Naoki Sugimoto - Chemistry and Biology of Non-canonical Nucleic Acids

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Discover the fundamentals and intricacies of a subject at the interface of chemistry and biology with this authoritative resource<br> <br> Chemistry and Biology of Non-canonical Nucleic Acids delivers a comprehensive treatment of the chemistry and biology of non-canonical nucleic acids, including their history, structures, stabilities, properties, and functions. You'll learn about the role of these vital compounds in transcription, translation, regulation, telomeres, helicases, cancers, neurodegenerative diseases, therapeutic applications, nanotechnology, and more.<br> <br> An ideal resource for graduate students, researchers in physical, organic, analytical, and inorganic chemistry will learn about uncommon nucleic acids, become the common non-canonical nucleic acids that fascinate and engage academics and professionals in private industry.<br> <br> Split into 15 chapters covering a wide range of aspects of non-canonical nucleic acids, the book explains why these compounds exist at the forefront of a new research revolution at the intersection of chemistry and biology. Chemistry and Biology of Non-canonical Nucleic Acids also covers a broad range of topics critical to understanding these versatile and omnipresent chemicals, including:<br> <br> * A discussion of the dynamic regulation of biosystems by nucleic acids with non-canonical structures<br> * The role played by nucleic acid structures in neurodegenerative diseases and various cancers<br> * An exploration of the future outlook for the chemistry and biology of non-canonical nucleic acids<br> * An introduction to the history of canonical and non-canonical structures of nucleic acids<br> * An analysis of the physicochemical properties of non-canonical nucleic acids<br> <br> Perfect for biochemists, materials scientists, and bioengineers, Chemistry and Biology of Non-canonical Nucleic Acids will also earn a place in the libraries of medicinal and pharmaceutical chemists who wish to improve their understanding of life processes and the role that non-canonical nucleic acids play in them.

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(3.9) where R is the ideal gas constant 1987 cal K 1mol 1or 8314 J K 1mol 1 - фото 45

where R is the ideal gas constant, 1.987 cal K −1mol −1or 8.314 J K −1mol −1. The slope of the van't Hoff plot gives the Δ H °, and the y -intercept gives the ratio of Δ H °to Δ S °. The free energy and equilibrium constant at any temperature can then be calculated using Gibb's relation:

(3.10) To increase the accuracy of these parameters data analysis can be performed by - фото 46

To increase the accuracy of these parameters, data analysis can be performed by curve fitting as shown below. When the ratio of the double-stranded DNA is represented by α , absorbance ( A ) at a temperature ( T ) is calculated as

(3.11) where ε dsand ε ssindicate the absorbance for the singlestranded and - фото 47

where ε dsand ε ssindicate the absorbance for the single-stranded and double-stranded DNA, respectively, and l and C trepresent the length of the light pass (or the path length of the cuvette used) and the total concentration of DNA strands, respectively. The ε ds, ε ss, and observed equilibrium constant ( K obs) for the duplex formation can be represented as follows with the assumption that absorbance is directly proportional to temperature:

(3.12) Chemistry and Biology of Noncanonical Nucleic Acids - изображение 48

(3.13) Chemistry and Biology of Noncanonical Nucleic Acids - изображение 49

(3.14) where R is the gas constant and m dsand b dsor m ssand b ssrepresent the slope - фото 50

where R is the gas constant and m dsand b dsor m ssand b ssrepresent the slope and intercept of the upper baseline or lower baseline for the melting curve of a duplex dissociation ( Figure 3.4b), respectively. The six variables ( ε ds, ε ss, b ds, b ss, Δ H °, and Δ S °) can be calculated by the curve fitting using Eqs. ( 3.11, 3.12, 3.13, 3.14). These calculations, which are performed using a PC equipped with the curve fitting software such as IGOR Pro, KaleidaGraph, or ORIGIN, derive the thermodynamic parameters from the shape of the melting curve.

