs
695
32.3.6.2
Force Fields
695
32.3.6.3
Parameterization of Modified Nucleotides, Ligands, and
Ions
696
32.3.6.4
Clustering Artifacts and Ion Parameters
696
32.3.6.5
Water Models
696
32.3.7
Treatment of Electrostatic Interactions
697
32.3.8
Other Simulation Parameters
697
32.3.8.1
Thermodynamic Ensemble
697
32.3.8.2
Temperature and Pressure
698
32.3.8.3
Shake, Time Steps, and Update of the Non-bonded Pair List
698
32.3.8.4
The Flying Ice Cube Problem
698
32.3.9
Equilibration
699
32.3.10
Sampling
699
32.3.10.1
How Long Should a Simulation Be?
699
32.3.10.2
When to Stop a Simulation
700
32.3.10.3
Multiple Molecular Dynamics (MMD) Simulations
701
32.3.10.4
Simulations of Large Systems
701
32.4
Analysis
702
32.4.1
Evaluating the Quality of the Trajectories
701
32.4.1.1
Consistency Checks
702
32.4.1.2
Comparison with Experimental Data
702
32.4.1.3
Visualization
702
32
АЛ Л
Validation through Statistical Survey of Structural Databases
703
32.4.2
Convergence Issues
703
32.4.3
Conformational Parameters
703
32.4.4
Data Analysis
704
32
АЛЛ
Clustering
704
32.4.4.2
Analysis Packages
704
32.4.4.3
Solvent Analysis
704
32.5
Perspectives
704
Acknowledgments
705
References
705
33
identification
and Characterization of Small Non-coding RNAs
in Bacteria
719
Dimitri
Podkaminski,
Marie Bouvier,
and
Jörg Vogel
33.1
Introduction
719
33.2
Expression-Based Discovery of sRNAs
720
ХИ
I Contents
33.2.1
Microarray
720
33.2.2
High-Throughput Sequencing and RNA-Seq
721
33.2.3
Hfq Coimmunoprecipitation
724
33.3
Expression-Independent Searches
726
33.3.1
Biocomputational Approaches
726
33.3.2
Genomic SELEX
728
33.4
Deciphering the Biological Role of an
s
RNA
728
33.4.1
sRNA Expression Profile
729
33.4.2
sRNA Deletion
729
33.4.3
s
RNA Overexpression
731
33.4.4
sRNA Pulse Expression Combined with
Transcriptome
Analysis
733
33.4.5
sRNA Libraries
734
33.4.6
Finding sRNA-Associated Proteins
735
33.4.7
Biocomputational Approaches to Find Targets
736
33.5
Experimental Target Validation
737
33.5.1
Reporter Gene Fusions and
s
RNA
Chimera
738
33.5.2
In vitro RNA-RNA Footprinting
739
33.5.3
In vitro Characterization of sRNA Function
741
33.6
Conclusions
742
Acknowledgments
776
References
776
34
The Identification of Bacterial Non-coding RNAs through
Complementary Approaches
787
Björn Voß
and Wolfgang R. Hess
34.1
Introduction
787
34.2
Computational Prediction
787
34.2.1
Workflow
788
34.2.2
Results and Interpretation
789
34.2.3
Alternative Approaches
790
34.2.4
Troubleshooting
791
34.2.4.1
Choice of Genomes
791
34.2.4.2
Short mRNAs and Dual-Function RNAs
794
34.3
Experimental Approaches for High-Throughput RNomics
in Bacteria
794
34.3.1
Microarray Analysis
794
34.3.1.1
Considerations for the Design of Tiling Microarrays
795
34.3.1.2
Considerations for the Design of Expression Microarrays
796
34.3.1.3
Direct Labeling of
RNA
for Microarray Hybridization
796
34.4
Troubleshooting
799
Acknowledgments
799
References
800
Contents
XIII
35
Experimentai
RNomics, a
Global Approach to Identify Non-coding
RNAs in Model Organisms, and RNPomics to Analyze the Non-coding
RN
Ρ
Transcriptome
801
Mathieu
Rederstorffand Alexander Hüttenhofer
35.1
Introduction
801
35.2
Computational Analysis of ncRNA Sequences
811
35.3
Notes
812
35.4
Computational Analysis of ncRN A Sequences
816
35.5
Notes
826
Acknowledgments
817
References
817
36
Computational Methods for Gene Expression Profiling Using
Next-Generation Sequencing (RNA-Seq)
821
John C. Castle
36.1
Introduction
821
36.2
Procedure Overview
822
36.2.1
Understand the Experiment and the Molecular Biology Protocol
823
36.2.1.1
Library Generation
823
36.2.1.2
Sequencing
825
36.2.2
Align Reads
826
36.2.3
Associate Reads with Transcripts
827
36.2.4
Determine Expression and Uncertainty
828
36.2.5
Normalization
828
36.2.6
Output and Viewing
828
36.2.7
Troubleshooting
829
36.2.8
The Future Is Bright!
