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Small Molecule Microarrays

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Cover of 'Small Molecule Microarrays'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Expanding World of Small Molecule Microarrays
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    Chapter 2 Novel Substrates for Microarrays
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    Chapter 3 Fabrication of Bio-function-Preserved Saccharide Microarray Chips with Cyanuric Chloride as a Rotatable Linker
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    Chapter 4 Fabrication of Carbohydrate Microarrays by Boronate Formation
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    Chapter 5 Clickable Polymeric Coating for Glycan Microarrays
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    Chapter 6 A Versatile Microarray Immobilization Strategy Based on a Biorthogonal Reaction Between Tetrazine and Trans-Cyclooctene
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    Chapter 7 Label-Free Sensing on Microarrays
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    Chapter 8 Optical Microscopy for Detecting Binding on Small Molecule Microarrays
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    Chapter 9 Array-on-Array Strategy For Activity-Based Enzyme Profiling
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    Chapter 10 Protein–Protein Interaction Inhibitors of BRCA1 Discovered Using Small Molecule Microarrays
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    Chapter 11 Discovery of RNA Binding Small Molecules Using Small Molecule Microarrays
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    Chapter 12 Profiling Phosphopeptide-Binding Domain Recognition Specificity Using Peptide Microarrays
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    Chapter 13 Validation Procedure for Multiplex Antibiotic Immunoassays Using Flow-Based Chemiluminescence Microarrays
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    Chapter 14 Large-Scale Interaction Profiling of Protein Domains Through Proteomic Peptide-Phage Display Using Custom Peptidomes
  16. Altmetric Badge
    Chapter 15 Synthetic Glycan Microarrays
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    Chapter 16 Screening Mammalian Cells on a Hydrogel: Functionalized Small Molecule Microarray
Attention for Chapter 11: Discovery of RNA Binding Small Molecules Using Small Molecule Microarrays
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Chapter title
Discovery of RNA Binding Small Molecules Using Small Molecule Microarrays
Chapter number 11
Book title
Small Molecule Microarrays
Published in
Methods in molecular biology, November 2016
DOI 10.1007/978-1-4939-6584-7_11
Pubmed ID
Book ISBNs
978-1-4939-6582-3, 978-1-4939-6584-7
Authors

Colleen M. Connelly, Fardokht A. Abulwerdi, John S. Schneekloth Jr., John S. SchneeklothJr., John S. Schneekloth

Editors

Mahesh Uttamchandani, Shao Q. Yao

Abstract

New methods to identify RNA-binding small molecules open yet unexplored opportunities for the pharmacological modulation of RNA-driven biology and disease states. One such approach is the use of small molecule microarrays (SMMs). Typically, SMMs are generated by spatially arraying and covalently linking a library of small molecules to a glass surface. Next, incubation of the arrays with a fluorescently labeled RNA reveals binding interactions that are detected upon slide imaging. The relative ease with which SMMs are manufactured enables the screening of multiple oligonucleotides in parallel against tens of thousands of small molecules, providing information about both binding and selectivity of identified RNA-small molecule interactions. This approach is useful for screening a broad variety of structurally and functionally diverse RNAs. Here, we present a general method for the preparation and use of SMMs to rapidly identify small molecules that selectively bind to an RNA of interest.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Unspecified 5 12%
Student > Ph. D. Student 5 12%
Professor 2 5%
Student > Master 2 5%
Other 2 5%
Unknown 16 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Chemistry 6 14%
Unspecified 5 12%
Agricultural and Biological Sciences 2 5%
Mathematics 1 2%
Other 2 5%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2017.
All research outputs
#14,264,932
of 22,947,506 outputs
Outputs from Methods in molecular biology
#4,162
of 13,138 outputs
Outputs of similar age
#223,512
of 415,683 outputs
Outputs of similar age from Methods in molecular biology
#354
of 1,037 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,138 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,037 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.