Thermodynamics of RNA/DNA hybridization in high density oligonucleotide microarrays
Enrico Carlon, Thomas Heim
Abstract
We analyze a series of publicly available controlled experiments (Latin square) on Affymetrix high density oligonucleotide microarrays using a simple physical model of the hybridization process. We plot for each gene the signal intensity versus the hybridization free energy of RNA/DNA duplexes in solution, for perfect matching and mismatching probes. Both values tend to align on a single master curve in good agreement with Langmuir adsorption theory, provided one takes into account the decrease of the effective target concentration due to target-target hybridization in solution. We give an example of a deviation from the expected thermodynamical behavior for the probe set 1091\at due to annotation problems, i.e. the surface-bound probe is not the exact complement of the target RNA sequence, because of errors present in public databases at the time when the array was designed. We show that the parametrization of the experimental data with RNA/DNA free energy improves the quality of the fits and enhances the stability of the fitting parameters compared to previous studies.
Create a lesson
Related papers
A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM
Alkin Kaz, Arda Kaz, Ellen D. Zhong
PHASE: encoding global protein ensembles with local Hamiltonians and all-atom backmapping
Daniele Angioletti, Marco Nobile, Matteo Carli et al.
Analysis of correlations of dwell-times of adjacent kinetic states in the activity of the cold and menthol receptor TRPM8
Ogloblya O. V., Moroz O. F., Zholos A.
Multitask Bayesian Neural Networks for Multiparameter Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Desiree Wyrzykala et al.
Recovering protein conformations from single-particle cryo-EM data via indirect shape matching gradient flows
Erik Jansson, Jonathan Krook, Ozan Öktem et al.
Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation
Tongyue Xu, Yijie Zhang, Mutian He et al.