830
36.3
Protocols: Useful Algorithms, Formats, and Tools
830
References
830
37
Characterization and Prediction of miRNA Targets
833
Jean Hausser
and Mihaela
Zavolán
37.1
Introduction
833
37.2
Description
834
37.2.1
Building a Set of Positives and Negatives ; Obtaining Examples of
Functional and Non-functional miRNA Binding Sites
835
37.2.1.1
Comparative genomics
836
37.2.1.2
miRNA perturbation and omics
837
37.2.1.3
Immunoprecipitation of RISC components
838
37.2.1.4
Measuring translation repression directly with polysome profiles
839
37.2.1.5
Which data set should one use for inferring properties that
characterize functional miRNA binding sites?
839
37.2.2
Properties of Functional miRNA Binding Sites
840
37.2.2.1
The seed binding criterion
840
37..2.2.2
Evolutionary conservation
841
XIV Contents
37.2.2.3
Stability of the miRNA-mRNA duplex
841
37.2.2.4
Structural accessibility
841
37.2.2.5
Sequence composition
842
37.2.2.6
Spatial effects
842
37.2.3
Combining Properties and Examples into a Predictive Model
843
37.2.3.1
Inferring properties that consistently predict miRNA targeting across
data sets
843
37.2.3.2
Training a miRNA target prediction model
846
37.3
Troubleshooting
847
37.3.1
Using miRNA target predictions in an experimental setting
847
37.3.1.1
How accurate are miRNA target predictions?
848
37.3.1.2
Which miRNA target prediction method should I use?
849
37.3.1.3
How many targets does a miRNA have?
850
37.3.1.4
Why does a particular high-confidence predicted target not change in
response to miRNA overexpression?
850
37.3.1.5
Transcript
χ
is a target of miRNA
y
according to method z, yet it does
not have an miRNA
y
seed match in the
3
UTR
850
37.3.1.6
The list of targets predicted by method
χ
has a different type of
identifiers
(Entrez
Gene ID/RefSeq ID/Ensembl transcript/
...)
