Towards the biogeography of prokaryotic genes.

Microbial genes encode the majority of the functional repertoire of life on earth. However, despite increasing efforts in metagenomic sequencing of various habitats1-3, little is known about the distribution of genes across the global biosphere, with implications for human and planetary health. Here we constructed a non-redundant gene catalogue of 303 million species-level genes (clustered at 95% nucleotide identity) from 13,174 publicly available metagenomes across 14 major habitats and use it to show that most genes are specific to a single habitat. The small fraction of genes found in multiple habitats is enriched in antibiotic-resistance genes and markers for mobile genetic elements. By further clustering these species-level genes into 32 million protein families, we observed that a small fraction of these families contain the majority of the genes (0.6% of families account for 50% of the genes). The majority of species-level genes and protein families are rare. Furthermore, species-level genes, and in particular the rare ones, show low rates of positive (adaptive) selection, supporting a model in which most genetic variability observed within each protein family is neutral or nearly neutral.

SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing.

MOTIVATION: Metagenomic binning methods to reconstruct metagenome-assembled genomes (MAGs) from environmental samples have been widely used in large-scale metagenomic studies. The recently proposed semi-supervised binning method, SemiBin, achieved state-of-the-art binning results in several environments. However, this required annotating contigs, a computationally costly and potentially biased process. RESULTS: We propose SemiBin2, which uses self-supervised learning to learn feature embeddings from the contigs. In simulated and real datasets, we show that self-supervised learning achieves better results than the semi-supervised learning used in SemiBin1 and that SemiBin2 outperforms other state-of-the-art binners. Compared to SemiBin1, SemiBin2 can reconstruct 8.3-21.5% more high-quality bins and requires only 25% of the running time and 11% of peak memory usage in real short-read sequencing samples. To extend SemiBin2 to long-read data, we also propose ensemble-based DBSCAN clustering algorithm, resulting in 13.1-26.3% more high-quality genomes than the second best binner for long-read data. AVAILABILITY AND IMPLEMENTATION: SemiBin2 is available as open source software at https://github.com/BigDataBiology/SemiBin/ and the analysis scripts used in the study can be found at https://github.com/BigDataBiology/SemiBin2_benchmark.

STAB: a spatio-temporal cell atlas of the human brain.

The human brain is the most complex organ consisting of billions of neuronal and non-neuronal cells that are organized into distinct anatomical and functional regions. Elucidating the cellular and transcriptome architecture underlying the brain is crucial for understanding brain functions and brain disorders. Thanks to the single-cell RNA sequencing technologies, it is becoming possible to dissect the cellular compositions of the brain. Although great effort has been made to explore the transcriptome architecture of the human brain, a comprehensive database with dynamic cellular compositions and molecular characteristics of the human brain during the lifespan is still not available. Here, we present STAB (a Spatio-Temporal cell Atlas of the human Brain), a database consists of single-cell transcriptomes across multiple brain regions and developmental periods. Right now, STAB contains single-cell gene expression profiling of 42 cell subtypes across 20 brain regions and 11 developmental periods. With STAB, the landscape of cell types and their regional heterogeneity and temporal dynamics across the human brain can be clearly seen, which can help to understand both the development of the normal human brain and the etiology of neuropsychiatric disorders. STAB is available at http://stab.comp-sysbio.org.

mMGE: a database for human metagenomic extrachromosomal mobile genetic elements.

