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The regulation of miR-139-5p on the biological characteristics of breast cancer cells by targeting COL11A1

  • ObjectiveThis study aimed to explore the regulatory mechanism of miR-139-5p on the biological characteristics of breast cancer cells by targeting Collagen type XI alpha 1 chain (COL11A1).
    MethodGEO2R was used to identify the differentially expressed genes (DEGs) of breast cancer in GEO database. miRDB, miRanda and TargetScan databases were used to predict the miRNAs that regulate COL11A1. qRT-PCR was used to detect the expressions of COL11A1 and miR-139-5p in breast cancer cells, and western blot was used to detect the protein level of COL11A1. RNA binding protein immunoprecipitation assay was employed to test the targeted relationship between miR-139-5p and COL11A1, which was further verified by dual-luciferase reporter gene assay. CCK-8 assay was performed to detect the cell proliferation, and flow cytometry was carried out to examine the cell apoptosis. Moreover, western blot was used for the detection of caspase-3, Bax and Bcl-2 protein levels.
    ResultsA total of five DEGs were screened from the GEO database, of which COL11A1 was the only highly expressed in breast cancer. According to the database analysis, we predicted that miR-139-5p was much likely to target the expression of COL11A1. MiR-139-5p was poorly expressed in breast cancer cells and targeted inhibited COL11A1. Silencing COL11A1 or overexpressing miR-139-5p both could inhibit the proliferation and promote the apoptosis, while overexpressing the two factors simultaneously could reverse such effect.
    ConclusionOverexpression of miR-139-5p inhibits the proliferation and promotes the apoptosis of breast cancer cells by inhibiting the expression of COL11A1.

    Citation: Shequn Gu, Jihui Luo, Wenxiu Yao. The regulation of miR-139-5p on the biological characteristics of breast cancer cells by targeting COL11A1[J]. Mathematical Biosciences and Engineering, 2020, 17(2): 1428-1441. doi: 10.3934/mbe.2020073

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  • ObjectiveThis study aimed to explore the regulatory mechanism of miR-139-5p on the biological characteristics of breast cancer cells by targeting Collagen type XI alpha 1 chain (COL11A1).
    MethodGEO2R was used to identify the differentially expressed genes (DEGs) of breast cancer in GEO database. miRDB, miRanda and TargetScan databases were used to predict the miRNAs that regulate COL11A1. qRT-PCR was used to detect the expressions of COL11A1 and miR-139-5p in breast cancer cells, and western blot was used to detect the protein level of COL11A1. RNA binding protein immunoprecipitation assay was employed to test the targeted relationship between miR-139-5p and COL11A1, which was further verified by dual-luciferase reporter gene assay. CCK-8 assay was performed to detect the cell proliferation, and flow cytometry was carried out to examine the cell apoptosis. Moreover, western blot was used for the detection of caspase-3, Bax and Bcl-2 protein levels.
    ResultsA total of five DEGs were screened from the GEO database, of which COL11A1 was the only highly expressed in breast cancer. According to the database analysis, we predicted that miR-139-5p was much likely to target the expression of COL11A1. MiR-139-5p was poorly expressed in breast cancer cells and targeted inhibited COL11A1. Silencing COL11A1 or overexpressing miR-139-5p both could inhibit the proliferation and promote the apoptosis, while overexpressing the two factors simultaneously could reverse such effect.
    ConclusionOverexpression of miR-139-5p inhibits the proliferation and promotes the apoptosis of breast cancer cells by inhibiting the expression of COL11A1.


    In recent years, nonlinear partial differential equations (NPDEs) are widely used to describe complex phenomena in various fields of sciences, such as fluid mechanics, plasma, chemical reactions, optical fibers, solid state physics, relativity, ecology, gas dynamics physics and optical fiber, [1,2,3,4,5,6,7,8,9,10,11]. Therefore, exploring exact solutions for NPDEs plays an important role in nonlinear science. These solutions might be essential and important for the exploring some physical phenomena. Therefore investigating new technique to solve so many problems is so interesting topic. Thus, many new methods have been introduced, such as the F-expansion method [12,13], (GG) expansion method [14,15], tanh-sech method [16,17,18], exp-expansion method [19,20], the homogeneous balance method [21,22], Jacobi elliptic function method [23,24], sine-cosine method [25,26,27], extended tanh-method [28,29] and the Riccati-Bernoulli sub-ODE method [30,31,32,33] proposed for solving more complicated problems. Indeed, there are recent development in analytical methods for investigation solutions for NPDEs, see [34,35,36,37,38,39,40].