than
the list predicted by method
y
or the list that one obtains in a
large-scale validation experiment (e.g., microarray
measurement)
851
37.3.2
The Complexity of Gene Regulation and its Impact on Designing
Accurate miRNA Target Prediction Methods
851
References
853
38
Barcoded cDNA Libraries for miRNA Profiling by Next-Generation
Sequencing
861
Markus Hafner,
Neil Renwick, John
Pena,
Aleksandra
Mihailovic,
and Thomas Tuschl
38.1
Introduction
861
38.2
Overview of the Method
862
38.3
Troubleshooting
872
Acknowledgments
872
References
872
39
Transcriptome-Wide Identification of Protein Binding Sites on
RNA
by
PAR-CLIP (Photoactivatable-Ribonucleoside-Enhanced Crosslinking and
Immunoprecipitation)
877
Jessica I. Hoell,
Markus Hafner, Markus
Landthaler, Manuel Ascano,
Thalia A. Farazi, Greg Wardle, Jejf Nusbaum,
Pavol
Cekan,
Mohsen Khorshid,
Lukas
Burger, Mihaela
Zavolán,
and Thomas Tuschl
39.1
Introduction
877
39.2
Troubleshooting
897
Contents
XV
Acknowledgments
897
References
897
40
Global Analysis of Protein-RNA Interactions with Single-Nucleotide
Resolution Using ¡CLIP
899
Julian
König,
Nicholas]. Me Glincy, andjernej
Ule
40.1
Introduction
899
40.2
Procedure
900
40.2.1
Overview
900
40.2.2
Antibody and Library Preparation Quality Control
902
40.2.3
Oligormcleotide Design
903
40.2.4
Troubleshooting
904
Acknowledgments
927
References
917
Part IV
RNA
Function, RNP Analysis, SELEX, RNAi
919
41
Use of
RNA
Affinity Matrices for the Isolation of
RNA
Binding
Proteins
921
Markus
Englert,
Bettina Späth, Steffen Schiffer, Sylvia Rösch,
Hildburg
Beier,
and Anita Marchfelder
41.1
Introduction
921
41.2 Applications 927
41.2.1
Purification of the Nuclear
tRNase Z
from Wheat Germ
927
41.2.2
Purification of the
tRNA-Splicing Ligase
from Wheat Germ
930
41.3
Notes
932
References
932
42
Biotin-Based Affinity Purification of
RNA-
Protein Complexes
935
Marco
Preußner, Silke Schreiner,
Inna Gríshina, Zsófia Palfi,Jingyi
Hui,
and Albrecht
Bindereif
42.1
Introduction
935
42.2
Materials
937
42.2.1
Biotinylated
Probes
937
42.2.2
Affinity Matrices
937
42.2.3
Cell Extracts
938
42.2.4
Buffers and Solutions
938
42.2.5
Additional Materials
939
42.3
Methods
939
42.3.1
Affinity Purification of
RNA-
Protein Complexes (RNPs)
939
42.3.1.1
Depletion of Total Cell
Lysáte
from SAg-Binding Material
(Preclearing}
940
42.3.1.2
Preblocking Streptavidin
Agarose
Beads
941
42.3.1.3
Affinity Selection of RNPs for Biochemical Studies
941
XVI
I Contents
42.3.1.4
Elution of Affinity-
S
elected RNPs for Functional Studies
Ъу
a
Displacement Oligonucleotide
945
42.3.2
Affinity Purification of Specific
RNA
Binding Proteins by Biotinylated
RNAs
948
42.33
Depletion of Nuclear Extract with Biotinylated
RNA
951
42.4
Troubleshooting
952
42.4.1
Biotinylated 2 OMe
RNA
Oligonucleotides
952
42.4.2
Extracts and Buffers
952
42.4.3
Optimization of the Experimental Conditions, When Yields Are
Low
952
42
A A Optimization of the Experimental Conditions in the Case of High
Background
953
References
953
43
Affinity Purification of Spliceosomai and Small Nuclear
Ribonucleoprotein Complexes
957
Julia Dannenberg,
Patrìzia
Fabrizio,
Cindy
L.
