Identification Of Novel Families Research Articles

Computational Identification of Novel Families of Nonfullerene Acceptors by Modification of Known Compounds.

We considered a database of tens of thousands of known organic semiconductors and identified those compounds with computed electronic properties (orbital energies, excited state energies, and oscillator strengths) that would make them suitable as nonfullerene electron acceptors in organic solar cells. The range of parameters for the desirable acceptors is determined from a set of experimentally characterized high-efficiency nonfullerene acceptors. This search leads to ∼30 lead compounds never considered before for organic photovoltaic applications. We then proceed to modify these compounds to bring their computed solubility in line with that of the best small-molecule nonfullerene acceptors. A further refinement of the search can be based on additional properties like the reorganization energy for chemical reduction. This simple strategy, which relies on a few easily computable parameters and can be expanded to a larger set of molecules, enables the identification of completely new chemical families to be explored experimentally.

Plant RNA Interactome Capture: Revealing the Plant RBPome.

The application of RNA interactome capture to plants has enabled comprehensive determination of the plant RNA-binding proteome and the identification of novel families of RNA-binding proteins (RBPs). The technique is providing insight into the evolution of the eukaryotic repertoire of RBPs and will enhance prospects for engineering RBPs to improve crop traits.

Editorial: RNA in bacteria: biogenesis, regulatory mechanisms and functions

The advent of high-throughput computational and RNA sequencing approaches in the past decade has highlighted an increasing number of RNA molecules in bacteria with critical functions in metabolic, physiological and virulence processes. Accordingly, proteins that interact with RNA have also benefited from a regained interest. A multitude of mechanisms involved in the regulation of gene expression by RNA molecules and in the interaction of RNAs with molecular partners have been described. There is a growing curiosity in understanding how RNA interferes or interacts with target DNA, RNA and proteins, and in the identification and characterization of nucleases, RNA helicases or RNA chaperones responsible for the activation, stability, decay or modes of action of RNA molecules. Remarkably, the recent analysis of CRISPR-Cas systems as RNA-mediated adaptive immune pathways in bacteria and archaea has resulted in the identification of novel families of proteins that function alone or in complexes to interact with RNA and/or DNA, and novel mechanisms of nucleic acid-based interference herewith. Information is now available on a large and still growing number of bacterial RNA molecules, the targets and functions of which are largely unknown. Given the enormous heterogeneity among different bacteria and the constant pressure for adaptation to multiple stresses and environments, we expect to discover a wide variety of novel RNAs with regulatory functions and associated proteins. We predict exciting findings and innovation in the field of RNA research in bacteria for a number of years to come. In this issue, FEMS Microbiology Reviews has selected a series of articles that highlight some of the recent findings on RNA biology in bacteria focusing on RNA biogenesis, modes of action, regulatory mechanisms and functions. The continuous effort to adapt innovative technologies and biological approaches to the bacterial RNA field has advanced our understanding of how regulatory RNAs and their … [↵][1]* Corresponding editors. E-mail: emmanuelle.charpentier{at}helmholtz-hzi.de and wolfgang.hess{at}biologie.uni-freiburg.de [1]: #xref-corresp-1-1

ACTN1-related thrombocytopenia: identification of novel families for phenotypic characterization

AbstractInherited thrombocytopenias (ITs) are a heterogeneous group of syndromic and nonsyndromic diseases caused by mutations affecting different genes. Alterations of ACTN1, the gene encoding for α-actinin 1, have recently been identified in a few families as being responsible for a mild form of IT (ACTN1-related thrombocytopenia; ACTN1-RT). To better characterize this disease, we screened ACTN1 in 128 probands and found 10 (8 novel) missense heterozygous variants in 11 families. Combining bioinformatics, segregation, and functional studies, we demonstrated that all but 1 amino acid substitution had deleterious effects. The clinical and laboratory findings of 31 affected individuals confirmed that ACTN1-RT is a mild macrothrombocytopenia with low risk for bleeding. Low reticulated platelet counts and only slightly increased serum thrombopoietin levels indicated that the latest phases of megakaryopoiesis were affected. Given its relatively high frequency in our cohort (4.2%), ACTN1-RT has to be taken into consideration in the differential diagnosis of ITs.

