Translational regulation shapes the molecular landscape of complex disease phenotypes.

The extent of translational control of gene expression in mammalian tissues remains largely unknown. Here we perform genome-wide RNA sequencing and ribosome profiling in heart and liver tissues to investigate strain-specific translational regulation in the spontaneously hypertensive rat (SHR/Ola). For the most part, transcriptional variation is equally apparent at the translational level and there is limited evidence of translational buffering. Remarkably, we observe hundreds of strain-specific differences in translation, almost doubling the number of differentially expressed genes. The integration of genetic, transcriptional and translational data sets reveals distinct signatures in 3'UTR variation, RNA-binding protein motifs and miRNA expression associated with translational regulation of gene expression. We show that a large number of genes associated with heart and liver traits in human genome-wide association studies are primarily translationally regulated. Capturing interindividual differences in the translated genome will lead to new insights into the genes and regulatory pathways underlying disease phenotypes

Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma

Multiple myeloma, a plasma cell malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA sequencing to study the heterogeneity of 40 individuals along the multiple myeloma progression spectrum, including 11 healthy controls, demonstrating high interindividual variability that can be explained by expression of known multiple myeloma drivers and additional putative factors. We identify extensive subclonal structures for 10 of 29 individuals with multiple myeloma. In asymptomatic individuals with early disease and in those with minimal residual disease post-treatment, we detect rare tumor plasma cells with molecular characteristics similar to those of active myeloma, with possible implications for personalized therapies. Single cell analysis of rare circulating tumor cells allows for accurate liquid biopsy and detection of malignant plasma cells, which reflect bone marrow disease. Our work establishes single cell RNA sequencing for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients

Spray-coated carbon nanotube carpets for creeping reduction of conducting polymer based artificial muscles

International audienceIt is often observed that during cyclic actuation conducting polymer based artificial muscles are continuously creeping from the initial movement range. One of the likely reasons of such behaviour is unbalanced charging during conducting polymer oxidation and reduction. In order to improve the actuation reversibility and subsequently the long time performance of ionic actuators, we suggest to use spray-coated carbon nanotube (CNT) carpets on the surface of the conducting polymer electrodes. We show that carbon nanotubes facilitate conducting polymer redox reaction and improve its reversibility. Consequently, in the long term, charge accumulation in the polymer film is avoided leading to significantly improved long term performance during cycling actuation

Two novel GATA6 mutations cause childhood-onset diabetes mellitus, pancreas malformation and congenital heart disease

Background: GATA6 mutations are the most frequent cause of pancreatic agenesis and diabetes in human sporadic cases. In families, dominantly inherited mutations show a variable phenotype also in terms of endocrine and exocrine pancreatic disease. We report two novel GATA6 mutations in an independent cohort of 8 children with pancreas aplasia or hypoplasia and diabetes. Methods: We sequenced GATA6 in 8 children with diabetes and inborn pancreas abnormalities, i.e. hypoplasia or aplasia in which other known candidate genes causing monogenic diabetes and pancreatic defects had been excluded. Results: We found two novel heterozygous GATA6 mutations (c.951_954dup and c.754_904del) in 2 patients with sporadic pancreas hypoplasia, diabetes and severe cardiac defects (common truncus arteriosus and tetralogy of Fallot), but not in the remaining 6 patients. GATA6 mutations in carriers exhibited hypoplastic pancreas with absent head in 1 patient and with increased echogenicity and decreasing exocrine function in the other patient. Additionally, hepatobiliary malformations and brain atrophy were found in 1 patient. Conclusion: Our 2 cases with novel GATA6 mutations add more phenotype characteristics of GATA6 haploinsufficiency. In agreement with an increasing number of published cases, the wide phenotypic spectrum of GATA6 diabetes syndrome should draw the attention of both pediatric endocrinologists and geneticists

Benchmarking computational methods for B-cell receptor reconstruction from single-cell RNA-seq data

Multiple methods have recently been developed to reconstruct full-length B-cell receptors (BCRs) from single-cell RNA sequencing (scRNA-seq) data. This need emerged from the expansion of scRNA-seq techniques, the increasing interest in antibody-based drug development and the importance of BCR repertoire changes in cancer and autoimmune disease progression. However, a comprehensive assessment of performance-influencing factors such as the sequencing depth, read length or number of somatic hypermutations (SHMs) as well as guidance regarding the choice of methodology is still lacking. In this work, we evaluated the ability of six available methods to reconstruct full-length BCRs using one simulated and three experimental SMART-seq datasets. In addition, we validated that the BCRs assembled in silico recognize their intended targets when expressed as monoclonal antibodies. We observed that methods such as BALDR, BASIC and BRACER showed the best overall performance across the tested datasets and conditions, whereas only BASIC demonstrated acceptable results on very short read libraries. Furthermore, the de novo assembly-based methods BRACER and BALDR were the most accurate in reconstructing BCRs harboring different degrees of SHMs in the variable domain, while TRUST4, MiXCR and BASIC were the fastest. Finally, we propose guidelines to select the best method based on the given data characteristics