Will,
and
Reinhard Lührmann
43.1
Introduction
957
43.2
Immunoaffinity Purification
958
43.2.1
Generation of Antipeptide Antibodies:
Peptide
Selection Criteria
958
43.3
RNA Aptamer-Based
Affinity Purification
963
43.3.1
Approaches for the Isolation of Native Spliceosomai Complexes
963
Acknowledgments
971
References
972
44
Study of RNA-Protein Interactions and
RNA
Structure in
Ribonucleoprotein Particles (RNPs)
975
Virginie Marchand,
Annie Mougin,
Agnès Méreau,
Isabelle
Behm-Ansmant, Yuri
Motorin,
and
Christiane
Branlant
44.1
Introduction
975
44.2
Methods
978
44.2.1
RNP Reconstitution
978
44.2.1.1
Equipment,
Materials, and Reagents
978
44.2.1.2
RNA
Preparation and Renaturation Step
980
44.2.2
EMSA
981
44.2.2.1
EMSA Method
981
44.2.2.2
Supershift Method
983
44.2.2.3
Identification of Proteins Contained in RNP by EMSA Experiments
Coupled to a Second Gel Electrophoresis and Western Blot
Analysis
984
44.2.3
Purification of RNPs Reconstituted in Complex Cellular Extracts
986
44.2
A Methods for RNP Purification Using Tobramycin-Sepharose or
MS2-MBP Affinity Chromatography
987
44.2.4.1
Equipment and Materials Common to the Two Approaches
987
Contents
XVII
44.2.4.2 RNP
Purification
Using Tobramycin-Sepharose
987
44.2.4.3
Formation of RNPs in the Cellular Extract
989
44.2.4.4
Elution of Purified RNPs under Native Conditions
989
44.2.4.5
MS2-MBP Affinity Chromatography
989
44.2.4.6
Elution and Analysis of Purified RNPs
990
44.2.4.7
Analysis of the Purified RNP Protein Content
990
44.2.5
Probing of
RNA
Structure
991
44.2.5.1
Properties of the Probes Used
991
44.2.5.2
Equipment, Material, and Reagents
993
44.2.5.3
Probing Method
994
44.2.6
UV Crosslinking and Immunoselection
999
44.2.6.1
Equipment, Materials, and Reagents
1000
44.2.6.2
UV-Crosslinking Method
1003
44..3
Commentaries and Pitfalls
1005
44.3.1
RNP Purification and
Reconstitution
1005
44.3Л.1
RNA
Purification and Renaturation
1005
44.3.1.2
EMSA
1005
44.3.1.3
Tobramydn
-
S
epha rose Affinity Chromatography
1006
44.3.2
Probing Conditions
1006
44.3.2.1
Choice of the Probes Used
1006
44.3.2.2
Ratio of RNA/Probes
1007
44.3.3
UV Crosslinking
1008
44.3.3.1
Photoreactivity of Individual
Amino
Acids and Nucleotide
Bases
1008
44.3.3.2
Labeled Nucleotide in
RNA
1008
44.3.4
Immunoprecipitations
1008
44.3.4.1
Efficiency of Immunoadsorbents for Antibody Binding
1008
44.4
Troubleshooting
1008
44.4.1
RNP Purification by Tobramycin-Sepharose or MS2-MBP Affinity
Chromatography
1008
44.4.2
RNP
Reconstitution
1009
44.4.3
RNA
Probing
1009
44.4.4
UV Crosslinking
1009
44.4.5
Immunoprecipitations
1009
Acknowledgments
1010
References
1010
45
Immunopurification of Endogenous RNAs Associated with
RNA
Binding Proteins in vivo
1017
Minna-Liisa
Änkö
and
Karla
M.
Neiigebauer
45.1
Introduction
1017
45.2
Description of Methods
1017
45.2.1
Overview
1017
45.2.2
Analysis of Coimmunoprecipitated
RNA
1022
45.2.2.1
Microarray Analysis of Immunopurified
RNA
1022
XVIII Contents
45.2.2.2
RT-PCR
Analysis
of
ïmmimopurified RNA
1024
45.2.2.3
Next-Generation Sequencing of
ímmunopurified
RNA
1025
45.3
Troubleshooting
1025
45.3.1
Critical Points and Common Problems
1025
45.3.2
Uncrosslinked or Crosslinked
RNA Immunoprecipitation
1026
45.3.3
Microarray Data Analysis
