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Background The thalassemia syndromes are classified according to the globin chain or chains whose production is affected. β-thalassemias are caused by point mutations or, more rarely, deletions or insertions of a few nucleotides in the β-globin gene or its immediate flanking sequences. These mutations interfere with the gene function either at the transcriptional, translational or posttranslational level. Methods Two cases of Polish patients with hereditary hemolytic anemia suspected of thalassemia were studied. DNA sequencing and mRNA quantification were performed. Stable human cell lines which express wild-type HBB and mutated versions were used to verify that detected mutation are responsible for mRNA degradation. Results We identified two different frameshift mutations positioned in the third exon of HBB. Both patients harboring these mutations present the clinical phenotype of thalassemia intermedia and showed dominant pattern of inheritance. In both cases the mutations do not generate premature stop codon. Instead, slightly longer protein with unnatural C-terminus could be produced. Interestingly, although detected mutations are not expected to induce NMD, the mutant version of mRNA is not detectable. Restoring of the open reading frame brought back the RNA to that of the wild-type level. Conclusion Our results show that a lack of natural stop codon due to the frameshift in exon 3 of β-globin gene causes rapid degradation of its mRNA and indicate existence of novel surveillance pathway. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0428-1) contains supplementary material, which is available to authorized users.

Clustered regularly interspaced palindromic repeats (CRISPR)/Cas-based adaptive immunity against pathogens in bacteria has been adapted for genome editing and applied in zebrafish (Danio rerio) to generate frameshift mutations in protein-coding genes. Although there are methods to detect, quantify and sequence CRISPR/Cas9-induced mutations, identifying mutations in F1 heterozygous fish remains challenging. Additionally, sequencing a mutation and assuming that it causes a frameshift does not prove causality because of possible alternative translation start sites and potential effects of mutations on splicing. This problem is compounded by the relatively few antibodies available for zebrafish proteins, limiting validation at the protein level. To address these issues, we developed a detailed protocol to screen F1 mutation carriers, and clone and sequence identified mutations. In order to verify that mutations actually cause frameshifts, we created a fluorescent reporter system that can detect frameshift efficiency based on the cloning of wild-type and mutant cDNA fragments and their expression levels. As proof of principle, we applied this strategy to three CRISPR/Cas9-induced mutations in pycr1a, chd7 and hace1 genes. An insertion of seven nucleotides in pycr1a resulted in the first reported observation of exon skipping by CRISPR/Cas9-induced mutations in zebrafish. However, of these three mutant genes, the fluorescent reporter revealed effective frameshifting exclusively in the case of a two-nucleotide deletion in chd7, suggesting activity of alternative translation sites in the other two mutants even though pycr1a exon-skipping deletion is likely to be deleterious. This article provides a protocol for characterizing frameshift mutations in zebrafish, and highlights the importance of checking mutations at the mRNA level and verifying their effects on translation by fluorescent reporters when antibody detection of protein loss is not possible., Summary: A new CRISPR/Cas9-based method of fluorescent reporter technology in zebrafish to confirm loss of gene function in this model.

Mycobacterial pathogens use the ESAT-6 system 1 (Esx-1) exporter to promote virulence. Previously, we used gene disruption and complementation to conclude that the MMAR_0039 gene in Mycobacterium marinum is required to promote Esx-1 export. Here we applied molecular genetics, proteomics, and whole-genome sequencing to demonstrate that the MMAR_0039 gene is not required for Esx-1 secretion or virulence. These findings suggest that we initially observed an indirect mechanism of genetic complementation. We identified a spontaneous nonsense mutation in a known Esx-1-associated gene which causes a loss of Esx-1 activity. We show that the Esx-1 function was restored by nonsense suppression. Moreover, we identified a polar mutation in the ppsC gene which reduced cellular impermeability but did not impact cytotoxicity in macrophages. Our studies reveal insight into Esx-1 export, nonsense suppression, and cell envelope lipid biogenesis.

In P. syringae, the co-ordinated regulation of different systems required for pathogenicity and virulence seems logical but has not been established. This question was addressed in the present study by analysing production of the phytotoxin coronatine (COR) in defined hrp/hrc mutants of P. syringae pv. tomato DC3000. COR was produced in vitro by mutants of DC3000 defective in hrcC, which encodes an outer-membrane protein required for type III-mediated secretion. When inoculated in plants, hrcC mutants produced chlorotic regions indicative of COR production, but lacked the necrotic lesions produced by the wild-type DC3000. Furthermore, a DC3000 mutant containing a polar mutation in hrcC, which inactivates hrcC, hrpT and hrpV, produced significantly higher amounts of COR than the wild-type strain in vitro. This mutant was able to produce COR earlier and at lower cell densities than the wild-type. The results indicate that the hrp/hrc secretion system is not required for COR production, but mutations in this system may have regulatory effects on the production of virulence factors such as COR.