Extrachromosomal mobile genetic elements (eMGEs), including phages and plasmids, that can move across different microbes, play important roles in genome evolution and shaping the structure of microbial communities. However, we still know very little about eMGEs, especially their abundances, distributions and putative functions in microbiomes. Thus, a comprehensive description of eMGEs is of great utility. Here we present mMGE, a comprehensive catalog of 517 251 non-redundant eMGEs, including 92 492 plasmids and 424 759 phages, derived from diverse body sites of 66 425 human metagenomic samples. About half the eMGEs could be further grouped into 70 074 clusters using relaxed criteria (referred as to eMGE clusters below). We provide extensive annotations of the identified eMGEs including sequence characteristics, taxonomy affiliation, gene contents and their prokaryotic hosts. We also calculate the prevalence, both within and across samples for each eMGE and eMGE cluster, enabling users to see putative associations of eMGEs with human phenotypes or their distribution preferences. All eMGE records can be browsed or queried in multiple ways, such as eMGE clusters, metagenomic samples and associated hosts. The mMGE is equipped with a user-friendly interface and a BLAST server, facilitating easy access/queries to all its contents easily. mMGE is freely available for academic use at: https://mgedb.comp-sysbio.org.

Integrating Epigenetic Modulators in Nanofibers for Synergistic Gastric Cancer Therapy via Epigenetic Reprogramming.

Epigenetic dysregulations resulting from the defects of epigenetic regulators are often reversible in tumorigenesis, making them promising cancer therapeutic targets. However, the limited specificity of action, short-term stability, and low retention of the epigenetic drugs greatly impede their clinical efficacy against solid tumors. Herein a method of combinatorial delivery of epigenetic modulatory drugs via a molecular self-assembly strategy was developed using inhibitors of DNA methyltransferases and histone deacetylases. The drug-drug conjugates can self-assemble into nanofibers with enhanced chemical stability. The nanofibers synergistically regulate aberrant DNA methylation and histone deacetylation, subsequently reprogram the gene expression profiles, and finally inhibit gastric cancer cell proliferation and promote cell apoptosis. The superior in vivo therapeutic efficacy of the nanofibers could be ascribed to the prolonged retention and accumulation in tumors and the minimized off-target effects. Therefore, this design of epigenetic-drug-based nanofiber formulation may provide a valuable paradigm for cancer therapy through epigenetic reprogramming.

Multifunctional co-loaded magnetic nanocapsules for enhancing targeted MR imaging and in vivo photodynamic therapy.

Drug delivery nanocarriers based on magnetic nanoparticles have attracted increasing attention due to their potential applications in magnetic resonance imaging, photodynamic therapy and targeted drug delivery. Herein, we have fabricated the multifunctional co-loaded magnetic nanocapsules (MNCPs) using a microemulsion process for enhancing targeted magnetic resonance imaging and in vivo photodynamic therapy. MNCPs were synthesized by co-loading Co@Mn magnetic nanoparticles and chlorin e6 into the matrix of an amphiphilic polymer, and further surface covalently coupled with target molecules. This work demonstrates that MNCPs have uniform sizes (dc: ~150 nm), favorable biocompatibility, long-term stability, excellent T2 relaxation values, and high drug loading efficiency. These advantages offer MNCPs successfully applied in targeted magnetic resonance imaging, real-time fluorescent labeling, and photodynamic therapy. The research results will contribute to rationally design novel nano-platform and provide a promising approach for further clinical integration of diagnosis and treatment in the near future.

[The Distribution and Significance of Activated T Cells and Lymphocyte Subsets in Myelodysplastic Syndrome].

OBJECTIVE: To investigate the distribution of bone marrow lymphocyte subsets in patients with myelodysplastic syndrome(MDS),the proportion of activated T cells with immunophenotype CD3+HLA-DR+ in the lymphocytes and its clinical significance, and to understand the effects of different types of MDS, different immunophenotypes, and different expression levels of WT1 on the proportion of lymphocyte subsets and activated T cells. METHODS: The immunophenotypes of 96 MDS patients, the subsets of bone marrow lymphocytes and activated T cells were detected by flow cytometry. The relative expression of WT1 was detected by real-time fluorescent quantitative PCR, and the first induced remission rate (CR1) was calculated, the differences of lymphocyte subsets and activated T cells in MDS patients with different immunophenotype, different WT1 expression, and different course of disease were analyzed. RESULTS: The percentage of CD4+T lymphocyte in MDS-EB-2, IPSS high-risk, CD34+ cells >10%, and patients with CD34+CD7+ cell population and WT1 gene overexpression at intial diagnosis decreased significantly (P<0.05), and the percentage of NK cells and activated T cells increased significantly (P<0.05), but there was no significant difference in the ratio of B lymphocytes. Compared with the normal control group, the percentage of NK cells and activated T cells in IPSS-intermediate-2 group was significantly higher(P<0.05), but there was no significant difference in the percentage of CD3+T, CD4+T lymphocytes. The percentage of CD4+T cells in patients with complete remission after the first chemotherapy was significantly higher than in patients with incomplete remission(P<0.05), and the percentage of NK cells and activated T cells was significantly lower than that in patients with incomplete remission (P<0.05). CONCLUSION: In MDS patients, the proportion of CD3+T and CD4+T lymphocytes decreased, and the proportion of activated T cells increased, indicating that the differentiation type of MDS is more primitive and the prognosis is worse.