1026
45.4
Conclusions
2027
Acknowledgments
1027
References
2027
46
Protein-RNA Crossiinking in Native
Ribo
nucleop
rotei
n
Particles
2029
Olexandr Dybkov,
Henning Urlaub,
and
Reinhard Lührmann
46.1
Introduction
1029
46.2
Overall Strategy
1030
46.3
UV Crossiinking
2O3Í
46.4
Identification of UV-Induced Protein-RNA Crossiinking Sites by
Primer Extension Analysis
2033
46.5
Identification of Crosslinked Proteins
2037
46.6
Troubleshooting
2040
Acknowledgments
2050
References
1050
47
Sedimentation Analysis of Ribonudeoprotein Complexes
2055
Tanja
Rosei,
Jan Medenbach, Andrey Damianov,
Silke Schreiner,
and
Albrecht Bindereif
47.1
Introduction
1055
47.2
Glycerol Gradient Centrifugation
2056
47.3
Fractionation of Ribonucleoproteins (RNPs) by Cesium Chloride
Density Gradient Centrifugation
1061
References
2 065
48
identification and Characterization of
RNA
Binding Proteins through
Three-Hybrid Analysis
2067
Felicia Scott and David R. Engelke
48Л
Introduction
2067
48.2
Basic Strategy of the Method
2068
48.3
Detailed Components
1070
48.3.1
Yeast Reporter Strain
2070
48.3.2
Plasmids
1070
48.3.3
Hybrid
RNA
2072
48.3.3.1
Technical Considerations for the Hybrid
RNA
1072
48.3.4
Activation Domain FP2
2073
48.3.4.1
Technical Considerations for the Activation Domain of FP2
2074
48.3.5
Positive Controls
2075
48.4
Troubleshooting
2079
Contents XIX
48.5
Additional Applications
1081
48.6
Summary
1082
Acknowledgments
1083
References
1083
49
Experimental Identification of MicroRNA Targets
1087
Michaela
Beitzinger and
Gunter Meister
49.1
Introduction
1087
49.2
Troubleshooting and Notes
1093
49.3
Buffers and Solutions
1094
References
1095
50
Aptamer Selection against Biological Macromolecules: Proteins and
Carbohydrates
1097
Franziska
Peter and C. Stefan Voertler
50.1
Introduction
1097
50.2
General Strategy
1098
50.2.1
Choosing a Suitable Target
1100
50.2.1.1
Protein Targets
2100
50.2.1.2
Carbohydrate Targets
1101
50.2.2
Immobilization of the Target
1102
50.2.3
Selection Assays
1103
50.2.4
Design and Preparation of the Library
1103
50.3
Running the In vitro Selection Cycle
1104
50.4
Analysis of the Selection Outcome
1106
50.5
Troubleshooting
1107
Acknowledgments
1131
References
1131
51
In Vitro Selection against Small Targets
1139
Dirk Eulberg, Christian Maasch, Werner G. Purschke, and
Sven Klussmann
51.1
Introduction
1139
51.2
Target Immobilization
1142
51.2.1
Covalent Immobilization
1143
51.2.1.1
Epoxy-Activated Matrices
1143
51.2.1.2
NHS-Activated Matrices
1145
51.2.1.3
Pyridyl Disuifide-Activated Matrices
1146
51.2.2
Non-covalent Immobilization
1147
51.3
Nucleic Acid Libraries
1148
51.3.1
Library Design
1148
51.3.2
Starting Pool Preparation
1149
51.4
Enzymatics
2250
51.4.1
Reverse Transcription
2152
51.4.2
Polymerase Chain Reaction
2252
XXI Contents
51.4.3 In Vitro Transcription 1153
51.5
Partitioning
1154
51.6
Binding Assays
1159
51.6.1
Equilibrium Dialysis
1159
51.6.2
Equilibrium Filtration Analysis
1160
51.6.3
I
socratic
Competitive Affinity Chromatography
1161
References
1162
52
SELEX Strategies to Identify Antisense and Protein Target Sites in
RNA
or hn
RN
Ρ
Complexes
1165
Martin
Lützelberger,
Martin R. Jakobsen, andj0rgen Kjems
52.1
Introduction
1165
52.1.1
