A defined serum-free culture system for human long-term haematopoietic stem cells.

Long-term repopulating haematopoietic stem cells (LT-HSCs) have the ability to reconstitute the entire haematopoietic system following transplantation permanently. Despite great achievements in HSC transplantation, the limited transplantable HSC number, especially LT-HSCs, remains critical for successful transplantation and broader applications. In this study, we established a defined serum-free culture system for in vitro expansion of LT-HSCs. This culture system (E1) expanded LT-HSCs from umbilical cord blood, human mobilization peripheral blood and bone marrow. These E1-expanded HSCs reconstituted the haematopoietic and immune systems in primary and secondary transplanted mice in a short time. Better haematopoietic reconstitution was observed in secondary xenografted mice. Moreover, we obtained the comprehensive expression profile and cellular components of LT-HSCs from umbilical cord blood. Our study provides a valuable tool for LT-HSC research and may improve clinical applications of HSCs.

Molecular diagnose of a large hearing loss population from China by targeted genome sequencing.

Hereditary hearing loss is genetically heterogeneous, with diverse clinical manifestations. Here we performed targeted genome sequencing of 227 hearing loss related genes in 1027 patients with bilateral hearing loss and 520 healthy volunteers with normal hearing to comprehensively identify the molecular etiology of hereditary hearing loss in a large cohort from China. We obtained a diagnostic rate of 57.25% (588/1027) for the patients, while 4.67% (48/1027) of the patients were identified with uncertain diagnoses. Of the implicated 35 hearing loss genes, three common genes, including SLC26A4(278/588), GJB2(207/588), MT-RNR1(19/588), accounted for 85.54% (503/588) of the diagnosed cases, while 32 uncommon hearing loss genes, including MYO15A, MITF, OTOF, POU3F4, PTPN11, etc. accounted for the remaining diagnostic rate of 14.46% (85/588). Apart from Pendred syndrome, other eight types of syndromic hearing loss were also identified. Of the 64 uncertain significant variants and 244 pathogenic/likely pathogenic variants identified in the patients, 129 novel variants were also detected. Thus, the molecular etiology presented with high heterogeneity with the leading causes to be SLC26A4 and GJB2 genes in the Chinese hearing loss population. It's urgent to develop a database of the ethnicity-matched healthy population as well as to perform functional studies for further classification of uncertain significant variants.

Genome-Wide Association Identifies Risk Pathways for SAPHO Syndrome.

SAPHO syndrome is a rare chronic inflammatory disease which is characterized by the comprehensive manifestations of bone, joint, and skin. However, little is known about the pathogenesis of SAPHO syndrome. A genome-wide association study (GWAS) of 49 patients and 121 control subjects have primarily focused on identification of common genetic variants associated with SAPHO, the data were analyzed by classical multiple logistic regression. Later, GWAS findings were further validated using whole exome sequencing (WES) in 16 patients and 15 controls to identify potentially functional pathways involved in SAPHO pathogenesis. In general, 40588 SNPs in genomic regions were associated with P < 0.05 after filter process, only 9 SNPs meet the expected cut-off P-value, however, none of them had association with SAPHO syndrome based on published literatures. And then, 15 pathways were found involved in SAPHO pathogenesis, of them, 6 pathways including osteoclast differentiation, bacterial invasion of epithelial cells, et al., had strong association with skin, osteoarticular manifestations of SAPHO or inflammatory reaction based published research. This study identified aberrant osteoclast differentiation and other pathways were involved in SAPHO syndrome. This finding may give insight into the understanding of pathogenic genes of SAPHO and provide the basis for SAPHO research and treatment.

Clinical heterogeneity and intrafamilial variability of Joubert syndrome in two siblings with CPLANE1 variants.