A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments.

Metagenomic binning is the step in building metagenome-assembled genomes (MAGs) when sequences predicted to originate from the same genome are automatically grouped together. The most widely-used methods for binning are reference-independent, operating de novo and enable the recovery of genomes from previously unsampled clades. However, they do not leverage the knowledge in existing databases. Here, we introduce SemiBin, an open source tool that uses deep siamese neural networks to implement a semi-supervised approach, i.e. SemiBin exploits the information in reference genomes, while retaining the capability of reconstructing high-quality bins that are outside the reference dataset. Using simulated and real microbiome datasets from several different habitats from GMGCv1 (Global Microbial Gene Catalog), including the human gut, non-human guts, and environmental habitats (ocean and soil), we show that SemiBin outperforms existing state-of-the-art binning methods. In particular, compared to other methods, SemiBin returns more high-quality bins with larger taxonomic diversity, including more distinct genera and species.

metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies.

Evaluating the quality of metagenomic assemblies is important for constructing reliable metagenome-assembled genomes and downstream analyses. Here, we present metaMIC ( https://github.com/ZhaoXM-Lab/metaMIC ), a machine learning-based tool for identifying and correcting misassemblies in metagenomic assemblies. Benchmarking results on both simulated and real datasets demonstrate that metaMIC outperforms existing tools when identifying misassembled contigs. Furthermore, metaMIC is able to localize the misassembly breakpoints, and the correction of misassemblies by splitting at misassembly breakpoints can improve downstream scaffolding and binning results.

Urinary exosomes-based Engineered Nanovectors for Homologously Targeted Chemo-Chemodynamic Prostate Cancer Therapy via abrogating EGFR/AKT/NF-kB/IkB signaling.

Multi-functional nanovectors based on exosomes from cancer cell culture supernatants in vitro has been successfully utilized for tumor-specific targeting and immune escape. However, the labor-intensive purification procedures for rich-dose and high-purity homogeneous exosomes without using targeting ligands are still a challenging task. Herein, we developed a nanovector Exo-PMA/Fe-HSA@DOX through cloaked by urinary exosome membrane as a chemo/chemodynamic theranostic nano-platform for targeted homologous prostate cancer therapy which pertain to the abrogation of Epidermal Growth Factor Receptor (EGFR) and its downstream AKT/NF-kB/IkB signaling instead of ERK signaling cascades. Urinary exosomes-based nanovectors own the same urological cancer cell membrane antigen inclusive of E-cadherin, CD 47 and are free from intracellular substance such as Histone 3 and COX Ⅳ. The targeting properties of the homologous cancer cell are well preserved in Exo-PMA/Fe-HSA@DOX nanovectors in high purity. Meanwhile, the nanovectors based on urinary exosomes from prostate patients deeply penetrated into prostate cancer DU145 3D MCTS, and successfully achieve superior synergistic low-dose chemo/chemodynamic performance in vivo. In addition, the blockage of bypassing EGFR/AKT/NF-kB/IkB signaling pathway is greatly enhanced via elevated intracellular PMA/Fe-HSA@DOX nanoparticles (NPs). It is expected that the rich source and high purity of urinary exosomes offer a reliable solution for mass production of such nanovectors in the future. The targeted homologous cancer therapy based on the urinary exosomes from cancer patients exemplifies a novel targeted anticancer scheme with efficient and facile method.