Benchmarking computational methods for B-cell receptor reconstruction from single-cell RNA-seq data

Multiple methods have recently been developed to reconstruct full-length B-cell receptors (BCRs) from single-cell RNA sequencing (scRNA-seq) data. This need emerged from the expansion of scRNA-seq techniques, the increasing interest in antibody-based drug development and the importance of BCR repertoire changes in cancer and autoimmune disease progression. However, a comprehensive assessment of performance-influencing factors such as the sequencing depth, read length or number of somatic hypermutations (SHMs) as well as guidance regarding the choice of methodology is still lacking. In this work, we evaluated the ability of six available methods to reconstruct full-length BCRs using one simulated and three experimental SMART-seq datasets. In addition, we validated that the BCRs assembled in silico recognize their intended targets when expressed as monoclonal antibodies. We observed that methods such as BALDR, BASIC and BRACER showed the best overall performance across the tested datasets and conditions, whereas only BASIC demonstrated acceptable results on very short read libraries. Furthermore, the de novo assembly-based methods BRACER and BALDR were the most accurate in reconstructing BCRs harboring different degrees of SHMs in the variable domain, while TRUST4, MiXCR and BASIC were the fastest. Finally, we propose guidelines to select the best method based on the given data characteristics.Pathophysiology and treatment of rheumatic disease

Translational regulation shapes the molecular landscape of complex disease phenotypes

10.1038/ncomms8200Nature Communications

Supplementary Material for: Two Novel GATA6 Mutations Cause Childhood-Onset Diabetes Mellitus, Pancreas Malformation and Congenital Heart Disease

<b><i>Background:</i></b><i>GATA6</i> mutations are the most frequent cause of pancreatic agenesis and diabetes in human sporadic cases. In families, dominantly inherited mutations show a variable phenotype also in terms of endocrine and exocrine pancreatic disease. We report two novel <i>GATA6</i> mutations in an independent cohort of 8 children with pancreas aplasia or hypoplasia and diabetes. <b><i>Methods:</i></b> We sequenced <i>GATA6</i> in 8 children with diabetes and inborn pancreas abnormalities, i.e. hypoplasia or aplasia in which other known candidate genes causing monogenic diabetes and pancreatic defects had been excluded. <b><i>Results:</i></b> We found two novel heterozygous <i>GATA6</i> mutations (c.951_954dup and c.754_904del) in 2 patients with sporadic pancreas hypoplasia, diabetes and severe cardiac defects (common truncus arteriosus and tetralogy of Fallot), but not in the remaining 6 patients. <i>GATA6</i> mutations in carriers exhibited hypoplastic pancreas with absent head in 1 patient and with increased echogenicity and decreasing exocrine function in the other patient. Additionally, hepatobiliary malformations and brain atrophy were found in 1 patient. <b><i>Conclusion:</i></b> Our 2 cases with novel <i>GATA6</i> mutations add more phenotype characteristics of <i>GATA6</i> haploinsufficiency. In agreement with an increasing number of published cases, the wide phenotypic spectrum of GATA6 diabetes syndrome should draw the attention of both pediatric endocrinologists and geneticists

Recessive mutations in PCBD1 cause a new type of early-onset diabetes

Mutations in several genes cause nonautoimmune diabetes, but numerous patients still have unclear genetic defects, hampering our understanding of the development of the disease and preventing pathogenesis-oriented treatment. We used whole-genome sequencing with linkage analysis to study a consanguineous family with early-onset antibody-negative diabetes and identified a novel deletion in PCBD1 (pterin-4 α-carbinolamine dehydratase/dimerization cofactor of hepatocyte nuclear factor 1 α), a gene that was recently proposed as a likely cause of diabetes. A subsequent reevaluation of patients with mild neonatal hyperphenylalaninemia due to mutations in PCBD1 from the BIODEF database identified three additional patients who had developed HNF1A-like diabetes in puberty, indicating early β-cell failure. We found that Pcbd1 is expressed in the developing pancreas of both mouse and Xenopus embryos from early specification onward showing colocalization with insulin. Importantly, a morpholino-mediated knockdown in Xenopus revealed that pcbd1 activity is required for the proper establishment of early pancreatic fate within the endoderm. We provide the first genetic evidence that PCBD1 mutations can cause early-onset nonautoimmune diabetes with features similar to dominantly inherited HNF1A-diabetes. This condition responds to and can be treated with oral drugs instead of insulin, which is important clinical information for these patients. Finally, patients at risk can be detected through a newborn screening for phenylketonuria