BACKGROUND: Joubert syndrome (JBTS) is a rare genetic disorder that is characterized by midbrain-hindbrain malformations. Multiple variants in genes that affect ciliary function contribute to the genetic and clinical heterogeneity of JBTS and its subtypes. However, the correlation between genotype and phenotype has not been elucidated due to the limited number of patients available. METHODS: In this study, we observed different clinical features in two siblings from the same family. The older sibling was classified as a pure JBTS patient, whereas her younger sibling displayed oral-facial-digital defects and was therefore classified as an oral-facial-digital syndrome type VI (OFD VI) patient. Next, we performed human genetic tests to identify the potential pathogenic variants in the two siblings. RESULTS: Genetic sequencing indicated that both siblings harbored compound heterozygous variants of a missense variant (c.1067C>T, p.S356F) and a frameshift variant (c.8377_8378del, p.E2793Lfs*24) in CPLANE1 (NM_023073.3). CONCLUSION: This study reports that two novel CPLANE1 variants are associated with the occurrence of JBTS and OFD VI. These results help elucidate the intrafamilial phenotypic variability associated with CPLANE1 variants.

Disrupted intraflagellar transport due to IFT74 variants causes Joubert syndrome.

PURPOSE: Ciliopathies are a group of disorders caused by defects of the cilia. Joubert syndrome (JBTS) is a recessive and pleiotropic ciliopathy that causes cerebellar vermis hypoplasia and psychomotor delay. Although the intraflagellar transport (IFT) complex serves as a key module to maintain the ciliary structure and regulate ciliary signaling, the function of IFT in JBTS remains largely unknown. We aimed to explore the impact of IFT dysfunction in JBTS. METHODS: Exome sequencing was performed to screen for pathogenic variants in IFT genes in a JBTS cohort. Animal model and patient-derived fibroblasts were used to evaluate the pathogenic effects of the variants. RESULTS: We identified IFT74 as a JBTS-associated gene in three unrelated families. All the affected individuals carried truncated variants and shared one missense variant (p.Q179E) found only in East Asians. The expression of the human p.Q179E-IFT74 variant displayed compromised rescue effects in zebrafish ift74 morphants. Attenuated ciliogenesis; altered distribution of IFT proteins and ciliary membrane proteins, including ARL13B, INPP5E, and GPR161; and disrupted hedgehog signaling were observed in patient fibroblasts with IFT74 variants. CONCLUSION: IFT74 is identified as a JBTS-related gene. Cellular and biochemical mechanisms are also provided.

Identification of two novel pathogenic variants of PIBF1 by whole exome sequencing in a 2-year-old boy with Joubert syndrome.

BACKGROUND: Joubert syndrome (OMIM 213300) is an autosomal recessive disorder with gene heterogeneity. Causal genes and their variants have been identified by sequencing or other technologies for Joubert syndrome subtypes. CASE PRESENTATION: A two-year-old boy was diagnosed with Joubert syndrome by global development delay and molar tooth sign of mid-brain. Whole exome sequencing was performed to detect the causative gene variants in this individual, and the candidate pathogenic variants were verified by Sanger sequencing. We identified two pathogenic variants (NM_006346.2: c.1147delC and c.1054A > G) of PIBF1 in this Joubert syndrome individual, which is consistent with the mode of autosomal recessive inheritance. CONCLUSION: In this study, we identified two novel pathogenic variants in PIBF1 in a Joubert syndrome individual using whole exome sequencing, thereby expanding the PIBF1 pathogenic variant spectrum of Joubert syndrome.

De novo genome assembly of a Han Chinese male and genome-wide detection of structural variants using Oxford Nanopore sequencing.

Advances in third-generation sequencing technologies provide an opportunity to investigate the complex organizational structure of the genome and unravel the genetic mechanisms of disease and physiological traits. Here we report the sequencing and de novo assembly of a healthy male northern Han Chinese genome and detection of structural variants using only nanopore sequencing data. We performed de novo assembly after filtering the raw data. Then, we aligned the assembled contigs to the human reference genome, and visualized chromosomes plot, which illustrated the contiguity of the nanopore assembly. Additionally, genomic structural variants were detected using a structure variation detection tool with long-read sequencing data. Median coverage depth was 30-fold and the read N50 was 27,136 bp. 96.51% of reads had at least one alignment to the human reference genome. The final assembled genome was 2.85 GB in size, with an N50 contig size of 5.4 MB. We identified 20,085 structural variants. Third-generation sequencing technologies have many advantages in de novo whole-genome assembly and detection of structural variants. Our results provide reference data for disease research, and can be used as a novel population-specific dataset of structural variants to support the efficient development of personalized precision medicine.

