DataSheet1_Screening for MicroRNA combination with engineered exosomes as a new tool against osteosarcoma in elderly patients.docx

The most common primary malignant bone sarcoma is Osteogenic sarcoma (OS) which has a bimodal age distribution. Unfortunately, the treatment of OS was less effective for elderly patients than for younger ones. The study aimed to explore a new microRNA (miRNA) which can bind to combining engineered exosomes for treatment of older OS patients. Based on GSE65071 and miRNet 2.0, two up-regulated miRNAs (miR-328, miR-107) and seven down-regulated miRNAs (miR-133b, miR-206, miR-1-3p, miR-133a, miR-449a, miR-181daysay, miR-134) were selected. Next, we used FunRich software to predict the up-stream transcription factors (TFs) of differentially expressed miRNAs (DE-miRNAs). By comparing target genes predicted from DE-miRNAs with differentially expressed genes, we identified 12 down-regulated and 310 up-regulated mRNAs. For KEGG analysis, the most enriched KEGG pathway was Cell cycle, Spliceosome, and Protein digestion and absorption. By using protein-protein interactions network, topological analysis algorithm and GEPIA database, miR-449a /CCNB1 axis was identified. Experiments in vitro were conducted to confirm the results too. MiRNA-449a is down-regulated in osteosarcoma and suppresses cell proliferation by targeting CCNB1. Our findings not only reveal a novel mechanism of miR-449a /CCNB1 in OS but also had laid the groundwork for further investigation and analysis in the field of exosome engineering.</p

DataSheet_1_Identification of hub genes for early detection of bone metastasis in breast cancer.docx

BackgroundGlobally, among all women, the most frequently detected and diagnosed and the most lethal type of cancer is breast cancer (BC). In particular, bone is one of the most frequent distant metastases 24in breast cancer patients and bone metastasis arises in approximately 80% of advanced patients. Thus, we need to identify and validate early detection markers that can differentiate metastasis from non-metastasis breast cancers.MethodsGSE55715, GSE103357, and GSE146661 gene expression profiling data were downloaded from the GEO database. There was 14 breast cancer with bone metastasis samples and 8 breast cancer tissue samples. GEO2R was used to screen for differentially expressed genes (DEGs). The volcano plots, Venn diagrams, and annular heatmap were generated by using the ggplot2 package. By using the cluster Profiler R package, KEGG and GO enrichment analyses of DEGs were conducted. Through PPI network construction using the STRING database, key hub genes were identified by cytoHubba. Finally, K-M survival and ROC curves were generated to validate hub gene expression.ResultsBy GO enrichment analysis, 143 DEGs were enriched in the following GO terms: extracellular structure organization, extracellular matrix organization, leukocyte migration class II protein complex, collagen tridermic protein complex, extracellular matrix structural constituent, growth factor binding, and platelet-derived growth factor binding. In the KEGG pathway enrichment analysis, DEGs were enriched in Staphylococcus aureus infection, Complement and coagulation cascades, and Asthma. By PPI network analysis, we selected the top 10 genes, including SLCO2B1, STAB1, SERPING1, HLA-DOA, AIF1, GIMAP4, C1orf162, HLA-DMB, ADAP2, and HAVCR2. By using TCGA and THPA databases, we validated 2 genes, SERPING1 and GIMAP4, that were related to the early detection of bone metastasis in BC.Conclusions2 abnormally expressed hub genes could play a pivotal role in the breast cancer with bone metastasis by affecting bone homeostasis imbalance in the bone microenvironment.</p

Additional file 2 of Hypoxia-induced TMTC3 expression in esophageal squamous cell carcinoma potentiates tumor angiogenesis through Rho GTPase/STAT3/VEGFA pathway

Supplementary Material

Additional file 1 of Hypoxia-induced TMTC3 expression in esophageal squamous cell carcinoma potentiates tumor angiogenesis through Rho GTPase/STAT3/VEGFA pathway

Supplementary Material

Mechanism of Action and Structure–Activity Relationship of α‑Conotoxin Mr1.1 at the Human α9α10 Nicotinic Acetylcholine Receptor

α-Conotoxins (α-CTxs) can selectively target nicotinic acetylcholine receptors (nAChRs) and are important drug leads for the treatment of cancer, chronic pain, and neuralgia. Here, we chemically synthesized a formerly defined rat α7 nAChR targeting α-CTx Mr1.1 and evaluated its activity at human nAChRs. Mr1.1 was most potent at the human (h) α9α10 nAChR with a half-maximal inhibitory concentration (IC50) of 92.0 nM. Molecular dynamic simulations suggested that Mr1.1 favorably binds at the α10(+)α9(−) and α9(+)α9(−) sites via hydrogen bonds and salt bridges, stabilizing the channel in a closed conformation. Although Mr1.1 and another antagonist, α-CTx Vc1.1 share high sequence similarity and disulfide-bond framework, Mr1.1 has distinct orientations at hα9α10. Based on the Mr1.1-hα9α10 model, analogues were generated, and the more potent Mr1.1[S4Dap], antagonized hα9α10 with an IC50 of 4.0 nM. Furthermore, Mr1.1[S4Dap] displayed analgesic activity in the rat chronic constriction injury (CCI) pain model and therefore presents a promising drug candidate

Mechanism of Action and Structure–Activity Relationship of α‑Conotoxin Mr1.1 at the Human α9α10 Nicotinic Acetylcholine Receptor

