Evolution of the Ikaros family transcription factors: From a deuterostome ancestor to humans

Ikaros family proteins (Ikaros, Helios, Aiolos, Eos) are zinc finger transcription factors essential for the development and function of the adaptive immune system. They also control developmental events in neurons and other cell types, suggesting that they possess crucial functions across disparate cell types. These functions are likely shared among the organisms in which these factors exist, and it is thus important to obtain a view of their distribution and conservation across organisms. How this family evolved remains poorly understood. Here we mined protein, mRNA and DNA databases to identify proteins with DNA-binding domains homologous to that of Ikaros. We show that Ikaros-related proteins exist in organisms from all four deuterostome phyla (chordates, echinoderms, hemichordates, xenacoelomorpha), but not in more distant groups. While most non-vertebrates have a single family member, this family grew to six members in the acoel worm Hofstenia miamia, three in jawless and four in jawed vertebrates. Most residues involved in DNA contact from zinc fingers 2 to 4 were identical across the Ikaros family, suggesting conserved mechanisms for target sequence recognition. Further, we identified a novel KRKxxxPxK/R motif that inhibits DNA binding in vitro which was conserved across the deuterostome phyla. We also identified a EψψxxxψM(D/E)QAIxxAIxYLGA(D/E)xL motif conserved among human Ikaros, Aiolos, Helios and subsets of chordate proteins, and motifs that are specific to subsets of vertebrate family members. Some of these motifs are targets of mutations in human patients. Finally we show that the atypical family member Pegasus emerged only in vertebrates, which is consistent with its function in bone. Our data provide a novel evolutionary perspective for Ikaros family proteins and suggest that they have conserved regulatory functions across deuterostomes.

PyProtif: a PyMol plugin to retrieve and visualize protein motifs for structural studies

Proteins often possess several motifs and the ones with similar motifs were found to have similar biochemical properties and thus related biological functions. Thereby, multiple databases were developed to store information on such motifs in proteins. For instance, PDBsum stores the results of Promotif's generated structural motifs and Pfam stores pre-computed patterns of functional domains. In addition to the fact that all this stored information is extremely useful, we can further augment its importance if we ought to integrate these motifs into visualization software. In this work, we have developed PyProtif, a plugin for the PyMOL molecular visualization program, which automatically retrieves protein structural and functional motifs from different databases and integrates them in PyMOL for visualization and analyses. Through an expendable menu and a user-friendly interface, the plugin grants the users the ability to study simultaneously multiple proteins and to select and manipulate each motif separately. Thus, this plugin will be of great interest for structural, evolutionary and classification studies of proteins.

Supersecondary Structures and Fragment Libraries

The use of smotifs and fragment libraries has proven useful to both simplify and increase the quality of protein models. Here, we present Profrager, a tool that automatically generates putative structural fragments to reproduce local motifs of proteins given a target sequence. Profrager is highly customizable, allowing the user to select the number of fragments per library, the ranking method is able to generate fragments of all sizes, and it was recently modified to include the possibility of output exclusively smotifs.

Database and Bioinformatic Analysis of BCL-2 Family Proteins and BH3-Only Proteins

BCL-2 proteins correspond to a structurally, functionally, and phylogenetically heterogeneous group of regulators that play crucial roles in the life and death of animal cells. Some of these regulators also represent therapeutic targets in human diseases including cancer. In the omics era, there is great need for easy data retrieval and fast analysis of the molecular players involved in cell death. In this chapter, we present generic and specific computational resources (such as the reference database BCL2DB) as well as bioinformatics tools that can be used to investigate BCL-2 homologs and BH3-only proteins.