Identification of hidden relationships from the coupling of Hydrophobic Cluster Analysis and Domain Architecture information

Describing domain architecture is a critical step in the functional characterization of proteins. However, some orphan domains do not match any profile stored in dedicated domain databases and are thereby difficult to analyze. We present here an original novel approach, called TREMOLO-HCA, for the analysis of orphan domain sequences and inspired from our experience in the use of Hydrophobic Cluster Analysis (HCA). Hidden relationships between protein sequences can be more easily identified from the PSI-BLAST results, using information on domain architecture, HCA plots and the conservation degree of amino acids that may participate in the protein core. This can lead to reveal remote relationships with known families of domains, as illustrated here with the identification of a hidden Tudor tandem in the human BAHCC1 protein and a hidden ET domain in the Saccharomyces cerevisiae Taf14p and human AF9 proteins. The results obtained in such a way are consistent with those provided by HHPRED, based on pairwise comparisons of HHMs. Our approach can, however, be applied even in absence of domain profiles or known 3D structures for the identification of novel families of domains. It can also be used in a reverse way for refining domain profiles, by starting from known protein domain families and identifying highly divergent members, hitherto considered as orphan. We provide a possible integration of this approach in an open TREMOLO-HCA package, which is fully implemented in python v2.7 and is available on request. Instructions are available at http://www.impmc.upmc.fr/∼callebau/tremolohca.html. isabelle.callebaut@impmc.upmc.fr Supplementary Data are available at Bioinformatics online.

Disruption of a Ciliary B9 Protein Complex Causes Meckel Syndrome

Nearly every ciliated organism possesses three B9 domain-containing proteins: MKS1, B9D1, and B9D2. Mutations in human MKS1 cause Meckel syndrome (MKS), a severe ciliopathy characterized by occipital encephalocele, liver ductal plate malformations, polydactyly, and kidney cysts. Mouse mutations in either Mks1 or B9d2 compromise ciliogenesis and result in phenotypes similar to those of MKS. Given the importance of these two B9 proteins to ciliogenesis, we examined the role of the third B9 protein, B9d1. Mice lacking B9d1 displayed polydactyly, kidney cysts, ductal plate malformations, and abnormal patterning of the neural tube, concomitant with compromised ciliogenesis, ciliary protein localization, and Hedgehog (Hh) signal transduction. These data prompted us to screen MKS patients for mutations in B9D1 and B9D2. We identified a homozygous c.301A>C (p.Ser101Arg) B9D2 mutation that segregates with MKS, affects an evolutionarily conserved residue, and is absent from controls. Unlike wild-type B9D2 mRNA, the p.Ser101Arg mutation failed to rescue zebrafish phenotypes induced by the suppression of b9d2. With coimmunoprecipitation and mass spectrometric analyses, we found that Mks1, B9d1, and B9d2 interact physically, but that the p.Ser101Arg mutation abrogates the ability of B9d2 to interact with Mks1, further suggesting that the mutation compromises B9d2 function. Our data indicate that B9d1 is required for normal Hh signaling, ciliogenesis, and ciliary protein localization and that B9d1 and B9d2 are essential components of a B9 protein complex, disruption of which causes MKS.

Molecular mechanisms of mechanotransduction in mammalian sensory neurons

The somatosensory system mediates fundamental physiological functions, including the senses of touch, pain and proprioception. This variety of functions is matched by a diverse array of mechanosensory neurons that respond to force in a specific fashion. Mechanotransduction begins at the sensory nerve endings, which rapidly transform mechanical forces into electrical signals. Progress has been made in establishing the functional properties of mechanoreceptors, but it has been remarkably difficult to characterize mechanotranducer channels at the molecular level. However, in the past few years, new functional assays have provided insights into the basic properties and molecular identity of mechanotransducer channels in mammalian sensory neurons. The recent identification of novel families of proteins as mechanosensing molecules will undoubtedly accelerate our understanding of mechanotransduction mechanisms in mammalian somatosensation.

