The First Contact of Human Dendritic Cells With Trypanosoma cruzi Reveals Response to Virus as an Unexplored Central Pathway

Chagas disease is a debilitating and neglected disease caused by the protozoan Trypanosoma cruzi. Soon after infection, interactions among T. cruzi and host innate immunity cells can drive/contribute to disease outcome. Dendritic cells (DCs), present in all tissues, are one of the first immune cells to interact with Trypanosoma cruzi metacyclic trypomastigotes. Elucidating the immunological events triggered immediately after parasite-human DCs encounter may aid in understanding the role of DCs in the establishment of infection and in the course of the disease. Therefore, we performed a transcriptomic analysis of a 12 h interaction between T. cruzi and MoDCs (monocyte-derived DCs) from three human donors. Enrichment analyses of the 468 differentially expressed genes (DEGs) revealed viral infection response as the most regulated pathway. Additionally, exogenous antigen processing and presentation through MHC-I, chemokine signaling, lymphocyte co-stimulation, metallothioneins, and inflammasome activation were found up-regulated. Notable, we were able to identify the increased gene expression of alternative inflammasome sensors such as AIM2, IFI16, and RIG-I for the first time in a T. cruzi infection. Both transcript and protein expression levels suggest proinflammatory cytokine production during early T. cruzi-DCs contact. Our transcriptome data unveil antiviral pathways as an unexplored process during T. cruzi-DC initial interaction, disclosing a new panorama for the study of Chagas disease outcomes.

Selection of Antibody Fragments for CAR-T Cell Therapy from Phage Display Libraries

CAR-T cell therapy emerged in the last years as a great promise to cancer treatment. Nowadays, there is a run to improve the breadth of its use, and thus, new chimeric antigen receptors (CAR) are being proposed. The antigen-binding counterpart of CAR is an antibody fragment, scFv (single chain variable fragment), that recognizes a membrane protein associated to a cancer cell. In this chapter, the use of human scFv phage display libraries as a source of new mAbs against surface antigen is discussed. Protocols focusing in the use of extracellular domains of surface protein in biotinylated format are proposed as selection antigen. Elution with unlabeled peptide and selection in solution is described. The analysis of enriched scFvs throughout the selection using NGS is also outlined. Taken together these protocols allow for the isolation of new scFvs able to be useful in the construction of new chimeric antigen receptors for application in cancer therapy.

Live neighbor-joining

BACKGROUND

In phylogenetic reconstruction the result is a tree where all taxa are leaves and internal nodes are hypothetical ancestors. In a live phylogeny, both ancestral and living taxa may coexist, leading to a tree where internal nodes may be living taxa. The well-known Neighbor-Joining heuristic is largely used for phylogenetic reconstruction.

RESULTS

We present Live Neighbor-Joining, a heuristic for building a live phylogeny. We have investigated Live Neighbor-Joining on datasets of viral genomes, a plausible scenario for its application, which allowed the construction of alternative hypothesis for the relationships among virus that embrace both ancestral and descending taxa. We also applied Live Neighbor-Joining on a set of bacterial genomes and to sets of images and texts. Non-biological data may be better explored visually when their relationship in terms of content similarity is represented by means of a phylogeny.

CONCLUSION

Our experiments have shown interesting alternative phylogenetic hypothesis for RNA virus genomes, bacterial genomes and alternative relationships among images and texts, illustrating a wide range of scenarios where Live Neighbor-Joining may be used.

A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

Background

In recent years, a rapidly increasing number of RNA transcripts has been generated by thousands of sequencing projects around the world, creating enormous volumes of transcript data to be analyzed. An important problem to be addressed when analyzing this data is distinguishing between long non-coding RNAs (lncRNAs) and protein coding transcripts (PCTs). Thus, we present a Support Vector Machine (SVM) based method to distinguish lncRNAs from PCTs, using features based on frequencies of nucleotide patterns and ORF lengths, in transcripts.