α-Conotoxins (α-CTxs) can selectively target nicotinic acetylcholine receptors (nAChRs) and are important drug leads for the treatment of cancer, chronic pain, and neuralgia. Here, we chemically synthesized a formerly defined rat α7 nAChR targeting α-CTx Mr1.1 and evaluated its activity at human nAChRs. Mr1.1 was most potent at the human (h) α9α10 nAChR with a half-maximal inhibitory concentration (IC50) of 92.0 nM. Molecular dynamic simulations suggested that Mr1.1 favorably binds at the α10(+)α9(−) and α9(+)α9(−) sites via hydrogen bonds and salt bridges, stabilizing the channel in a closed conformation. Although Mr1.1 and another antagonist, α-CTx Vc1.1 share high sequence similarity and disulfide-bond framework, Mr1.1 has distinct orientations at hα9α10. Based on the Mr1.1-hα9α10 model, analogues were generated, and the more potent Mr1.1[S4Dap], antagonized hα9α10 with an IC50 of 4.0 nM. Furthermore, Mr1.1[S4Dap] displayed analgesic activity in the rat chronic constriction injury (CCI) pain model and therefore presents a promising drug candidate

Mechanism of Action and Structure–Activity Relationship of α‑Conotoxin Mr1.1 at the Human α9α10 Nicotinic Acetylcholine Receptor

α-Conotoxins (α-CTxs) can selectively target nicotinic acetylcholine receptors (nAChRs) and are important drug leads for the treatment of cancer, chronic pain, and neuralgia. Here, we chemically synthesized a formerly defined rat α7 nAChR targeting α-CTx Mr1.1 and evaluated its activity at human nAChRs. Mr1.1 was most potent at the human (h) α9α10 nAChR with a half-maximal inhibitory concentration (IC50) of 92.0 nM. Molecular dynamic simulations suggested that Mr1.1 favorably binds at the α10(+)α9(−) and α9(+)α9(−) sites via hydrogen bonds and salt bridges, stabilizing the channel in a closed conformation. Although Mr1.1 and another antagonist, α-CTx Vc1.1 share high sequence similarity and disulfide-bond framework, Mr1.1 has distinct orientations at hα9α10. Based on the Mr1.1-hα9α10 model, analogues were generated, and the more potent Mr1.1[S4Dap], antagonized hα9α10 with an IC50 of 4.0 nM. Furthermore, Mr1.1[S4Dap] displayed analgesic activity in the rat chronic constriction injury (CCI) pain model and therefore presents a promising drug candidate

Mechanism of Action and Structure–Activity Relationship of α‑Conotoxin Mr1.1 at the Human α9α10 Nicotinic Acetylcholine Receptor

α-Conotoxins (α-CTxs) can selectively target nicotinic acetylcholine receptors (nAChRs) and are important drug leads for the treatment of cancer, chronic pain, and neuralgia. Here, we chemically synthesized a formerly defined rat α7 nAChR targeting α-CTx Mr1.1 and evaluated its activity at human nAChRs. Mr1.1 was most potent at the human (h) α9α10 nAChR with a half-maximal inhibitory concentration (IC50) of 92.0 nM. Molecular dynamic simulations suggested that Mr1.1 favorably binds at the α10(+)α9(−) and α9(+)α9(−) sites via hydrogen bonds and salt bridges, stabilizing the channel in a closed conformation. Although Mr1.1 and another antagonist, α-CTx Vc1.1 share high sequence similarity and disulfide-bond framework, Mr1.1 has distinct orientations at hα9α10. Based on the Mr1.1-hα9α10 model, analogues were generated, and the more potent Mr1.1[S4Dap], antagonized hα9α10 with an IC50 of 4.0 nM. Furthermore, Mr1.1[S4Dap] displayed analgesic activity in the rat chronic constriction injury (CCI) pain model and therefore presents a promising drug candidate

Mechanism of Action and Structure–Activity Relationship of α‑Conotoxin Mr1.1 at the Human α9α10 Nicotinic Acetylcholine Receptor

α-Conotoxins (α-CTxs) can selectively target nicotinic acetylcholine receptors (nAChRs) and are important drug leads for the treatment of cancer, chronic pain, and neuralgia. Here, we chemically synthesized a formerly defined rat α7 nAChR targeting α-CTx Mr1.1 and evaluated its activity at human nAChRs. Mr1.1 was most potent at the human (h) α9α10 nAChR with a half-maximal inhibitory concentration (IC50) of 92.0 nM. Molecular dynamic simulations suggested that Mr1.1 favorably binds at the α10(+)α9(−) and α9(+)α9(−) sites via hydrogen bonds and salt bridges, stabilizing the channel in a closed conformation. Although Mr1.1 and another antagonist, α-CTx Vc1.1 share high sequence similarity and disulfide-bond framework, Mr1.1 has distinct orientations at hα9α10. Based on the Mr1.1-hα9α10 model, analogues were generated, and the more potent Mr1.1[S4Dap], antagonized hα9α10 with an IC50 of 4.0 nM. Furthermore, Mr1.1[S4Dap] displayed analgesic activity in the rat chronic constriction injury (CCI) pain model and therefore presents a promising drug candidate

pnas.2319880121 Dataset

Interstitial fluid pressure, extravasation, penetration, curvature, nanoparticles</p