    The nonlinear Schrödinger equations (NLSEs) are so important models in nonlinear evolution equations, which come in many areas of applied sciences such as nonlinear optics, quantum mechanics, fluid dynamics, molecular biology, elastic media, hydrodynamics, biology and plasma physics.

    This paper is concerned with the unstable nonlinear Schrödinger equation (UNS) [41,42] given by

    iqt+qxx+2ηq2q2γq=0,i=1, (1.1)

    where, η,γ is a free parameter and q=q(x,t) is a complex-valued function. Equation (1.1) is a type of nonlinear Schrödinger equation with space and time exchanged. This equation prescribes a time evolution of disturbances in unstable media. The behavior of type occurs for the two-layer baroclinic instability and the lossless symmetric two-stream plasma instability [43]. To the best of our knowledge, no previous research work has been done using the proposed methods for solving the unstable nonlinear Schrödinger equation. Actually, many numerical and analytical methods have been also implemented to get solutions for Eq (1.1) such as modified Kudraysov method, the sine-Gordon expansion approach [41], expa method and hyperbolic function method [42], the new Jacobi elliptic function rational expansion method and the exponential rational function method [44], the extended simple equation method[45].

    The main aim of this paper is to explore the UNS equation using exp(φ(ξ))-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method. We also show that the Riccati-Bernoulli sub-ODE technique gives infinite solutions. Actually, we introduce new types of exact analytical solutions. Comparing our results with other results, one can see that our results are new and most extensive. Indeed the new solutions presented in this article are so important in the theory of soliton. Moreover these solutions turn out to be very useful for Physicists to explain many interesting physical phenomena.

    The rest of the paper is arranged as follows: In Section 2, the exp-function method, sine-cosine method and Riccati-Bernoulli sub-ODE method are briefly reviewed. In Section 3, some new exact solutions of the unstable Schrödinger equation are presented. Discussion of our results and comparing with the results of other authors is in Section 4. Conclusion and future works will appear in Section 5.

    We present a brief description about the exp(φ(ξ))-expansion method, sine-cosine method and Riccati-Bernoulli sub-ODE method to obtain new exact solutions for a given NPDE. For this goal, consider a NPDE in two independent variables x and t as

    G(ϑ,ϑt,ϑx,ϑtt,ϑxx,....)=0, (2.1)

    where G is a polynomial in ϑ(x,t) and its partial derivatives. The main steps are as follows [30]:

    Step 1. Introducing the transformation

    ϑ(x,t)=ϑ(ξ),ξ=k(x+ςt), (2.2)

    varies Eq (2.1) to the following ordinary differential equation (ODE):

    D(ϑ,ϑ,ϑ,ϑ,.....)=0, (2.3)

    where D is a polynomial in ϑ(ξ) and its derivatives such that the superscripts denote the ordinary derivatives with respect to ξ.

    According to the exp(φ(ξ))-expansion technique [19,20,31], we assume that the solution of Eq (2.3) can be written in a polynomial form of exp(φ(ξ)) as follows

    ϑ(ξ)=Am(exp(φ(ξ)))m+.....,  am0, (2.4)

    where φ(ξ) obeys the following ODE

    φ(ξ)=exp(φ(ξ))+νexp(φ(ξ))+λ. (2.5)

    Eq (2.5) has the following solutions:

    1. At λ24ν>0,ν0,

    φ(ξ)=ln(λ24ν tanh(λ24ν2(ξ+C))λ2ν), (2.6)

    2. At λ24ν<0,ν0,

    φ(ξ)=ln(4νλ2 tan(4νλ22 (ξ+C))λ2ν), (2.7)

    3. At λ24ν>0,ν=0,λ0

    φ(ξ)=ln(λexp(λ(ξ+C))1), (2.8)

    4. At λ24ν=0,ν0,λ0,

    φ(ξ)=ln(2(λ(ξ+C)+2)λ2(ξ+C)), (2.9)

    5. At λ24ν=0,ν=0,λ=0,

    φ(ξ)=ln(ξ+C). (2.10)

    Here C is an arbitrary constant.

