Journal: BMC Biology

Article Title: A systematic sequencing-based approach for microbial contaminant detection and functional inference

doi: 10.1186/s12915-019-0690-0

Figure Lengend Snippet: Overall structure of the proposed pipeline and results of the performance assessment. a Schematic representation of the proposed pipeline that executes rigorous read alignment with a large-scale genome database. b FDR distribution in the reversion tests considering falsely mapped reads to other species or to other genera. Particular genera, including Raoultella , Shigella , and Kluyvera , are difficult to distinguish genomically. c Comparative analysis for the effects of uniq-genus-hits and weighted multi-genera-hits in quantification. “Total mapped” represents the sum of uniq-genus-hits (Unique and Unambiguous) and multi-genera-hits (Multiple and Ambiguous). “Weighted” represents the adjusted “Total mapped” by our scoring scheme. d Correlations between the detection quantification and spike-in concentration assayed by DNA-seq (0-day cultured hPDL-MSCs with antibiotics). e RPMH differences among three NGS protocols in Mycoplasma spike-in detections (3-day cultured hPDL-MSCs)

Article Snippet: We performed the same analysis by incorporating the Myco(+) human bone marrow MSCs (hBM-MSCs) used in Fig. a and Myco(−) hBM-MSCs (GSE90273).

Techniques: Concentration Assay, DNA Sequencing, Cell Culture

Journal: BMC Biology

Article Title: A systematic sequencing-based approach for microbial contaminant detection and functional inference

doi: 10.1186/s12915-019-0690-0

Figure Lengend Snippet: Results of the Mycoplasma prevalence analysis and the functional impacts on host cells. a Twenty-two out of 432 public RNA-seq datasets contained significant Mycoplasma -mapped reads (red-colored bar) that were normalized to RPMHs (blue-colored line); the x -axis labels are colored black for DRA001846, gray for IHBM2, blue for ENCODE, and red for Mycoplasma -positive samples. b Gene expression correlation plots between Mycoplasma -positive (Myco+) and Mycoplasma -negative (Myco-) MSCs; Myco(+) hPDL-MSCs are Mycoplasm a spike-in cells (2000 CFU × 7 species, 3 days cultured without antibiotics), FPKMs were transformed onto the log 10 scale by adding one, and the black-labeled genes are the 13 genes listed in d . c Highly enriched Gene Ontology terms and Reactome pathways ( q value after Bonferroni correction < 0.001). d Venn diagram showing unique or shared differentially upregulated genes (DUGs) in MSCs, including 13 out of 967 DUGs unique to Myco(+) MSCs. e Expression levels of the 13 genes in Myco(+) ESCs and MSCs; the values are expressed as relative TPM (transcripts per million)

Article Snippet: We performed the same analysis by incorporating the Myco(+) human bone marrow MSCs (hBM-MSCs) used in Fig. a and Myco(−) hBM-MSCs (GSE90273).

Techniques: Functional Assay, RNA Sequencing, Gene Expression, Cell Culture, Transformation Assay, Labeling, Expressing

Journal: BMC Biology

Article Title: A systematic sequencing-based approach for microbial contaminant detection and functional inference

doi: 10.1186/s12915-019-0690-0

Figure Lengend Snippet: Inference of DUGs associated with multiple contaminants in Myco(+) DG75 samples. a Expression profile of 967 DUGs unique to Myco(+) MSCs. b Contamination profile with MSC, ESC, and DG-75 samples; the x -axis labels are colored black for Myco(−) and red for Myco(+). c Schematic representation of module identification from two input profiles by the jNMF algorithm. d An example showing the module that captured genes and contaminants co-elevated in a DG-75 sample. e Network representation of the association between genes and contaminants co-elevated in the seven DG-75 samples; GO:0010941 is the enriched GO term in the genes found in at least four DG-75 samples ( p = 3.76e−3). f Expression profiles of the 33 genes involved in the biological process “regulation of cell death”, DG75_1 (GSM1197380), DG75_2 (GSM1197385), DG75_3 (GSM1197386), DG75_4 (GSM1197381), DG75_5 (GSM1197382), DG75_6 (GSM1197383), DG75_7 (GSM1197384), NB_1 (GSM2225743), and NB_2 (GSM2225744)

Article Snippet: We performed the same analysis by incorporating the Myco(+) human bone marrow MSCs (hBM-MSCs) used in Fig. a and Myco(−) hBM-MSCs (GSE90273).

Techniques: Expressing

Journal: International Journal of Nanomedicine

Article Title: Drug Delivery to the Bone Microenvironment Mediated by Exosomes: An Axiom or Enigma

doi: 10.2147/IJN.S307843

Figure Lengend Snippet: Patents Related to the Diagnostic and Therapeutic Application of Exosomes Towards Bone Disorders

Article Snippet: Bone marrow-derived mesenchymal stem cells (BM-MSCs) and Adipose-derived stem cells (ASCs) , WO2019139762A1 , Zen-Bio, Inc. (US) , Exosome compositions and use thereof for joint disorders and diseases , Filed on 2018/Status pending.

Techniques: Diagnostic Assay, Biomarker Discovery, Derivative Assay, CRISPR, Isolation, Injection, Clinical Proteomics