Cystic fibrosis (CF) is the most common lethal genetic disease among the Western population caused by mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR). The development of effective therapeutic agents against CF requires a molecular understanding of how mutation-related structural alterations lead to impaired functioning of CFTR. The main cause for CF are processing mutations frequently found within CFTR-transmembrane (TM) segments which affect co-translational folding and insertion. However, the underlying molecular mechanisms for misfolding remain obscure, mainly because of the unavailability of high-resolution structures and a lack of methods suitable for studying membrane protein structure-function relationships.Devising a divide-and-conquer approach in combination with single-molecule FRET (smFRET), we present here a strategy to gain novel insights into the structural basis for conformational misfolding in CFTR. Using this approach, we study the CF-phenotypic polar mutation V232D located within the fourth TM helix (TM4) of CFTR. In vivo folding and insertion of TM4 is functionally coupled with TM3 where both TM segments are co-translationally inserted into the membrane as a TM helix-loop-helix hairpin motif (TM3/4). Utilizing this minimal folding unit, we employ smFRET as a molecular ruler to readout structural alterations imposed on the helical packing of the TM3/4 hairpin upon mutation. In contrast to earlier findings that suggested a TM lock between TM3 and TM4 by a non-native H-bond, our results reveal that V232D TM3/4 associates with membranes in an open conformation. This implies that the charged residue imposes an energy penalty on membrane insertion of the hairpin. We propose a model for CF pathogenesis where partitioning of V232D TM3/4 into the interfacial region leads to misfolding of CFTR during co-translational membrane insertion and inhibits maturation by trapping the protein as a partially folded intermediate.

Cancer genomes contain vast amounts of somatic mutations, many of which are passenger mutations not involved in oncogenesis. Whereas driver mutations in protein-coding genes can be distinguished from passenger mutations based on their recurrence, non-coding mutations are usually not recurrent at the same position. Therefore, it is still unclear how to identify cis-regulatory driver mutations, particularly when chromatin data from the same patient is not available, thus relying only on sequence and expression information. Here we use machine-learning methods to predict functional regulatory regions using sequence information alone, and compare the predicted activity of the mutated region with the reference sequence. This way we define the Predicted Regulatory Impact of a Mutation in an Enhancer (PRIME). We find that the recently identified driver mutation in the TAL1 enhancer has a high PRIME score, representing a “gain-of-target” for MYB, whereas the highly recurrent TERT promoter mutation has a surprisingly low PRIME score. We trained Random Forest models for 45 cancer-related transcription factors, and used these to score variations in the HeLa genome and somatic mutations across more than five hundred cancer genomes. Each model predicts only a small fraction of non-coding mutations with a potential impact on the function of the encompassing regulatory region. Nevertheless, as these few candidate driver mutations are often linked to gains in chromatin activity and gene expression, they may contribute to the oncogenic program by altering the expression levels of specific oncogenes and tumor suppressor genes., Author Summary Precise regulation of gene expression is controlled by cis-regulatory modules (CRM) containing binding sites for transcription factors (TF). The genome-wide location of all TF binding sites can often be obtained by ChIP-seq (chromatin immunoprecipitation followed by deep sequencing), yet in most cases only a minority of the binding peaks actually represent functional CRMs that control the transcription initiation of a bona fide TF target gene. Here, we investigated for 45 cancer-related TFs how machine-learning approaches can be used to predict functional TF target CRMs. After careful evaluation of their performance, we used these TF-target classifiers to predict which cis-regulatory mutations may have a significant impact on gene regulation by evaluating whether the mutation causes a significant gain or loss in the probability that the CRM is a functional TF target. We found that Random Forest classifiers can achieve more than 100-fold higher specificity for mutation prediction compared to the simple approaches based on scanning with position weight matrices. By scanning somatic mutations in breast cancer genomes and in the HeLa genome, we finally show that our TF-target classifiers can identify high impact non-coding mutations that are associated with concordant TF binding, gene expression changes and chromatin activity. In conclusion, TF-specific Random Forest classifiers can be used to prioritize cis-regulatory mutations in cancer genomes with high accuracy.