    Finally, superseding Eq (2.4) with Eq (2.5) into Eq (2.3) and agammaegating all terms of the same power exp(mφ(ξ)), m=0,1,2,3,.... After that equating them to zero, we get algebraic equations solved by Mathematica or Maple to obtain the values of ai. Hence, we get the solutions (2.4), which give the exact solutions of Eq (2.3).

    The solutions of Eq (2.3) can be expressed in the form [46,47]

    ϑ(x,t)={αsinr(βξ),ξπβ,0,otherwise,, (2.11)

    or in the form

    ϑ(ξ)(x,t)={αcosr(βξ),ξπ2μ,0,otherwise,, (2.12)

    where α,β and r0, are parameters determined in sequel. From (2.11) we have

    ϑ(ξ)=αsinr(βξ),ϑn(ξ)=αnsinnr(βξ),(ϑn)ξ=nβrαncos(βξ)sinnr1(βξ),(ϑn)ξξ=n2β2rαnsinnr(βξ)+nβ2αnr(nr1)sinnr2(βξ), (2.13)

    and from (2.12) we have

    ϑ(ξ)=αcosr(βξ),ϑn(ξ)=αncosnr(βξ),(ϑn)ξ=nβrαnsin(βξ)cosnr1(βξ),(ϑn)ξξ=n2β2rαncosnr(βξ)+nβ2αnr(nr1)cosnr2(βξ). (2.14)

    Finally, superseding Eq (2.13) or Eq (2.14) into Eq (2.3), then balance the terms of the cosine functions (2.14) or the sine functions (2.13). Then, we sum all terms with the same power in cosr(βξ) or sinr(βξ) and equating their coefficients to zero in order to obtain an algebraic equations in the unknowns β,α and r. Solving this system yields these unknown constants.

    According to description of this method [30,31,32,33,48,49], we assume that Eq (2.3) has the following solution:

    ϑ=aϑ2n+bϑ+cϑn, (2.15)

    where a,b,c and n are constants calculated later. From Eq (2.15), we get

    ϑ=ab(3n)ϑ2n+a2(2n)ϑ32n+nc2ϑ2n1+bc(n+1)ϑn+(2ac+b2)ϑ, (2.16)
    ϑ=(ab(3n)(2n)ϑ1n+a2(2n)(32n)ϑ22n +n(2n1)c2ϑ2n2+bcn(n+1)ϑn1+(2ac+b2))ϑ. (2.17)

    The exact solutions of Eq (2.15), for an arbitrary constant μ are given as follow:

    1. For n=1, the solution is

    ϑ(ξ)=μe(a+b+c)ξ. (2.18)

    2. For n1, b=0 and c=0, the solution is

    ϑ(ξ)=(a(n1)(ξ+μ))1n1. (2.19)

    3. For n1, b0 and c=0, the solution is

    ϑ(ξ)=(ab+μeb(n1)ξ)1n1. (2.20)

    4. For n1, a0 and b24ac<0, the solution is

    ϑ(ξ)=(b2a+4acb22atan((1n)4acb22(ξ+μ)))11n (2.21)

    and

    ϑ(ξ)=(b2a4acb22acot((1n)4acb22(ξ+μ)))11n. (2.22)

    5. For n1, a0 and b24ac>0, the solution is

    ϑ(ξ)=(b2ab24ac2acoth((1n)b24ac2(ξ+μ)))11n (2.23)

    and

    ϑ(ξ)=(b2ab24ac2atanh((1n)b24ac2(ξ+μ)))11n. (2.24)

    6. For n1, a0 and b24ac=0, the solution is

    ϑ(ξ)=(1a(n1)(ξ+μ)b2a)11n. (2.25)

    Bäcklund transformation

    When ϑm1(ξ) and ϑm(ξ)(ϑm(ξ)=ϑm(ϑm1(ξ))) are the solutions of Eq (2.15), we obtain

    dϑm(ξ)dξ=dϑm(ξ)dϑm1(ξ)dϑm1(ξ)dξ=dϑm(ξ)dϑm1(ξ)(aϑ2nm1+bϑm1+cϑnm1),

    namely

    dϑm(ξ)aϑ2nm+bϑm+cϑnm=dϑm1(ξ)aϑ2nm1+bϑm1+cϑnm1. (2.26)