Identification of novel families and classification of the C2 domain superfamily elucidate the origin and evolution of membrane targeting activities in eukaryotes

Eukaryotes contain an elaborate membrane system, which bounds the cell itself, nuclei, organelles and transient intracellular structures, such as vesicles. The emergence of this system was marked by an expansion of a number of structurally distinct classes of lipid-binding domains that could throw light on the early evolution of eukaryotic membranes. The C2 domain is a useful model to understand these events because it is one of the most prevalent eukaryotic lipid-binding domains deployed in diverse functional contexts. Most studies have concentrated on C2 domains prototyped by those in protein kinase C (PKC–C2) isoforms that bind lipid in a calcium-dependent manner. While two other distinct families of C2 domains, namely those in PI3K–C2 and PTEN–C2 are also recognized, a complete picture of evolutionary relationships within the C2 domain superfamily is lacking. We systematically studied this superfamily using sequence profile searches, phylogenetic and phyletic-pattern analysis and structure-prediction. Consequently, we identified several distinct families of C2 domains including those respectively typified by C2 domains in the Aida (axin interactor, dorsalization associated) proteins, B9 proteins (e.g. Mks1 (Xbx-7), Stumpy (Tza-1) and Tza-2) involved in centrosome migration and ciliogenesis, Dock180/Zizimin proteins which are Rac/CDC42 GDP exchange factors, the EEIG1/Sym-3, EHBP1 and plant RPG/PMI1 proteins involved in endocytotic recycling and organellar positioning and an apicomplexan family. We present evidence that the last eukaryotic common ancestor (LECA) contained at least 10 C2 domains belonging to 6 well-defined families. Further, we suggest that this pre-LECA diversification was linked to the emergence of several quintessentially eukaryotic structures, such as membrane repair and vesicular trafficking system, anchoring of the actin and tubulin cytoskeleton to the plasma and vesicular membranes, localization of small GTPases to membranes and lipid-based signal transduction. Subsequent lineage-specific expansions of Zizimin-type C2 domains and functionally linked CDC42/Rac GTPases occurred independently in eukaryotes that evolved active amoeboid motility. While two lipid-binding regions are likely to be shared by majority of C2 domains, the actual constellation of lipid-binding residues (predominantly basic) are distinct in each family potentially reflective of the functional and biochemical diversity of these domains. Importantly, we show that the calcium-dependent membrane interaction is a derived feature limited to the PKC–C2 domains. Our identification of novel C2 domains offers new insights into interaction between both the microtubular and microfilament cytoskeleton and cellular membranes.

Comprehensive classification of nucleotidyltransferase fold proteins: identification of novel families and their representatives in human

This article presents a comprehensive review of large and highly diverse superfamily of nucleotidyltransferase fold proteins by providing a global picture about their evolutionary history, sequence-structure diversity and fulfilled functional roles. Using top-of-the-line homology detection method combined with transitive searches and fold recognition, we revised the realm of these superfamily in numerous databases of catalogued protein families and structures, and identified 10 new families of nucleotidyltransferase fold. These families include hundreds of previously uncharacterized and various poorly annotated proteins such as Fukutin/LICD, NFAT, FAM46, Mab-21 and NRAP. Some of these proteins seem to play novel important roles, not observed before for this superfamily, such as regulation of gene expression or choline incorporation into cell membrane. Importantly, within newly detected families we identified 25 novel superfamily members in human genome. Among these newly assigned members are proteins known to be involved in congenital muscular dystrophy, neurological diseases and retinal pigmentosa what sheds some new light on the molecular background of these genetic disorders. Twelve of new human nucleotidyltransferase fold proteins belong to Mab-21 family known to be involved in organogenesis and development. The determination of specific biological functions of these newly detected proteins remains a challenging task.

Microarray and bioinformatic detection of novel and established genes expressed in experimental anti-Thy1 nephritis

Microarray technology is a powerful tool that can probe the molecular pathogenesis of renal injury. In this present study microarray analysis was used to monitor serial changes in the renal transcriptome of a rat model of mesangial proliferative glomerulonephritis. Administration of anti-Thy1 antibody results in phases of acute mesangial injury (day 2), cell proliferation (day 5), matrix expansion (days 5 and 7), and subsequent healing (day 14). Using Affymetrix (RAE230A) microarrays coupled with sequential primary biologic function-focused and secondary "baited" global cluster analysis, a cohort of established and putative novel modulators of mesangial cell turnover was identified. Cluster analysis of proliferative genes identified a number of gene expression profiles. The most striking pattern was increased gene expression at day 5, a cluster that included platelet-derived growth factor (PDGF), cyclins and transforming growth factor-beta (TGF-beta). The gene expression patterns identified by primary focused cluster analysis were used as bioinformatic bait and resulted in the identification of novel families of genes such as the S100 family. The expression of established and novel genes was confirmed using reverse transcription-polymerase chain reaction (RT-PCR). Next, in vivo gene expression was compared to PDGF-stimulated mesangial cells in vitro revealing similar patterns of dysregulation. Transcriptomic analysis defined both known and novel molecules involved in mesangial cell proliferation in vitro and in vivo and defined a panel of molecules that are potential contributors to mesangial cell dysfunction in glomerular disease.

Novel class of polytopic proteins with domains associated with putative protease activity.

A significant proportion of early onset Alzheimer's disease (AD) is caused by mutations in human genes for amyloid precursor protein (APP), presenilins 1 and 2 (PSEN1,2). AD associated mutations in PSEN1,2 genes alter the gamma-secretase cleavage activity of APP resulting in increased production of amyloidogenic Abeta42. PSEN dependent intramembrane proteolysis was described as an important step required for cleavage of Notch receptors, Notch-dependent signal transduction, and processing of other proteins. It is still unclear whether presenilins are unusual intramembrane proteases or they are necessary cofactors of gamma-secretase cleavage of APP and Notch. Identification of other proteins similar to presenilins may resolve this dilemma. We describe here the identification of novel families of genes encoding polytopic transmembrane proteins of Eukaryotes (IMPASes) and Arachaea(membrases). These proteins have a predicted structure similar to presenilins. The amino acid similarity is significant in domains carrying invariant amino acid residues, which are critical in specific presenilin-regulated endoproteolysis. Many members of the IMPAS family have protease associated domains (PA) typical of proteases. We identified and cloned five human IMPAS genes. Expression analysis of the hIMP1 gene (located on chromosome 20) was performed in human cell tissues and transfected cell cultures. The data demonstrate that a conservative class of putative protease-related polytopic proteins related to presenilins exists in multicellular eukaryotes and microorganisms.

Identification of novel families of membrane proteins from the model plant Arabidopsis thaliana.

The completion of the Arabidopsis genome offers the first opportunity to analyze all of the membrane protein sequences of a plant. The majority of integral membrane proteins including transporters, channels, and pumps contain hydrophobic alpha-helices and can be selected based on TransMembrane Spanning (TMS) domain prediction. By clustering the predicted membrane proteins based on sequence, it is possible to sort the membrane proteins into families of known function, based on experimental evidence or homology, or unknown function. This provides a way to identify target sequences for future functional analysis. An automated approach was used to select potential membrane protein sequences from the set of all predicted proteins and cluster the sequences into related families. The recently completed sequence of Arabidopsis thaliana, a model plant, was analyzed. Of the 25,470 predicted protein sequences 4589 (18%) were identified as containing two or more membrane spanning domains. The membrane protein sequences clustered into 628 distinct families containing 3208 sequences. Of these, 211 families (1764 sequences) either contained proteins of known function or showed homology to proteins of known function in other species. However, 417 families (1444 sequences) contained only sequences with no known function and no homology to proteins of known function. In addition, 1381 sequences did not cluster with any family and no function could be assigned to 1337 of these.

Interleukin-2 Signaling and Inherited Immunodeficiency

Interleukin-2 Signaling and Inherited Immunodeficiency