Plant DNA polymerases α and δ mediate replication of geminiviruses.

Geminiviruses are causal agents of devastating diseases in crops. Geminiviruses have circular single-stranded (ss) DNA genomes that are replicated in the nucleus of the infected plant cell through double-stranded (ds) DNA intermediates by the plant DNA replication machinery. Which host DNA polymerase mediates geminiviral multiplication, however, has so far remained elusive. Here, we show that subunits of the nuclear replicative DNA polymerases α and δ physically interact with the geminivirus-encoded replication enhancer protein, C3, and that these polymerases are required for viral replication. Our results suggest that, while DNA polymerase α is essential to generate the viral dsDNA intermediate, DNA polymerase δ mediates the synthesis of new copies of the geminiviral ssDNA genome, and that the virus-encoded C3 may act selectively, recruiting DNA polymerase δ over ε to favour productive replication.

Macrel: antimicrobial peptide screening in genomes and metagenomes.

MOTIVATION: Antimicrobial peptides (AMPs) have the potential to tackle multidrug-resistant pathogens in both clinical and non-clinical contexts. The recent growth in the availability of genomes and metagenomes provides an opportunity for in silico prediction of novel AMP molecules. However, due to the small size of these peptides, standard gene prospection methods cannot be applied in this domain and alternative approaches are necessary. In particular, standard gene prediction methods have low precision for short peptides, and functional classification by homology results in low recall. RESULTS: Here, we present Macrel (for metagenomic AMP classification and retrieval), which is an end-to-end pipeline for the prospection of high-quality AMP candidates from (meta)genomes. For this, we introduce a novel set of 22 peptide features. These were used to build classifiers which perform similarly to the state-of-the-art in the prediction of both antimicrobial and hemolytic activity of peptides, but with enhanced precision (using standard benchmarks as well as a stricter testing regime). We demonstrate that Macrel recovers high-quality AMP candidates using realistic simulations and real data. AVAILABILITY: Macrel is implemented in Python 3. It is available as open source at https://github.com/BigDataBiology/macrel and through bioconda. Classification of peptides or prediction of AMPs in contigs can also be performed on the webserver: https://big-data-biology.org/software/macrel.

Targeted theranostics of lung cancer: PD-L1-guided delivery of gold nanoprisms with chlorin e6 for enhanced imaging and photothermal/photodynamic therapy.

Peptide modified nanoparticles have emerged as powerful tools for enhanced cancer diagnosis and novel treatment strategies. Here, human programmed death-ligand 1 (PD-L1) peptides were used for the first time for the modification of gold nanoprisms (GNPs) to enhance targeting efficiency. A multifunctional nanoprobe was developed that the GNPs@PEG/Ce6-PD-L1 peptide (GNPs@PEG/Ce6-P) was used for imaging-guided photothermal/photodynamic therapy by using the targeting effect of PD-L1. Both confocal imaging and flow cytometry experiments demonstrated a remarkable affinity of the as-prepared nanoprobes GNPs@PEG/Ce6-P to lung cancer cells (HCC827), which have a high PD-L1 expression. Subsequent in vitro and in vivo experiments further demonstrated that the nanoprobes GNPs@PEG/Ce6-P not only allowed for real-time visualization via fluorescence (FL) imaging and photoacoustic (PA) imaging, but also served as phototherapy agents for synergistic photothermal therapy (PTT) and photodynamic therapy (PDT). Furthermore, treatments on human lung cancer cells-derived tumors demonstrated that the nanoprobes GNPs@PEG/Ce6-P could significantly suppress tumor growth through PTT and PDT from GNPs and Ce6, respectively. In conclusion, the as-prepared new nanoprobes show promising potential for nanomedicine with remarkable targeting ability for dual-mode imaging and enhanced PDT and PTT effects on lung cancer.