Methods

The proposed method is based on SVM and uses the first ORF relative length and frequencies of nucleotide patterns selected by PCA as features. FASTA files were used as input to calculate all possible features. These features were divided in two sets: (i) 336 frequencies of nucleotide patterns; and (ii) 4 features derived from ORFs. PCA were applied to the first set to identify 6 groups of frequencies that could most contribute to the distinction. Twenty-four experiments using the 6 groups from the first set and the features from the second set where built to create the best model to distinguish lncRNAs from PCTs.

Results

This method was trained and tested with human (Homo sapiens), mouse (Mus musculus) and zebrafish (Danio rerio) data, achieving 98.21%, 98.03% and 96.09%, accuracy, respectively. Our method was compared to other tools available in the literature (CPAT, CPC, iSeeRNA, lncRNApred, lncRScan-SVM and FEELnc), and showed an improvement in accuracy by ≈3.00%. In addition, to validate our model, the mouse data was classified with the human model, and vice-versa, achieving ≈97.80% accuracy in both cases, showing that the model is not overfit. The SVM models were validated with data from rat (Rattus norvegicus), pig (Sus scrofa) and fruit fly (Drosophila melanogaster), and obtained more than 84.00% accuracy in all these organisms. Our results also showed that 81.2% of human pseudogenes and 91.7% of mouse pseudogenes were classified as non-coding. Moreover, our method was capable of re-annotating two uncharacterized sequences of Swiss-Prot database with high probability of being lncRNAs. Finally, in order to use the method to annotate transcripts derived from RNA-seq, previously identified lncRNAs of human, gorilla (Gorilla gorilla) and rhesus macaque (Macaca mulatta) were analyzed, having successfully classified 98.62%, 80.8% and 91.9%, respectively.

Conclusions

The SVM method proposed in this work presents high performance to distinguish lncRNAs from PCTs, as shown in the results. To build the model, besides using features known in the literature regarding ORFs, we used PCA to identify features among nucleotide pattern frequencies that contribute the most in distinguishing lncRNAs from PCTs, in reference data sets. Interestingly, models created with two evolutionary distant species could distinguish lncRNAs of even more distant species.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-017-4178-4) contains supplementary material, which is available to authorized users.

Knowledge-based reasoning to annotate noncoding RNA using multi-agent system

Noncoding RNAs (ncRNAs) have been focus of intense research over the last few years. Since characteristics and signals of ncRNAs are not entirely known, researchers use different computational tools together with their biological knowledge to predict putative ncRNAs. In this context, this work presents ncRNA-Agents, a multi-agent system to annotate ncRNAs based on the output of different tools, using inference rules to simulate biologists' reasoning. Experiments with data from the fungus Saccharomyces cerevisiae allowed to measure the performance of ncRNA-Agents, with better sensibility, when compared to Infernal, a widely used tool for annotating ncRNA. Besides, data of the Schizosaccharomyces pombe and Paracoccidioides brasiliensis fungi identified novel putative ncRNAs, which demonstrated the usefulness of our approach. NcRNA-Agents can be be found at: http://www.biomol.unb.br/ncrna-agents.

A minimal cytomegalovirus intron A variant can improve transgene expression in different mammalian cell lines

The expression enhancement by cytomegalovirus promoter and different intron A (IA) variants were evaluated in CHO-K1, HepG2, HEK-293 and COS-7 cells by assessing the levels of luciferase activity. This data along with mRNA levels measurement indicated that the construct harboring an IA variant with a 200-nucleotide deletion (Δ200) had the greatest impact on increasing luciferase expression among all constructs evaluated. Based on these results, we redesigned pCMV-IA variants and cloned them into plasmids expressing a humanized antibody. These plasmids were then used to transfect CHO-K1 cells. Production of the antibody was not augmented with the Δ200 promoter variant. The 600-nucleotide deletion (Δ600) and whole IA promoter variants expressed similar levels of the recombinant protein. These data indicate that the IA-based enhanced expression of transgenes depends on a small region within the intron.