    Integrating Eq (2.26) once with respect to ξ, we obtain the following Bäcklund transformation of Eq (2.15):

    ϑm(ξ)=(cK1+aK2(ϑm1(ξ))1nbK1+aK2+aK1(ϑm1(ξ))1n)11n, (2.27)

    where K1 and K2 are arbitrary constants. If we get a solution for this equation, we use Eq (2.27) to obtain infinite sequence of solutions of Eq (2.15), as well of Eq (2.1).

    In order to solve the Eq (1.1), using exp(φ(ξ))-expansion method and the Riccati-Bernoulli sub-ODE method, the following solution structure is selected

    q(x,t)=eiχ(x,t)u(ξ),χ(x,t)=px+νt,ξ=kx+ωt, (3.1)

    where p, ν, k and ω are constants. Substituting (3.1) into (1.1), we have the ODE

    k2u2u3(p2+ν+2γ)u=0,ω=2pk,η=1. (3.2)

    Now we apply exp(φ(ξ))-expansion and the Riccati-Bernoulli sub-ODE methods for Eq (3.2).

    According to the exp(φ(ξ))-expansion technique, Eq (3.2) has the following solution

    u=A0+A1exp(φ), (3.3)

    where A0 and A1 are constants and A10. It is easy to see that

    u=A1(2exp(3φ)+3λexp(2φ)+(2μ+λ2)exp(φ)+λμ), (3.4)
    u3=A31exp(3φ)+3A0A21exp(2φ)+3A20A1exp(φ)+A30. (3.5)

    Superseding u, u, u3 into Eq (3.2) and hence equating the coefficients of exp(φ) to zero, we obtain

    k2A1λμ2A30(p2+ν+2γ)A0=0, (3.6)
    k2A1(λ2+2μ)6A20A1(p2+ν+2γ)A1=0, (3.7)
    k2A1λ2A0A21=0, (3.8)
    k2A1A31=0. (3.9)

    Solving Eqs (3.6)–(3.9), we get

    A0=±kλ2,A1=±k,ν=12(4γ+k2(λ24μ)+2p2).

    We consider only one case, whenever the other cases follow similarly. In this case, the solution of Eq (3.3) reads as:

    u(ξ)=±k2(λ+2exp(φ(ξ))). (3.10)

    Superseding Eqs (2.6)–(2.7) into Eq (3.10), we obtain:

    Case 1. At λ24μ>0,μ0,

    u1,2(x,t)=±k2(λ4μλ24μtanh(λ24μ2(ξ+C))+λ). (3.11)

    Using Eqs (3.1) and (3.11) the solutions of equation (1.1) are

    q1,2(x,t)=±k2eiχ(λ4μλ24μtanh(λ24μ2(ξ+C))+λ). (3.12)

    Case 2. At λ24μ<0,μ0,

    u3,4(x,t)=±k2(λ+4μ4μλ2tan(4μλ22(ξ+C))λ). (3.13)

    Using Eqs (3.1) and (3.13) the solutions of Eq (1.1) are

    q3,4(x,t)=±k2eiχ(λ+4μ4μλ2tan(4μλ22(ξ+C))λ). (3.14)

    Case 3. At λ24μ>0,μ=0,λ0

    u5,6(x,t)=±k2(λ+2λexp(λ(ξ+C))1). (3.15)

    Using Eqs (3.1) and (3.15) the solutions of Eq (1.1) are

    q5,6(x,t)=±k2eiχ(λ+2λexp(λ(ξ+C))1). (3.16)

    Case 4. At λ24μ=0,μ0,λ0,

    u7,8(x,t)=±k2(λλ2(ξ+C)λ(ξ+C)+2). (3.17)

    Using Eq (3.1) and (3.17) the solutions of Eq (1.1) are

    q7,8(x,t)=±k2eiχ(λλ2(ξ+C)λ(ξ+C)+2). (3.18)

    Case 5. At λ24μ=0,μ=0,λ=0,

    u9,10(x,t)=±k2(1ξt+C). (3.19)

    Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are

    q9,10(x,t)=±k2eiχ(1ξt+C). (3.20)

    Here k,λ,μ,C are constants, ξ=k(x2pt) and χ=px12(4γ+k2(λ24μ)+2p2)t.

    We have plotted these solutions in Figures 15. Figure 1(a) shows the real part of q=q1(x,t) in (3.12), while Figure 1(b) shows imaginary part of this solution for k = 1.5, p = 1.5, γ = 1.3, λ = 2.3, μ=1, ω = -4.5, ν = -6.3012 and C = 1.4.

    Figure 1.  Shape of q1 in (3.12), (a) real part and (b) imaginary part.
    Figure 2.  Shape of q3 in (3.14), (a) real part and (b) imaginary part.
    Figure 3.  Shape of q5 in (3.16), (a) real part and (b) imaginary part.
    Figure 4.  Shape of q5 in (3.16), (a) real part and (b) imaginary part.
    Figure 5.  Shape of q9 in (3.20), (a) real part and (b) imaginary part.

    Figure 2(a) shows the real part of q=q3(x,t) in (3.14), while Figure 2(b) shows imaginary part of this solution for k = 1.2, p = 1.2, γ = 1.8, λ = 1.2, μ=2, ω = -2.88, ν = -0.3168 and C = 0.4.

    Figure 3(a) shows the real part of q=q5(x,t) in (3.16), while Figure 3(b) shows imaginary part of this solution for k = 0.4, p = 0.6, γ = 0.3, λ = 1.2, μ=0, ω = -0.48, ν = -1.0752 and C = 1.

    Figure 4(a) shows the real part of q=q7(x,t) in (3.18), while Figure 4(b) shows imaginary part of this solution for k = 0.5, p = 0.5, γ = 2.3, λ = 2, μ=1, ω = -0.5, ν = -4.85 and C = 4.

    Figure 5(a) shows the real part of q=q9(x,t) in (3.20), while Figure 5(b) shows imaginary part of this solution k = -0.7, p = -0.5, γ = 0.8, λ=μ = 0, ω = -0.7, ν = -1.85 and C = 4.

    According to sine-cosine technique, subtitling Eq (2.13) into Eq (3.2), gives

    k2(β2r2αsinr(βξ)+β2αr(r1)sinr2(βξ))2α3sin3r(βξ)(p2+ν+2γ)λsinr(βξ)=0. (3.21)

    Thus by comparing the coefficients of the sine functions, we get

    r10,r2=3r, k2β2αr(r1)2α3=0, k2β2r2α(p2+ν+2γ)α=0. (3.22)

    Solving this system gives

    r=1,α=±p2ν2γ,β=±(p2+ν+2γ)k, (3.23)

    for p2+ν+2γ<0 and k0. We get the same result if we also use the cosine method (2.14). Thus, the periodic solutions are

    ˜u1,2(x,t)=±p2ν2γsec((p2+ν+2γ)k(kx+ωt)),(p2+ν+2γ)k(kx+ωt)∣<π2 (3.24)

    and

    ˜u3,4(x,t)=±p2ν2γcsc((p2+ν+2γ)k(kx+ωt)),0<(p2+ν+2γ)k(kx+ωt)<π. (3.25)

    Using Eqs (3.1) and (3.19) the solutions of Eq (1.1) are

    ˜q1,2(x,t)=±(p2+ν+2γ)ei(px+νt)sec((p2+ν+2γ)k(kx+ωt)),(p2+ν+2γ)k(kx+ωt)∣<π2 (3.26)

    and

    ˜q3,4(x,t)=±p2ν2γei(px+νt)csc((p2+ν+2γ)k(kx+ωt)),0<(p2+ν+2γ)k(kx+ωt)<π. (3.27)

    However, for p2+ν+2γ>0 and k0. we obtain the soliton and complex solutions

    ˜u5,6(x,t)=±p2ν2γsech((p2+ν+2γ)k(kx+ωt)) (3.28)

    and

    ˜u7,8(x,t)=±p2+ν+2γcsch((p2+ν+2γ)k(kx+ωt)). (3.29)

    Using Eqs (3.1) and (3.19) the solutions of equation

    ˜q5,6(x,t)=±p2ν2γei(px+νt)sech((p2+ν+2γ)k(kx+ωt)) (3.30)

    and

    ˜q7,8(x,t)=±p2+ν+2γei(px+νt)csch((p2+ν+2γ)k(kx+ωt)). (3.31)

    Figure 6(a) shows the real part of q=˜q1(x,t) in (3.26), while Figure 6(b) shows imaginary part of this solution for p = 2, ν = -2, γ = -3, k = 2 and ω = 1.

    Figure 6.  Shape of ˜q1 in (3.26), (a) real part and (b) imaginary part.

    Figure 7(a) shows the real part of q=˜q5(x,t) in (3.30), while Figure 7(b) shows imaginary part of this solution for p = 2.6, ν = 2.1, γ = 3.1, k = 1.2 and ω = 2.

    Figure 7.  Shape of ˜q5 in (3.27), (a) real part and (b) imaginary part.

    According to Riccati-Bernoulli Sub-ODE technique, substituting Eq (2.16) into Eq (3.2), we get

    k2(ab(3n)u2n+a2(2n)u32n+nc2u2n1+bc(n+1)un+(2ac+b2)u)2u3(p2+ν+2γ)u=0. (3.32)

    Putting n=0, Eq (3.32) becomes

    k2(3abu2+2a2u3+bc+(2ac+b2)u)2u3(p2+ν+2γ)u=0. (3.33)

    Putting each coefficient of ui(i=0,1,2,3) to zero, we get

    bc=0, (3.34)
    k2(2ac+b2)(p2+ν+2γ)=0, (3.35)
    3ab=0, (3.36)
    k2a21=0. (3.37)

    Solving Eqs (3.34)–(3.37), we have

    b=0, (3.38)
    ac=p2+ν+2γ2k2, (3.39)
    c=±p2+ν+2γ2k, (3.40)
    a=±1k. (3.41)

    Hence, we give the cases of solutions for Eq (3.2) as follows

    Rational function solutions: (When b=0 and c=0, i.e., p2+ν+2γ=0)

    The solution of Eq (3.2) is

    ˆu1(x,t)=(a(kx+ωt+μ))1. (3.42)

    Therefore, using Eqs (3.1) and (3.42), the following new explicit exact solution of the unstable nonlinear Schrödinger equation can be acquired

    ˆq1(x,t)=ei(px+νt)(a(kx+ωt+μ))1, (3.43)

    where p,ν,γ,k,ω,μ are arbitrary constants.

    Trigonometric function solution: (When p2+ν+2γ>0)

    Superseding Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.21) and (2.22), then the exact solutions of Eq (1.1) are

    ˆu2,3(x,t)=±p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)) (3.44)

    and

    ˆu4,5(x,t)=±p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)). (3.45)

    Consequently, using Eqs (3.1) and (3.42), the following new explicit exact solution for the unstable nonlinear Schrödinger equation can be obtained

    ˆq2,3(x,t)=±ei(px+νt)p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)) (3.46)

    and

    ˆq4,5(x,t)=±ei(px+νt)p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)), (3.47)

    where p,ν,γ,k,ω,μ are arbitrary constants.

    Hyperbolic function solution : (When p2+ν+2γ<0)

    Substituting Eq (3.1) and Eqs (3.38)–(3.41) into Eqs (2.23) and (2.24), then the exact solutions of Eq (1.1) are

    ˆu6,7(x,t)=±(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)) (3.48)

    and

    ˆu8,9(x,t)=±(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)). (3.49)

    Subsequently, the following new explicit exact solution to the unstable nonlinear Schrödinger equation can be gained

    ˆq6,7(x,t)=±ei(px+νt)(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)) (3.50)

    and

    ˆq8,9(x,t)=±ei(px+νt)(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)), (3.51)

    where p,ν,γ,k,ω,μ are arbitrary constants.

    We have plotted these solutions in Figures 810. Figure 8(a) shows the real part of q=ˆq2(x,t) in (3.46), while Figure 8(b) shows imaginary part of this solution for k = 0.5, p = -1.3, ω = 1.3, ν = 1.4, γ = 1.5 and μ = 1.

    Figure 8.  Shape of ˆq2 in (3.46), (a) real part and (b) imaginary part.
    Figure 9.  Shape of ˆq6 in (3.50), (a) real part and (b) imaginary part.
    Figure 10.  Shape of ˆq1 in (3.43), (a) real part and (b) imaginary part.

    Figure 9(a) shows the real part of q=ˆq6(x,t) in (3.50), while Figure 9(b) shows imaginary part of this solution for k = 1.5, p = 1.3, ω = -3.9, ν = -2.4, γ = -1.3 and μ = 1.

    Figure 10(a) shows the real part of q=ˆq1(x,t) in (3.43), while Figure 10(b) shows imaginary part of this solution for k = 0.2, a = 5, p = 1.2, ω = -0.48, ν = 1.4 and μ = 1.

    Remark 1. Using Eq (2.27) for ui(x,y), i = 1, ..., 9, once, then Eq (3.2) as well as for Eq (1.1) has an infinite solutions. In sequence, by applying this process again, we get new families of solutions.

    ˆu1(x,t)=B3aB3(kx+ωt+μ)±1, (3.52)
    ˆu2,3(x,t)=p2+ν+2γ2±B3p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ))B3±p2+ν+2γ2tan(p2+ν+2γ2k(kx+ωt+μ)), (3.53)
    ˆu4,5(x,t)=p2+ν+2γ2±B3p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ))B3±p2+ν+2γ2cot(p2+ν+2γ2k(kx+ωt+μ)), (3.54)
    ˆu6,7(x,t)=p2+ν+2γ2±B3(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ))B3±(p2+ν+2γ)2tanh((p2+ν+2γ)2k(kx+ωt+μ)), (3.55)
    ˆu8,9(x,t)=p2+ν+2γ2±B3(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ))B3±(p2+ν+2γ)2coth((p2+ν+2γ)2k(kx+ωt+μ)), (3.56)

    where B3,p,ν,γ,k,ω and μ are arbitrary constants.

    In this article, the exp(φ(ξ))-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE techniques have been efficiently applied to construct many new solutions. As an outcome, a number of new exact solutions for the UNS equation were formally derived. Namely, the exp(φ(ξ))-expansion method gives a first family of ten solutions. Whereas, sine-cosine method give another different second family of eight solutions. Indeed, Riccati-Bernoulli sub-ODE method gives a wide range of new explicit exact solutions including rational functions, trigonometric functions, hyperbolic functions and exponential functions in a straightforward manner. The effectiveness and helpfulness of the exp(φ(ξ))-expansion, the sine-cosine and Riccati-Bernoulli sub-ODE methods to deal with UNS equation was proved. As a success, a wide range of new explicit exact solutions were obtained in a straightforward manner. Our study shows that the proposed three methods are reliable in handling NPDEs to establish a variety of exact solutions. Finally, we have plotted some 3D graphs of these solutions and we have shown that these graphs can be controlled by adjusting the parameters.

    Remark 2.

    1. Comparing our results concerning the UNS equation with the results in [41,42,44,45], one can see that our results are new and most extensive. Indeed, choosing suitable values for the parameters similar solutions can be verified.

    2. The Riccati-Bernoulli sub-ODE method has an interesting feature, that admits infinite solutions, which has never given for any other method.

    3. The three proposed methods in this article are efficient, powerful and adequate for solving other types of NPDEs and can be easily extended to solve nonlinear fractional differential equations, see [32,33,49,50,51,52,53,54,55,56].

    The exp(φ(ξ))-expansion, sine-cosine and Riccati-Bernoulli sub-ODE techniques have successfully been applied for the UNS equation. Many new exact solutions are obtained during the analytical treatment. The availability of computer systems like Matlab or Mathematica facilitates avoids us the tedious algebraic calculations. Indeed, the obtained solutions are of significant importance in the studies of applied science as they help in explaining some interesting physical mechanism for the complex phenomena. The 3D graphs of some exact solutions are plotted for suitable parameters. Finally, the proposed methods can be applied for a wide range of nonlinear partial differential equations arising in natural sciences. Currently, work is in progress on the applications of the proposed methods in this paper in order to solve the other nonlinear partial differential equations. Indeed these methods can be extended to solve fractional partial differential equations.

    The authors thank the editor and anonymous reviewers for their valuable comments and suggestions.

    The authors declare no conflict of interest.



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