Passion fruit-like exosome-PMA/Au-BSA@Ce6 nanovehicles for real-time fluorescence imaging and enhanced targeted photodynamic therapy with deep penetration and superior retention behavior in tumor.

Exosomes (Exos) of approximately 30-150 nm in diameters are the promising vehicles for therapeutic drugs. However, several challenges still exist in clinical applications, such as unsatisfied yield of exosomes, complicated labeling procedure and low drug loading efficiency. In this work, the gram-scale amount of high-purity urinary exosomes can be obtained from gastric cancer patients by non-invasive method. Passion fruit-like Exo-PMA/Au-BSA@Ce6 nanovehicles were fabricated by considerable freshly-urinary Exos loaded efficiently with multi-functionalized PMA/Au-BSA@Ce6 nanoparticles via instant electroporation strategy. In this system, prepared Exo-PMA/Au-BSA@Ce6 nanovehicles could be internalized into cancer cells effectively, and could delay the endocytosis of macrophages and prolong blood circulation time owing to its membrane structure and antigens. Under 633 nm laser irradiation and acidic condition, the structures of nanovehicles would be collapsed and tremendous PMA/Au-BSA@Ce6 nanoparticles could be released inside cancer cells, produced considerable singlet oxygen, inhibiting growth of tumor cells. In vivo experiment of MGC-803 tumor-bearing nude mice showed that prepared Exo-PMA/Au-BSA@Ce6 nanovehicles could target tumor cells with deep penetration and superior retention performance in tumors. This work reports a reliable conjugation-free labeling strategy for tracking exosomes harvested from human urine. Moreover, the integration of multifunctional nanoparticles with urinary Exos paves a versatile road for the development of cancer-targeted photodynamic therapy.

A modular approach for cytosolic protein delivery: metal ion-induced self-assembly of gold nanoclusters as a general platform.

We developed a versatile and modular method for cytosolic protein delivery through metal ion-induced co-assembly of gold nanoclusters and proteins into supramolecular assemblies. The versatility and high efficiency of this strategy to assemble and deliver various proteins into living cells were demonstrated. Importantly, the activity of proteins was maintained during the delivery. This modular approach provides an exciting and promising new nano-platform for cytosolic protein delivery.

Effects of gold nanoprism-assisted human PD-L1 siRNA on both gene down-regulation and photothermal therapy on lung cancer.

Gold nanoprisms (GNPs) have been broadly studied for the potential applications in both imaging and treatment on tumors due to their special characteristics. Herein we reported that a new nanoplatform GNPs@PSS/PDADMAC-siRNA (GNPs-siRNA) was designed and fabricated by sequentially coating the GNPs with poly (sodium 4-styrenesulfonate) (PSS) and poly (-diallyldimethylammonium chloride) (PDADMAC) to carry small interfering RNA (siRNA). Human program death-ligand 1 (PD-L1) was recently known to be crucial for cancer cell survival through the intrinsic signaling activities, besides serving as an important checkpoint gene in immune system. We successfully attached the human PD-L1 siRNA to the surface of GNPs@PSS/PDADMAC to obtain the GNPs-hPD-L1 siRNA nanoplatform. Real Time Cellular Analysis (RTCA) assay demonstrated that GNPs-hPD-L1 siRNA exhibited remarkable capacity to inhibit the proliferation of human lung cancer cells. Subsequent in vitro and in vivo experiments verified that the GNPs-hPD-L1 siRNA not only functioned as a carrier for siRNA delivery to down-regulate the hPD-L1 expression, but also served for photoacoustic (PA) imaging and photothermal agents for photothermal therapy (PTT) in both human lung cancer cells and human lung cancer cells-derived tumors. Our findings could be expected to provide an innovative direction for future clinical transformation application. STATEMENT OF SIGNIFICANCE: To our knowledge, this is the first paper related to the hPD-L1 siRNA delivery combined with the gold nanoparticles, especially the gold nanoprisms. The as-prepared GNPs-hPD-L1 siRNA nanoplatform not only functioned as a carrier for siRNA delivery to down-regulate the PD-L1 expression, but also acted as photothermal agents for theranostic effects in both human lung cancer cells and human lung cancer cells-derived tumors. The as-prepared GNPs-hPD-L1 siRNA nanoplatform could knock down human PD-L1 gene expression, which caused the inhibition on proliferation of human lung cancer cell in vitro or in vivo. The as-prepared GNPs-hPD-L1 siRNA nanoplatform possessed excellent photoacoustic imaging ability and photothermal therapy effects.