Estimated errors in the thermodynamic values ( σ ΔH°, σ ΔS°, and картинка 51) derived from the curve fitting procedure are calculated from the standard deviations among data points of each melting curve at different C tvalues. Estimated errors in Δ H °(σ ΔH°) and Δ S °(σ ΔS°) obtained from the картинка 52versus ln( C t/ s ) plots are calculated from the linearity of the plots, and those for Δ are calculated using Eq 315 315 where R Δ - фото 53( are calculated using Eq 315 315 where R ΔHΔSis the correlation - фото 54) are calculated using Eq. (3.15):

(3.15) where R ΔHΔSis the correlation coefficient between Δ H and Δ S The final - фото 55

where R ΔH°,ΔS°is the correlation coefficient between Δ H °and Δ S °. The final thermodynamic parameters are the average values obtained from curve fitting and the картинка 56versus ln( C t/ s ) plots. The errors of σ ΔH°, σ ΔS°, and картинка 57are usually within several percent of each thermodynamic value.

3.4 Factors Influencing Stabilities of the Non-canonical Nucleic Acids

3.4.1 Factors Influencing Stability of Triplexes

It was shown that triplexes consist of two pyrimidine (Y) and one purine (R) strand (Y-R*Y, where dash and star indicate Watson–Crick and Hoogsteen base pairs, respectively) or of two purine and one pyrimidine strand (Y-R*R) (see Chapter 2) [6]. Figure 3.5shows a typical triplex structure. The building blocks of Y-R*Y triplexes are the canonical C-G*C and T-A*T triads shown in Figure 3.5a. To form such triads, the third strand must be located in the major groove of the duplex that is forming Hoogsteen hydrogen bonds with the purine strand of the duplex ( Figure 3.5a). The third strand also forms the stacking interaction with neighboring bases ( Figure 3.5b), although the stacking interactions are weak relative to that in the duplex. An important feature of the Y-R*Y triplexes is that formation of the C-G*C triad requires the protonation of the N3 of cytosine in the third strand. Thus, such triplexes are favorable under acidic conditions (see next paragraph). By contrast, the Y-R*R triplexes such as T-A*A and C-G*G usually do not require protonation. The mutual orientation of the chemically homologous strands in a triplex (i.e. two pyrimidine strands in the Y-R*Y triplex or the two purine strands in the Y-R*R triplex), which a priori can be either parallel or antiparallel, is of paramount importance. In general, the stability of triplexes consisting of alternating C-G*C and T-A*T triads is higher than that of triplexes built of C-G*G and T-A*A triads under the appropriate pH due to width of major groove of the duplex. The requirement for protonation of third-strand cytosines for triplex formation makes the thermal stabilities of triple helices that include C-G*C triples sensitive to pH. For isolated C residues, this pH sensitivity is linearly dependent on the fraction of cytosines in the third strand. From the pH dependence of T mand knowledge of the enthalpy of the transition, the number of protons released upon triplex disruption can be estimated. Generally, it was found that the number of released protons is smaller than the number of cytosines in putative C-G*C base triads. This observation could indicate partial protonation of the cytosines in the resultant single strands at low pH. Substitution of 5-methylcytosine for cytosine that is the most widely used base modification increases the stabilities of polymeric and oligomeric triplexes over a range of pH, thereby increasing the pH range in which stable triplexes are observed. As an example, an intramolecular triplex (iT)) in Figure 3.6ashows a typical melting behavior. The triplex structure exhibits typically two-melting transition at neutral or higher pH. The first and second melting transitions depend on dissociation of Hoogsteen base pairs in the third strand and Watson–Crick base pairs in the second strand, respectively. The stability of the Hoogsteen base pairs depends on the solution pH. Thus, the unfolding processes for the triplexes are different depending on the solution pH ( Figure 3.6b): the T mvalues for Hoogsteen base pairs are increased with decreasing solution pH, although T mvalues for Watson–Crick base pairs are not significantly affected by the pH of the solution.

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