Applications for Antisense
1166
52.1.2
Selecting Protein Binding Sites
1166
52.2
Construction of the Library
1166
52.2.1
Generation of Random
DNA
Fragments from Genomic or Plasmid
DNA 1168
52.2.2
Preparing
RNA
Libraries from Plasmid, cDNA, or Genomic
DNA 1168
52.3
Identification of Optimal Antisense Annealing Sites in RNAs
1169
52.4
Identification of Natural
RNA
Substrates for Proteins and Other
ligands
1171
52.5
Cloning, Sequencing, and Validating the Selected Inserts
1171
52.6
Troubleshooting
1172
52.6.1
Sonication of Plasmid
DNA
does not Yield Shorter Fragments
1172
52.6.2
Inefficient Ligation
2272
52.6.3
Inefficient
Mme
I Digestion
2272
52.6.4
The Amplification of the Unselected Library is Inefficient
2 2 73
52.6.5
The Library Appears to be Non-Random in the Unselected Pool
2 273
52.6.6
The Selected RNAs do not Bind to Native Protein
2 273
References
2282
53
Genomic SELEX
2285
Jennifer L. Boots,
Katarzyna
Matylla-Kulinska,
Marek Zywicki,
Bob
Zimmermann,
and
Renée Schroeder
53.1
Introduction
2285
53.2
Description of the Methods
2286
53.2.1
Library Construction
2286
53.2.2
Choice of Bait
2288
53.2.3
SELEX Procedure
2288
53.2.3.1
Transcription of Genomic Library into
RNA
Library
2290
53.2.3.2
Counter Selection
2290
53.2.3.3
Positive Selection
2290
53.2.3.4
Recovery and Amplification of Selected Sequences
2192
53.2.3.5
Neutral SELEX
2292
Contents XXI
53.2.3.6
Cloning and Sequencing
1194
53.2.4
Troubleshooting
1194
53.3
Evaluation of Obtained Sequences
1194
53.3.1
Computational Analysis of SELEX-Derived Sequences
1194
53.3.1.1
Read Filtering and Cleaning
1196
53.3.1.2
Genome Mapping
1196
53.3.1.3
Assembly and Annotation
1197
53.3.1.4
Enrichment Analysis
1197
53.3.1.5
Benefits of Sequencing the Initial Library
1198
53.3.1.6
Identification of the Binding Motif
1198
53.3.2
В
iochemìcal
Analysis of the Genomic Aptamers
1199
53.3.2.1
Validation of the
RNA-
Protein Interaction
1199
53.3.2.2
Expression Analysis of Genomic Aptamers
1199
53.3.2.3
Reconstruction of the Whole-Transcript-Comprising Genomic
Aptamer
1200
53.3.2.4
Determining the Function of the RNA-Protein Interaction
1200
53.4
Conclusions and Outlook
1202
Acknowledgments
2202
References
2202
54 ín
vivo SELEX Strategies
1207
Thomas A. Cooper
54.1
Introduction
1207
54.2
Procedure Overview
1208
54.2.1
Design of the Randomized Exon Cassette
2210
54.2.2
Design of the Minigene
2212
54.2.3
RT-PCR Amplification
22Ï3
54.2.4
Monitoring for Enrichment of Exon Sequences That Function as
Splicing Enhancers
1213
54.2.5
Troubleshooting
1214
Acknowledgments
1218
References
2229
55
Gene Silencing Methods Using Vector-Encoded siRN As or
miRNAs
2222
Ying
Poi
Liu and Ben
Berkhout
55.1
Introduction
1222
55.2
Background Information
2222
55.3
Construction of shRNA Vectors
2223
55.4
Construction of miRNA Vectors 222S
55.5
Construction of Extended shRN As and lhRN As
2229
55.6
Production of Lentivirai Vectors Encoding Anti-HIV-1 shRNAs or
e-shRNAs
2230
55.6.1
Troubleshooting
2234
References
1235
XXII Contents
56
Using Chemical Modification to Enhance siRNA Performance
1243
Jesper
В.
Bramsen, Arnold
Grünweiler,
Roland K.
Hartmann,
and
Jürgen Kjems
56.1
introduction
1243
56.2
Numerous siRNA Designs: What siRNA Architecture to
Choose?