Carbon-gold hybrid nanoprobes for real-time imaging, photothermal/photodynamic and nanozyme oxidative therapy.

Rationale: Recently, there is one-fifth of human deaths caused by cancer, leading to cancer treatment remains a hard nut to crack in the medical field. Therefore, as an emerging diagnostic technology, mesoporous nanomaterials-based drug delivery systems integrated diagnosis and therapy have aroused tremendous interest owing to visually targeting effect and superior therapy efficacy compared with traditional cancer treatment. Methods: In this work, we have successfully synthesized mesoporous carbon-gold hybrid nanozyme nanoprobes, whereby mesoporous carbon nanospheres were doped with small gold nanoparticles (OMCAPs) and further stabilized with a complex of reduced serum albumin and folic acid (rBSA-FA). After loading IR780 iodide, the OMCAPs@ rBSA-FA@IR780 nanoprobes were finally accomplished for real-time imaging, photothermal/photodynamic and nanozyme oxidative therapy. Results: Herein, acid oxidized MCAPs possessed large surface area and numerous -COOH groups, which could be used to surface chemically modify numerous targeting molecules and load abundant NIR dye IR780, as well as be acted as photothermal reagents to enhance photothermal therapy effect. In addition, the small Au NPs embedded in OMCAPs were utilized as nanozyme to catalyze H2O2 located in tumor cells to generate ·OH for intracellular oxidative damage of tumor. Besides, as a commonly used near-infrared (NIR) fluorescence dye, the loaded IR780 iodide could not only apply for real-time imaging, but also effectively enhance photo-thermal therapy (PTT) upon the 808 nm laser irradiation. Moreover, FA molecules could enhance the targeted efficiency of the nanoprobes to the gastric tumor site. According to the systematical study in vitro and in vivo, our fabricated nanoprobes based on carbon-gold hybrid (OMCAPs@ rBSA-FA@IR780) revealed excellent tumor targeting efficacy, long tumor retention and favorably therapeutic effect for tumor. Conclusion: All the results demonstrated that here synthesized probes exhibited excellently diagnostic and therapeutic performance, indicating our technology may potentially offer an outstanding strategy for tumor-targeting theranostics.

Impact of Short-Term Exposure of AuNCs on the Gut Microbiota of BALB/c Mice.

The widespread application of nanoparticles causes extensive public concern on their biological safety. However, up to date, few reports have been associated with the impact of metal nanoparticles on gut microbiota in vivo. In this study, gold nanoclusters (AuNCs) were orally administered to BALB/c mice for 7 days, and the dynamic effects of AuNCs on gut microbiota were investigated at 0 h, 4 h, 8 h, 1 d, 3 d and 7 d, respectively. Using high-throughput sequencing of V4-V5 regions of the 16S rRNA gene on the Illumina MiSeq platform, we found that gavage of AuNCs did not significantly change the gut microbiota diversity and community at the initial 3 days. Bacteroidetes, Firmicutes, Proteobacteria, Deferribacteres, Tenericutes and Actinobacteria were the six most abundant phylum in the control and AuNCs groups. However, the phylum Proteobacteria was significantly increased by AuNCs at 7 d (P < 0.05). At the genus level, Roseburia were notably decreased while Staphylococcus, Ureaplasma and Methylobacterium were dramatically increased by AuNCs at 7 d (P < 0.05). Taken together, gavage of AuNCs shifted the bacterial composition at 7 d. This is the first research to investigate the toxicity of AuNCs from the perspective of gut microbiota and opens up a new avenue for the safety or toxicity evaluation of AuNCs.

