SHAPE

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SHAPE (Selective 2’ Hydroxyl Acylation Analyzed by Primer Extension)  is a method used by scientists to study the shape and structure of RNA molecules. [1]There are many different variations and versions of of SHAPE that can be done by a lab, this article is designed to give you an overview of the of the type of SHAPE chemical probing that is most commonly used by researchers who work with Eterna. This technique involves adding a chemical to the RNA molecule, which reacts with different parts of the RNA depending on their flexibility and accessibility.  There are several types of chemicals used in SHAPE, but the chemical that is most frequently used by labs who work with Eterna, is 1-methyl-7-nitroisatoic anhydride (1M7).[2]

1M7 interacts with the 2' hydroxyl (OH) groups on the unpaired bases of the RNA creating a modified nucleotide called a SHAPE adduct
Fig A: Schematic of 1M7 interacting with the 2' hydroxyl (OH) groups on the unpaired bases of the RNA creating a modified nucleotide called a SHAPE adduct. Image created with Biorender.com

1M7 specifically reacts with the 2’-OH groups of unpaired nucleotides[3]. The modified RNA, called a SHAPE adduct, is then reverse transcribed, producing complimentary DNA (cDNA).The more reactive a nucleotide is the more likely that that nucleotide is not participating in base pairing.[4]   By analyzing the patterns of this chemical reactivity, researchers can determine the three-dimensional shape of the RNA molecule.[5]

Fig B: During Mutational profiling(MaP), the SHAPE adducts in the RNA create mutations in the complimentary DNA (cDNA).  The cDNA then makes thousands of copies called double stranded DNA (dsDNA). Image created with Biorender.com
Fig B: During Mutational profiling(MaP), the SHAPE adducts in the RNA create mutations in the complimentary DNA (cDNA). Image created with Biorender.com

The data obtained from SHAPE chemical mapping experiments can be presented as a graph or chart showing the reactivity values of different parts of the RNA molecule. The higher the reactivity value, the less likely a nucleotide is to be involved in a stable base pair. [4]However, it is worth noting that nucleotides with high levels of reactivity may still participate in non-stable base pairing, or non-canonical base pairing.[6]

Fig C: A SHAPE profile is created of the reactive bases. From that profile, proposed structures are able to be modeled.
Fig C: A SHAPE profile is created of the reactive bases. From that profile, proposed structures are able to be modeled. More reactive bases are shown in yellow or red.


SHAPE chemical probing is one of the tools used by scientists, in addition to other structural and bioinformatic analysis methods. In SHAPE, "total counts" refer to the number of sequencing reads or data points obtained for each nucleotide position in an RNA sequence. When performing a SHAPE experiment, a large number of RNA molecules are typically analyzed and sequenced to generate the necessary data for accurate structure prediction.[7]

A "total count > 10,000" indicates that a particular nucleotide position in the RNA sequence has been sampled and sequenced at least 10,000 times. This is a measure of data quality and reliability, and a high total count is generally desirable to ensure statistical significance and minimize the impact of experimental noise or artifacts. Different experiments and molecules may have different thresholds, but a minimum standard threshold of "total count > 10,000" is typically used for SHAPE data analysis experiments.[8]

External links

  1. McGinnis, J. L.; Dunkle, J. A.; Cate, J. H. D.; Weeks, K. M. The Mechanisms of RNA SHAPE Chemistry. Journal of the American Chemical Society 2012, 134 (15), 6617–6624. https://doi.org/10.1021/ja2104075.
  2. Mortimer, S.; Weeks, K. M. A Fast-Acting Reagent for Accurate Analysis of RNA Secondary and Tertiary Structure by SHAPE Chemistry. Journal of the American Chemical Society 2007, 129 (14), 4144–4145. https://doi.org/10.1021/ja0704028.
  3. Busan, S.; Weidmann, C. A.; Sengupta, A.; Weeks, K. M. Guidelines for SHAPE Reagent Choice and Detection Strategy for RNA Structure Probing Studies. Biochemistry 2019, 58 (23), 2655–2664. https://doi.org/10.1021/acs.biochem.8b01218.
  4. 4.0 4.1 Watters, K. E.; Lucks, J. B. Mapping RNA Structure in Vitro with SHAPE Chemistry and Next-Generation Sequencing (SHAPE-Seq). Methods in molecular biology 2016, 135–162. https://doi.org/10.1007/978-1-4939-6433-8_9.
  5. Tian, S.; Cordero, P.; Kladwang, W.; Das, R. High-Throughput Mutate-Map-Rescue Evaluates SHAPE-Directed RNA Structure and Uncovers Excited States. RNA 2014, 20 (11), 1815–1826. https://doi.org/10.1261/rna.044321.114.
  6. Kladwang, W.; VanLang, C. C.; Cordero, P.; Das, R. Understanding the Errors of SHAPE-Directed RNA Structure Modeling. Biochemistry 2011, 50 (37), 8049–8056. https://doi.org/10.1021/bi200524n.
  7. Aviran, S.; Pachter, L. Rational Experiment Design for Sequencing-Based RNA Structure Mapping. RNA 2014, 20 (12), 1864–1877. https://doi.org/10.1261/rna.043844.113.
  8. Spitale, R. C.; Flynn, R. A.; Torre, E. A.; Kool, E. T.; Chang, H. Y. RNA Structural Analysis by Evolving SHAPE Chemistry. Wiley Interdisciplinary Reviews: RNA 2014, 5 (6), 867–881. https://doi.org/10.1002/wrna.1253.