Clustering rfam 10.1: clans, families, and classes

The Rfam database contains information about non-coding RNAs emphasizing their secondary structures and organizing them into families of homologous RNA genes or functional RNA elements. Recently, a higher order organization of Rfam in terms of the so-called clans was proposed along with its “decimal release”. In this proposition, some of the families have been assigned to clans based on experimental and computational data in order to find related families. In the present work we investigate an alternative classification for the RNA families based on tree edit distance. The resulting clustering recovers some of the Rfam clans. The majority of clans, however, are not recovered by the structural clustering. Instead, they get dispersed into larger clusters, which correspond roughly to Genes 2012, 3 379 well-described RNA classes such as snoRNAs, miRNAs, and CRISPRs. In conclusion, a structure-based clustering can contribute to the elucidation of the relationships among the Rfam families beyond the realm of clans and classes.

Novel humanized anti-CD3 antibodies induce a predominantly immunoregulatory profile in human peripheral blood mononuclear cells

Strategies to minimize the immunogenicity and toxicity of murine anti-CD3 antibodies (e.g. OKT3) are of special interest for organ transplantation and for the treatment of autoimmune diseases. In the present work, we have developed two humanized anti-CD3 antibodies. These molecules were shown to bind to human CD3, though less efficiently, and display less mitogenic activity than OKT3. These results prompted us to investigate whether this reduced mitogenic potential was associated with the development of anti-inflammatory properties. Indeed, in peripheral blood mononuclear cells (PBMCs), the humanized antibody versions induced a predominantly anti-inflammatory cytokine profile, in contrast with the pro-inflammatory profile induced by OKT3. Neither OKT3 nor the humanized versions induced the expression of IL-4, IL-2 or TGF-beta. Both humanized antibodies induced significantly lower production of IFN-gamma and IL-5 and slightly higher production of IL-10 than OKT3. This immunomodulatory profile was most evident by the 80-fold higher ratio of IL-10/IFN-gamma production in PBMCs cultured in the presence of the humanized antibodies, compared to those stimulated with OKT3. Furthermore, these humanized anti-CD3 antibodies induced a late FOXP3 gene expression while OKT3 led to a more transient expression of FOXP3. Taken our results, we suggest that these humanized anti-CD3 antibodies may promote the development of T cells with immunoregulatory activity.

Overview and perspectives on the transcriptome of Paracoccidioides brasiliensis

Paracoccidioides brasiliensis is a dimorphic and thermo-regulated fungus which is the causative agent of paracoccidioidomycosis, an endemic disease widespread in Latin America that affects 10 million individuals. Pathogenicity is assumed to be a consequence of the dimorphic transition from mycelium to yeast cells during human infection. This review shows the results of the P. brasiliensis transcriptome project which generated 6,022 assembled groups from mycelium and yeast phases. Computer analysis using the tools of bioinformatics revealed several aspects from the transcriptome of this pathogen such as: general and differential metabolism in mycelium and yeast cells; cell cycle, DNA replication, repair and recombination; RNA biogenesis apparatus; translation and protein fate machineries; cell wall; hydrolytic enzymes; proteases; GPI-anchored proteins; molecular chaperones; insights into drug resistance and transporters; oxidative stress response and virulence. The present analysis has provided a more comprehensive view of some specific features considered relevant for the understanding of basic and applied knowledge of P. brasiliensis.

Swine and poultry pathogens: the complete genome sequences of two strains of Mycoplasma hyopneumoniae and a strain of Mycoplasma synoviae

This work reports the results of analyses of three complete mycoplasma genomes, a pathogenic (7448) and a nonpathogenic (J) strain of the swine pathogen Mycoplasma hyopneumoniae and a strain of the avian pathogen Mycoplasma synoviae; the genome sizes of the three strains were 920,079 bp, 897,405 bp, and 799,476 bp, respectively. These genomes were compared with other sequenced mycoplasma genomes reported in the literature to examine several aspects of mycoplasma evolution. Strain-specific regions, including integrative and conjugal elements, and genome rearrangements and alterations in adhesin sequences were observed in the M. hyopneumoniae strains, and all of these were potentially related to pathogenicity. Genomic comparisons revealed that reduction in genome size implied loss of redundant metabolic pathways, with maintenance of alternative routes in different species. Horizontal gene transfer was consistently observed between M. synoviae and Mycoplasma gallisepticum. Our analyses indicated a likely transfer event of hemagglutinin-coding DNA sequences from M. gallisepticum to M. synoviae.

