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gene expression omnibus geo accession number gse295991  (Biotechnology Information)

 
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    Biotechnology Information gene expression omnibus geo accession number gse295991
    Gene Expression Omnibus Geo Accession Number Gse295991, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Article Title: Strain diversity of plant‐associated Lactiplantibacillus plantarum
    Article Snippet: The MLST DNA sequences can be found in the National Center for Biotechnology Information (BankIt) under gene accession numbers MT864201–MT864291 and MT880889–MT880901.

    Article Title: Highly Divergent Methyltransferases Catalyze a Conserved Reaction in Tocopherol and Plastoquinone Synthesis in Cyanobacteria and Photosynthetic Eukaryotes
    Article Snippet: Unless indicated otherwise, all gene accession numbers are from National Center for Biotechnology Information.

    Article Title: Highly Divergent Methyltransferases Catalyze a Conserved Reaction in Tocopherol and Plastoquinone Synthesis in Cyanobacteria and Photosynthetic Eukaryotes
    Article Snippet: Accession Numbers Unless indicated otherwise, all gene accession numbers are from National Center for Biotechnology Information.

    Article Title: Convergent evolution of antiviral machinery derived from endogenous retrovirus truncated envelope genes in multiple species
    Article Snippet: All other sequences were obtained from the National Center for Biotechnology Information, with the following gene accession numbers: human (NM_001859.4), chimpanzee (XM_520197.6), bonobo (XM_003833052.3), gorilla (XM_019033403.2), rhesus macaque (NM_001257506.1), crab-eating macaque (XM_005581024.2), green monkey (XM_007968369.2), cat (XM_023242310.1), dog (XM_038682637.1), cattle (NM_001100381.1), mouse (NM_175090.4), golden hamster (XM_040757395.1), and guinea pig (XM_003463793.4).

    Article Title: Genomic Tools for Customized Recovery and Detection of Foodborne Shiga Toxigenic Escherichia coli
    Article Snippet: Genomic antimicrobial resistance (AMR) prediction tools have the potential to support foodborne illness outbreak investigations through their application in the analysis of bacterial genomes from causative strains.. The AMR marker profile of a strain of interest, initially identified in outbreak-associated clinical samples, may serve as the basis for customization of selective enrichment media, facilitating its recovery from samples in a food safety investigation.. Different possibilities for AMR analyses include the use of comprehensive AMR gene databases such as the Comprehensive Antibiotic Resistance Database, which can be mined with in-house bioinformatics alignment tools (e.g., Antimicrobial Resistance Marker Identifier), or publicly available tools based on clinically relevant acquired AMR gene databases (e.g., ResFinder).

    Article Title: The Osmoprotectant Switch of Potassium to Compatible Solutes in an Extremely Halophilic Archaea Halorubrum kocurii 2020YC7
    Article Snippet: All the gene accession numbers mentioned in the text are available through the National Center for Biotechnology Information databases and listed in .

    Article Title: Identification of signaling pathways in macrophage exposed to Porphyromonas gingivalis or to its purified cell wall components.
    Article Snippet: The National Center for Biotechnology Information gene accession numbers of selected genes that were analyzed are as follows: TSLP (NM_033035), CXCL3 (NM_002090), PTGS2 (NM_000963), PTX3 (NM_002852), IL12B (NM_002187), CXCL1 (NM_001511), CXCL10 (NM_001565), CCL20 (NM_004591), IL1B (NM_000576), TNF (NM_000594), IFN- (NM_002176), SOCS1 (NM_003745), IRF7 (NM_004031), CXCL11 (NM_005409), IFIT1 (NM_001001887), IFIT2 (NM_001547), OASL (NM_003733), USP18 (NM_017414), ACSL4 (NM_022977), PBEF1 (NM_005746), and MAML2 (NM_032427).



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    Volcano plots illustrating the distribution of upregulated and downregulated DEGs for GSE207744 dataset comparing lesional vs non-lesional. Red and green dots represent statistically significant upregulated and downregulated genes, respectively.

    Journal: Bioinformation

    Article Title: Identification of Hub genes in melasma using integrated transcriptomic analysis

    doi: 10.6026/973206300220001

    Figure Lengend Snippet: Volcano plots illustrating the distribution of upregulated and downregulated DEGs for GSE207744 dataset comparing lesional vs non-lesional. Red and green dots represent statistically significant upregulated and downregulated genes, respectively.

    Article Snippet: After conducting a comprehensive search, the Gene Expression Omnibus (GEO) dataset accession numbers GSE207744 , GSE227015 , and GSE185308 were chosen from the National Center for Biotechnology Information (NCBI) [ ].

    Techniques: