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Genome analysis: RNA recognition motif (RRM) and K homology (KH) domain RNA-binding proteins from the flowering plant Arabidopsis thaliana.

ABSTRACT: Regulation of gene expression at the post-transcriptional level is mainly achieved by proteins containing well-defined sequence motifs involved in RNA binding. The most widely spread motifs are the RNA recognition motif (RRM) and the K homology (KH) domain. In this article, we survey the complete Arabidopsis thaliana genome for proteins containing RRM and KH RNA-binding domains. The Arabidopsis genome encodes 196 RRM-containing proteins, a more complex set than found in Caenorhabditis elegans and Drosophila melanogaster. In addition, the Arabidopsis genome contains 26 KH domain proteins. Most of the Arabidopsis RRM-containing proteins can be classified into structural and/or functional groups, based on similarity with either known metazoan or Arabidopsis proteins. Approximately 50% of Arabidopsis RRM-containing proteins do not have obvious homologues in metazoa, and for most of those that are predicted to be orthologues of metazoan proteins, no experimental data exist to confirm this. Additionally, the function of most Arabidopsis RRM proteins and of all KH proteins is unknown. Based on the data presented here, it is evident that among all eukaryotes, only those RNA-binding proteins that are involved in the most essential processes of post-transcriptional gene regulation are preserved in structure and, most probably, in function. However, the higher complexity of RNA-binding proteins in Arabidopsis, as evident in groups of SR splicing factors and poly(A)-binding proteins, may account for the observed differences in mRNA maturation between plants and metazoa. This survey provides a first systematic analysis of plant RNA-binding proteins, which may serve as a basis for functional characterisation of this important protein group in plants.

SUBMITTER: Lorkovic ZJ

PROVIDER: S-EPMC100298 | biostudies-literature | 2002 Feb

REPOSITORIES: biostudies-literature

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Genome analysis: RNA recognition motif (RRM) and K homology (KH) domain RNA-binding proteins from the flowering plant Arabidopsis thaliana.

Lorković Zdravko J ZJ Barta Andrea A

Nucleic acids research 20020201 3

Regulation of gene expression at the post-transcriptional level is mainly achieved by proteins containing well-defined sequence motifs involved in RNA binding. The most widely spread motifs are the RNA recognition motif (RRM) and the K homology (KH) domain. In this article, we survey the complete Arabidopsis thaliana genome for proteins containing RRM and KH RNA-binding domains. The Arabidopsis genome encodes 196 RRM-containing proteins, a more complex set than found in Caenorhabditis elegans an ...[more]

PMID: 11809873

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Project description:Systemic lupus erythematosus (SLE) is characterized by the production of grouped sets of autoantibodies targeting mainly the U1 ribonucleoprotein (RNP) and/or Ro/La RNP particles. Intraparticle diversification of the autoimmune response is believed to occur via epitope spreading. So far, it is not known how the autoimmune response "jumps" from one particle to another. To the extent that the majority of nuclear autoantigens in SLE are RNA binding proteins and major epitopes were previously mapped within their RRM (RNA recognition motifs), conserved sequences within RRM could be involved in the intermolecular and inter-particle diversification process of the autoimmune response. We investigated the potential of RRM of the La/SSB autoantigen to induce antibodies that cross-recognize components of the U1-RNP particle and therefore its capacity to produce interparticle epitope spreading. We immunized New Zealand white rabbits with a peptide corresponding to the epitope 145-164 of La/SSB (belonging to the RRM of La/SSB), attached in four copies on a scaffold carrier. Sera were drawn from 20 sera of patients with SLE and anti-U1-RNP antibodies and 26 sera of primary Sjögren syndrome patients with anti-La/SSB antibodies. All sera were evaluated for reactivity against the major epitope of La/SSB (pep349-364), the RNP antigen and the RRM-related epitope of La/SSB (pep145-164). Specific antibodies against pep145-164 were purified with immunoaffinity columns from selected sera. After the immunization of the animals with pep145-164, a specific IgG antibody response was detected, directed against the La/SSB autoantigen (wks 3-7), the immunizing peptide (wks 3-27), and the RNP autoantigen (wks 7-20). This response gradually decreased to low levels between postimmunization wks 27-42. Purified antibodies against pep145-164 recognized La/SSB and a 70-kD autoantigen in Western blot and exhibited significant reactivity in anti-U1-RNP ELISA. Depletion of anti-pep145-164 antibodies eliminated anti-U1-RNP reactivity from immunized rabbit sera but not from human sera. In addition, pep145-164 was recognized to a greater extent by autoimmune sera with anti-RNP reactivity compared with anti-La/SSB-positive sera, in contrast to pep349-364 of La/SSB, which was recognized almost exclusively by sera with anti-La/SSB reactivity. These data suggest that the RRM region of La/SSB can trigger interparticle B-cell diversification to U1-RNP-70 autoantigen via molecular mimicry. Identification of key sequences that trigger and perpetuate the autoimmune process is particularly important for understanding pathogenetic mechanisms in autoimmunity.

Project description:Experimental studies of the flowering of Arabidopsis thaliana have shown that a large complex gene regulatory network (GRN) is responsible for its regulation. This process has been mathematically modelled with deterministic differential equations by considering the interactions between gene activators and inhibitors (Valentim et al. in PLoS ONE 10(2):e0116973, 2015; van Mourik et al. in BMC Syst Biol 4(1):1, 2010). However, due to complexity of the model, the properties of the network and the roles of the individual genes cannot be deducted from the numerical solution the published work offers. Here, we propose simplifications of the model, based on decoupling of the original GRN to motifs, described with three and two differential equations. A stable solution of the original model is sought by linearisation of the original model which contributes to further investigation of the role of the individual genes to the flowering. Furthermore, we study the role of noise by introducing and investigating two types of stochastic elements into the model. The deterministic and stochastic nonlinear dynamic models of Arabidopsis flowering time are considered by following the deterministic delayed model introduced in Valentim et al. (2015). Steady-state regimes and stability of the deterministic original model are investigated analytically and numerically. By decoupling some concentrations, the system was reduced to emphasise the role played by the transcription factor Suppressor of Overexpression of Constants1 ([Formula: see text]) and the important floral meristem identity genes, Leafy ([Formula: see text]) and Apetala1 ([Formula: see text]). Two-dimensional motifs, based on the dynamics of [Formula: see text] and [Formula: see text], are obtained from the reduced network and parameter ranges ensuring flowering are determined. Their stability analysis shows that [Formula: see text] and [Formula: see text] are regulating each other for flowering, matching experimental findings. New sufficient conditions of mean square stability in the stochastic model are obtained using a stochastic Lyapunov approach. Our numerical simulations demonstrate that the reduced models of Arabidopsis flowering time, describing specific motifs of the GRN, can capture the essential behaviour of the full system and also introduce the conditions of flowering initiation. Additionally, they show that stochastic effects can change the behaviour of the stability region through a stability switch. This study thus contributes to a better understanding of the role of [Formula: see text] and [Formula: see text] in Arabidopsis flowering.

Dataset Information

Genome analysis: RNA recognition motif (RRM) and K homology (KH) domain RNA-binding proteins from the flowering plant Arabidopsis thaliana.

Publications

Genome analysis: RNA recognition motif (RRM) and K homology (KH) domain RNA-binding proteins from the flowering plant Arabidopsis thaliana.

Similar Datasets

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