Pbhyd1 and Pbhyd2: two mycelium-specific hydrophobin genes from the dimorphic fungus Paracoccidioides brasiliensis

Paracoccidioides brasiliensis, the etiologic agent of paracoccidioidomycosis, is a dimorphic fungus which is found as mycelia (M) at 26 degrees C and as yeasts (Y) at 37 degrees C, or after the invasion of host tissues. Although the dimorphic transition in P. brasiliensis and other dimorphic fungi is an essential step in the establishment of infection, the molecular events regulating this process are yet poorly understood. Since the differential gene expression is a well-known mechanism which plays a central role in the dimorphic transition as well as in other biological process, in this work we describe the identification and characterization of two differentially expressed P. brasiliensis hydrophobin cDNAs (Pbhyd1 and Pbhyd2). Hydrophobins are small hydrophobic proteins related to a variety of important functions in fungal biology, including cell growth, development, infection, and virulence. These two hydrophobin genes are present as single copy in P. brasiliensis genome and Northern blot analysis revealed that both mRNAs are mycelium-specific and highly accumulated during the first 24 h of M to Y transition.

The targets and genes for antibodies to Z-DNA

Antibodies to Z-DNA serve as models for recognition of nucleic acid structure by proteins that use peptide loops rather than helix-loop-helix, zinc-finger or other recurrent motifs for DNA binding. Anti-Z-DNA antibodies have been elicited in rabbits, mice and goats by injection of brominated poly(dG-dC), a stable form of Z-DNA. Detailed studies of two mouse monoclonal antibodies to Z-DNA, Z22 and Z44, have been reported. Epitopes on Z-DNA have been mapped by both serological reactions and n.m.r. spectroscopy. Antibodies Z22 and Z44 recognize different sites on the Z-DNA. They are both encoded by members of the VH10 gene family, which also encodes known autoantibodies to DNA. Vectors for bacterial expression of single-chain Fv molecules have been used to determine the importance of specific H- and L-chain combinations and particular CDR3 sequences for Z-DNA binding. Changes in the H-chain CDR3 cause a decrease in the highly selective Z-DNA binding and an increase in autoantibody-like binding of B-DNA and single-stranded DNA.

Role of mouse VH10 and VL gene segments in the specific binding of antibody to Z-DNA, analyzed with recombinant single chain Fv molecules

A plasmid vector was constructed for the expression of a single chain Fv domain of mouse mAb to Z-DNA (antibody Z22), which is encoded by VH10 and V kappa 10 gene family members along with Dsp2, JH4, and J kappa 4 segments. The vector coded for a PhoA secretion signal, VH segment, flexible peptide linker, VL segment, (His)5, and a protein A domain. Unique restriction sites allowed exchange of the segments as cassettes. Bacteria transformed with the vector secreted soluble recombinant Fv with specific Z-DNA-binding activity. When the L chain of Z22 was replaced with a library of splenic VL cDNA from a mouse immunized with Z-DNA, only a light chain closely resembling that of the original Z22 (differing at six amino acid positions) yielded Fv with Z-DNA-binding activity. The Fv with this L chain replacement had a lowered affinity, but remained selective for Z-DNA. Replacement of the Z22 H chain with a mixture of 11 VH10-encoded H chains yielded two Z-DNA binding clones, but they bound B-DNA and denatured DNA as well as Z-DNA. The replacement clones indicate the importance of the H chain CDR3 and particular VH-VL combinations in formation of specific antibodies to Z-DNA.

Role of mouse VH10 and VL gene segments in the specific binding of antibody to Z-DNA, analyzed with recombinant single chain Fv molecules

A plasmid vector was constructed for the expression of a single chain Fv domain of mouse mAb to Z-DNA (antibody Z22), which is encoded by VH10 and V kappa 10 gene family members along with Dsp2, JH4, and J kappa 4 segments. The vector coded for a PhoA secretion signal, VH segment, flexible peptide linker, VL segment, (His)5, and a protein A domain. Unique restriction sites allowed exchange of the segments as cassettes. Bacteria transformed with the vector secreted soluble recombinant Fv with specific Z-DNA-binding activity. When the L chain of Z22 was replaced with a library of splenic VL cDNA from a mouse immunized with Z-DNA, only a light chain closely resembling that of the original Z22 (differing at six amino acid positions) yielded Fv with Z-DNA-binding activity. The Fv with this L chain replacement had a lowered affinity, but remained selective for Z-DNA. Replacement of the Z22 H chain with a mixture of 11 VH10-encoded H chains yielded two Z-DNA binding clones, but they bound B-DNA and denatured DNA as well as Z-DNA. The replacement clones indicate the importance of the H chain CDR3 and particular VH-VL combinations in formation of specific antibodies to Z-DNA.

Two induced anti-Z-DNA monoclonal antibodies use VH gene segments related to those of anti-DNA autoantibodies

The cDNA for H and L chain V regions of two anti-Z-DNA mAb, Z22 and Z44, were cloned and sequenced. These are the first experimentally induced anti-nucleic acid antibody sequences available for comparison with autoantibody sequences. Z22 and Z44 are IgG2b and IgG2a antibodies from C57BL/6 mice. They recognize different facets of the Z-DNA structure. They both use VH10 family genes and share 95% sequence base sequence identity in the VH and leader sequences; however, they differ in the 5'-untranslated region of the VH mRNA, indicating they arise from different germline genes. Both use JH4 segments. They differ from each other very extensively in the CDR3 of both H and L chains. The most closely related H chains in the current GenBank/EMBL data base are two mouse IgG anti-DNA autoantibodies, one from an MRL-lpr/lpr mouse (MRL-DNA4) and one from an NZB/NZW mouse (BV04-01). Z22 and Z44 share 95% sequence identity with these antibodies in the VH segment. In addition, Z22 is identical to MRL-DNA4 at 91% of the positions in the 5'-untranslated region of the H chain mRNA. The two antibodies share 95% base sequence identity in the V kappa segment. The most closely related L chains, with 97 to 98% sequence identity, are the V kappa 10b germline gene for Z22 and the V kappa 10a germ line gene, which is associated with A/J anti-arsonate antibodies and BALB/c anti-ABO blood group substance antibodies, for Z44. Z22 and Z44 share several structural features (similarities in VH, JH, and V kappa) but differ very markedly in the L chain CDR1 and both H and L chain CDR3 sequences; these regions may determine the differences in their specific interactions with Z-DNA.

Two induced anti-Z-DNA monoclonal antibodies use VH gene segments related to those of anti-DNA autoantibodies

The cDNA for H and L chain V regions of two anti-Z-DNA mAb, Z22 and Z44, were cloned and sequenced. These are the first experimentally induced anti-nucleic acid antibody sequences available for comparison with autoantibody sequences. Z22 and Z44 are IgG2b and IgG2a antibodies from C57BL/6 mice. They recognize different facets of the Z-DNA structure. They both use VH10 family genes and share 95% sequence base sequence identity in the VH and leader sequences; however, they differ in the 5'-untranslated region of the VH mRNA, indicating they arise from different germline genes. Both use JH4 segments. They differ from each other very extensively in the CDR3 of both H and L chains. The most closely related H chains in the current GenBank/EMBL data base are two mouse IgG anti-DNA autoantibodies, one from an MRL-lpr/lpr mouse (MRL-DNA4) and one from an NZB/NZW mouse (BV04-01). Z22 and Z44 share 95% sequence identity with these antibodies in the VH segment. In addition, Z22 is identical to MRL-DNA4 at 91% of the positions in the 5'-untranslated region of the H chain mRNA. The two antibodies share 95% base sequence identity in the V kappa segment. The most closely related L chains, with 97 to 98% sequence identity, are the V kappa 10b germline gene for Z22 and the V kappa 10a germ line gene, which is associated with A/J anti-arsonate antibodies and BALB/c anti-ABO blood group substance antibodies, for Z44. Z22 and Z44 share several structural features (similarities in VH, JH, and V kappa) but differ very markedly in the L chain CDR1 and both H and L chain CDR3 sequences; these regions may determine the differences in their specific interactions with Z-DNA.