Prevention and Control of Pathogens Based on Big-Data Mining and Visualization Analysis.

Morbidity and mortality caused by infectious diseases rank first among all human illnesses. Many pathogenic mechanisms remain unclear, while misuse of antibiotics has led to the emergence of drug-resistant strains. Infectious diseases spread rapidly and pathogens mutate quickly, posing new threats to human health. However, with the increasing use of high-throughput screening of pathogen genomes, research based on big data mining and visualization analysis has gradually become a hot topic for studies of infectious disease prevention and control. In this paper, the framework was performed on four infectious pathogens (Fusobacterium, Streptococcus, Neisseria, and Streptococcus salivarius) through five functions: 1) genome annotation, 2) phylogeny analysis based on core genome, 3) analysis of structure differences between genomes, 4) prediction of virulence genes/factors with their pathogenic mechanisms, and 5) prediction of resistance genes/factors with their signaling pathways. The experiments were carried out from three angles: phylogeny (macro perspective), structure differences of genomes (micro perspective), and virulence and drug-resistance characteristics (prediction perspective). Therefore, the framework can not only provide evidence to support the rapid identification of new or unknown pathogens and thus plays a role in the prevention and control of infectious diseases, but also help to recommend the most appropriate strains for clinical and scientific research. This paper presented a new genome information visualization analysis process framework based on big data mining technology with the accommodation of the depth and breadth of pathogens in molecular level research.

Whole exome sequencing reveals novel CEP104 mutations in a Chinese patient with Joubert syndrome.

BACKGROUND: Joubert syndrome (JS, OMIM: 213300) is a recessive developmental disorder characterized by cerebellar vermis hypoplasia and a distinctive mid-hindbrain malformation called the "molar tooth sign" on axial magnetic resonance imaging. To date, more than 35 ciliary genes have been identified as the causative genes of JS. METHODS: Whole exome sequencing was performed to detect the causative gene mutations in a Chinese patient with JS followed by Sanger sequencing. RT-PCR and Sanger sequencing were used to confirm the abnormal transcript of centrosomal protein 104 (CEP104, OMIM: 616690). RESULTS: We identified two novel heterozygous mutations of CEP104 in the proband, which were c.2364+1G>A and c.414delC (p.Asn138Lysfs*11) (GenBank: NM_014704.3) and consistent with the autosomal recessive inheritance mode. CONCLUSION: Our study reported the fourth case of JS patients with CEP104 mutations, which expands the mutation spectrum of CEP104 and elucidates the clinical heterogeneity of JS.

Deep targeted sequencing reveals the diversity of TRB-CDR3 repertoire in patients with preeclampsia.

Preeclampsia (PE) is one of the major causes of maternal and perinatal mortality worldwide. This study aimed to determine the immunological characteristics of PE patients and normal pregnancy at the T cell receptor beta-chain (TRB) level by using high-throughput sequencing. High-throughput sequencing was performed to analyze the expression of TRB-CDR3 in circulating T cells. T cells were isolated from 36 healthy pregnant women, 24 patients with severe PE, and 18 patients with moderate PE. Rearranged mRNA sequences were assigned to their germline V, D, and J counterparts, and translated into proper amino acids by the IMGT database. In general, PE samples had more TRB-CDR3 reads and types than those of normal pregnant woman in the circulation, but the mean number of TRB-CDR3 reads and unique TRB-CDR3 reads in severe group was lower than that in the moderate group. In PE patients, the V7_9 and V20_1 gene loci were more prevalent than in healthy pregnant women. In addition, 4 kinds of TRB-CDR3 peptides were found to be highly relevant to the pathogenesis of PE. Of them, peptides matched to herpes simplex virus antigen-specific T cells were much lower in PE samples.