1243
56.3
siRNA Tolerance Toward Modification
1244
56.4
Tools for Chemical Modification of siRNAs
1245
56.4.1
siRNA Backbone Modifications
1246
56.4.2
Ribose
2 -OH
Substitutions
1248
56.4.3
Alteration of the Ribose Backbone
1251
56.4.4
Base Modifications
1252
56.5
Improving siRNA Potency
2252
56.6
Enhancing siRNA Nuclease Resistance
1253
56.6.1
siRNA Stability and Ribonucleases
1253
56.6.2
Strategies for siRNA Stabilization
2254
56.7
Enhancing siRNA Silencing Duration
1255
56.8
siRNA Immunogenicity
1256
56.8.1
Cellular Response to siRNA
1256
56.8.2
Chemical Modification Can Abrogate siRNA Immunogenicity
2257
56.9
Reducing siRNA Off-Target Effects by Chemical Modification
1258
56.9.1
Off-Target Effects Caused by miRNA-Like Activities
1258
56.9.2
Reducing OfF-Targeting by Chemical Modification of the siRNA Guide
Strand Seed Region
1258
56.9.3
Avoiding Passenger Strand Off-Targeting
1259
56.10
Chemical Modifications Can Improve siRNA Pharmacokinetics
1259
56.10.1
Enhancing Cellular Delivery by siRNA Conjugation
1260
56.10.2
Altering
Biodistribution
by siRNA Conjugation
1261
56.11
Chemical Modification of siRNAs
-
State of the Art
2261
56.12
A Guide for In vivo Studies
2262
References
2265
Appendix: UV Spectroscopy for the Quantitation of
RNA
2279
Index
1283
|
any_adam_object | 1 |
author2 | Hartmann, Roland K. 1956- |
author2_role | edt |
author2_variant | r k h rk rkh |
author_GND | (DE-588)12993643X |
author_facet | Hartmann, Roland K. 1956- |
building | Verbundindex |
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ctrlnum | (OCoLC)876246174 (DE-599)BVBBV041792630 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 572 - Biochemistry |
dewey-raw | 572.88 |
dewey-search | 572.88 |
dewey-sort | 3572.88 |
dewey-tens | 570 - Biology |
discipline | Biologie |
edition | 2., completely rev. and enl. ed. |
format | Book |
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institution | BVB |
isbn | 9783527327645 9783527647064 |
language | English |
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physical | XLII S., S. 547 - 1314 graph. Darst. |
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spelling | Handbook of RNA biochemistry 2 ed. by Roland K. Hartmann ... 2., completely rev. and enl. ed. Weinheim WILEY-VCH 2014 XLII S., S. 547 - 1314 graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben RNS (DE-588)4076759-0 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content RNS (DE-588)4076759-0 s DE-604 Hartmann, Roland K. 1956- (DE-588)12993643X edt (DE-604)BV019662557 2 Erscheint auch als Online-Ausgabe, EPUB 978-3-527-65054-5 Erscheint auch als Online-Ausgabe, MOBI 978-3-527-65053-8 Erscheint auch als Online-Ausgabe, PDF 978-3-527-65055-2 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027238220&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Handbook of RNA biochemistry RNS (DE-588)4076759-0 gnd |
subject_GND | (DE-588)4076759-0 (DE-588)4143413-4 |
title | Handbook of RNA biochemistry |
title_auth | Handbook of RNA biochemistry |
title_exact_search | Handbook of RNA biochemistry |
title_full | Handbook of RNA biochemistry 2 ed. by Roland K. Hartmann ... |
title_fullStr | Handbook of RNA biochemistry 2 ed. by Roland K. Hartmann ... |
title_full_unstemmed | Handbook of RNA biochemistry 2 ed. by Roland K. Hartmann ... |
title_short | Handbook of RNA biochemistry |
title_sort | handbook of rna biochemistry |
topic | RNS (DE-588)4076759-0 gnd |
topic_facet | RNS Aufsatzsammlung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027238220&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV019662557 |
work_keys_str_mv | AT hartmannrolandk handbookofrnabiochemistry2 |