Human natural killer cells for targeting delivery of gold nanostars and bimodal imaging directed photothermal/photodynamic therapy and immunotherapy.

OBJECTIVE: To construct a novel nanoplatform GNS@CaCO3/Ce6-NK by loading the CaCO3-coated gold nanostars (GNSs) with Chlorin e6 molecules (Ce6) into human peripheral blood mononuclear cells (PBMCs)-derived NK cells for tumor targeted therapy. METHODS: GNS@CaCO3/Ce6 nanoparticles were prepared and characterized by TEM and UV-vis. The cell surface markers and cytokines secretion of NK cells before and after loading the GNS@CaCO3/Ce6 nanoparticles were detected by Flow Cytometry (FCM) and ELISA. Effects of the GNS@CaCO3/Ce6-NK cells on A549 cancer cells was determined by FCM and CCK-8. Intracellular fluorescent signals of GNS@CaCO3/Ce6-NK cells were detected via Confocal laser scanning microscopic (CLSM) and FCM at different time points. Intracellular ROS generation of GNS@CaCO3/Ce6-NK cells under laser irradiation were examined by FCM. The distribution of GNS@CaCO3/Ce6-NK in A549 tumor-bearing mice were observed by fluorescence imaging and PA imaging. The combination therapy of GNS@CaCO3/Ce6-NK under laser irradiation were investigated on tumor-bearing mice. RESULTS: The coated CaCO3 shell on the surface of GNSs exhibited prominent delivery and protection effect of Ce6 during the cellular uptake process. The as-prepared multifunctional GNS@CaCO3/Ce6-NK cells possessed bimodal functions of fluorescence imaging and photoacoustic imaging. The as-prepared multifunctional GNS@CaCO3/Ce6-NK cells could actively target tumor tissues with the enhanced photothermal/photodynamic therapy and immunotherapy. CONCLUSIONS: The GNS@CaCO3/Ce6-NK shows effective tumor-targeting ability and prominent therapeutic efficacy toward lung cancer A549 tumor-bearing mice. Through fully utilizing the features of GNSs and NK cells, this new nanoplatform provides a new synergistic strategy for enhanced photothermal/photodynamic therapy and immunotherapy in the field of anticancer development in the near future.

[Expression of CD19 and CD56 in AML Patients with RUNX1-RUNX1T1 Mutation and Its Clinical Significance].

OBJECTIVE: To investigate the clinical significance of RUNX1-RUNX1T1 expression level in bone marrow of patients with acute non-M3 myeloid leukemia (AML non-M3), and to understand the biological characteristics of RUNX1-RUNX1T1 positive AML expressing lymphoid antigens CD19, CD56 and its effect on the initially induced remission rate and prognosis. METHODS: The expression level of RUNX1-RUNX1T1 in bone marrow of 200 patients with newly diagnosed AML (non-M3) was detected by real-time fluorescent Q-PCR, the expression level of lymphoid antigens was detected by flow cytometry, and the relationship of the initially induced remission rate (CR1) with the overall survival (OS) rate was analyzed, the CR1 and OS differences also were analyzed between CD56+ and CD56- patients as well as CD19+ and CD17- patients in RUNX1-RUNX1T1 positive patients with AML. RESULTS: The CD56+ patients at the initial diagnosis had lower CR1(P<0.05) in RUNX1-RUNX1T1 positive AML patients, the CR1 of CD19+ patients was higher than that in CD19- patients at the initial diagnosis (P<0.05). The OS of CD56+ patients was significantly high in comparison with CD56- patients (P<0.05), while the OS between CD19+ patients and CD19- patients was not significantly different. CONCLUSION: The bone marrow CD56+ in RUNX1-RUNX1T1 positive AML patients suggests poor prognosis. The CD19+ only correlates with CR1, but does not with OS.