High throughput sequencing reveals the diversity of TRB-CDR3 repertoire in patients with psoriasis vulgaris.

Psoriasis is a T cell-mediated chronic inflammatory skin disease with inflammatory cell infiltrates in the dermis and epidermis. Previous studies suggested that there are some expanded T-cell receptor (TCR) clones in psoriatic skin. However, the effect of psoriasis on the immunological characteristics of TCR in circulating blood has not been reported. To address this, we performed high-throughput sequencing to reveal the immunological characteristics of TCR beta chain (TRB) in both psoriasis patients and healthy controls. Our results revealed that the TRB-CDR3 region of psoriasis patients had distinctive immunological characteristics compared with that of healthy controls, including V gene usage, nt of N addition. In addition, three types of TRB-CDR3 peptides were found highly relevant to psoriasis. Our findings show the comprehensive characteristics of psoriasis on the TRB-CDR3 repertoire of circulating blood at sequence-level resolution. These findings may contribute to a better understanding of the pathogenesis of psoriasis and open opportunities to explore potential therapeutic targets.

High-Throughput Sequencing Reveals Immunological Characteristics of the TRB-/IgH-CDR3 Region of Umbilical Cord Blood.

OBJECTIVE: To compare the differences of immunological characteristics between newborn and adults, we performed high-throughput sequencing to reveal the diversity of umbilical cord blood and adult peripheral blood at both T-cell receptor beta chain (TRB) and immunoglobulin heavy chain (IGH) levels. STUDY DESIGN: High-throughput sequencing was performed to analyze the expression of TRB-CDR3 and IGH-CDR3 in circulating T and B cells isolated from 20 healthy adults, 56 pregnant women, and 40 newborns. RESULTS: Our results revealed different immunological characteristics between newborn and adults, such as distinctive complementarity determining region 3 (CDR3) lengths, usage bias of variable and joining segments, random nucleotide addition, a large number of unique CDR3 peptides, and a greater repertoire diversity. Moreover, each newborn had a distinctive TRB-/IGH-CDR3 repertoire that was independent of the maternal immune status. CONCLUSIONS: This study presents comprehensive, unrestricted profiles of the TRB/IGH-CDR3 repertoire of newborns, pregnant women, and healthy adults at a sequence-level resolution. Our data may contribute to a better understanding of the immune system of newborns and benefit the efficient application of umbilical cord blood transplantation in future.

GPS-MBA: computational analysis of MHC class II epitopes in type 1 diabetes.

As a severe chronic metabolic disease and autoimmune disorder, type 1 diabetes (T1D) affects millions of people world-wide. Recent advances in antigen-based immunotherapy have provided a great opportunity for further treating T1D with a high degree of selectivity. It is reported that MHC class II I-A(g7) in the non-obese diabetic (NOD) mouse and human HLA-DQ8 are strongly linked to susceptibility to T1D. Thus, the identification of new I-A(g7) and HLA-DQ8 epitopes would be of great help to further experimental and biomedical manipulation efforts. In this study, a novel GPS-MBA (MHC Binding Analyzer) software package was developed for the prediction of I-A(g7) and HLA-DQ8 epitopes. Using experimentally identified epitopes as the training data sets, a previously developed GPS (Group-based Prediction System) algorithm was adopted and improved. By extensive evaluation and comparison, the GPS-MBA performance was found to be much better than other tools of this type. With this powerful tool, we predicted a number of potentially new I-A(g7) and HLA-DQ8 epitopes. Furthermore, we designed a T1D epitope database (TEDB) for all of the experimentally identified and predicted T1D-associated epitopes. Taken together, this computational prediction result and analysis provides a starting point for further experimental considerations, and GPS-MBA is demonstrated to be a useful tool for generating starting information for experimentalists. The GPS-MBA is freely accessible for academic researchers at: http://mba.biocuckoo.org.