Bacterial contamination screening and interpretation for biological laboratory environments
Tài liệu tham khảo
Kelley ST, Gilbert JA: Studying the microbiology of the indoor environment. Genome Biol, 14(2):1-9.
Rook, 2010, Review series on helminths, immune modulation and the hygiene hypothesis: the broader implications of the hygiene hypothesis, Insect Sci, 126, 3
Proctor, 2017, Interactive effects of temperature, organic carbon, and pipe material on microbiota composition and Legionella pneumophila in hot water plumbing systems, Microbiome, 5, 130, 10.1186/s40168-017-0348-5
Meadow, 2014, Indoor airborne bacterial communities are influenced by ventilation, occupancy, and outdoor air source, Indoor Air, 24, 41, 10.1111/ina.12047
Korpi, 1998, Volatile compounds originating from mixed microbial cultures on building materials under various humidity conditions, Appl Environ Microbiol, 64, 2914, 10.1128/AEM.64.8.2914-2919.1998
Gilbert, 2018, Microbiology of the built environment, Nat Rev Microbiol, 16, 661-670, 10.1038/s41579-018-0065-5
Salter, 2014, Reagent and laboratory contamination can critically impact sequence-based microbiome analyses, BMC Biol, 12, 87, 10.1186/s12915-014-0087-z
Roch, 2015, Cell-based detection of microbial biomaterial contaminations, Clin Hemorheol Microcirc, 60, 51, 10.3233/CH-151939
Jimenez, 2000, Use of PCR analysis for detecting low levels of bacteria and mold contamination in pharmaceutical samples, J Microbiol Methods, 41, 259, 10.1016/S0167-7012(00)00164-0
Eisenhofer, 2019, Contamination in low microbial biomass microbiome studies: issues and recommendations, Trends Microbiol, 27, 105, 10.1016/j.tim.2018.11.003
Meadow, 2014, Bacterial communities on classroom surfaces vary with human contact, Microbiome, 2, 7, 10.1186/2049-2618-2-7
Segata, 2011, Metagenomic biomarker discovery and explanation, Genome Biol, 12, R60, 10.1186/gb-2011-12-6-r60
Knights, 2011, Bayesian community-wide culture-independent microbial source tracking, Nat Methods, 8, 761, 10.1038/nmeth.1650
Goffau, 2018, Recognizing the reagent microbiome, Nat Microbiol, 3, 851-853, 10.1038/s41564-018-0202-y
Adams, 2013, The diversity and distribution of fungi on residential surfaces, PloS One, 8, 10.1371/journal.pone.0078866
Hewitt, 2012, Office space bacterial abundance and diversity in three metropolitan areas, PloS One, 7, 10.1371/journal.pone.0037849
Oberauner, 2013, The ignored diversity: complex bacterial communities in intensive care units revealed by 16S pyrosequencing, Sci Rep, 3, 1413, 10.1038/srep01413
El Mouzan, 2018, Microbiota profile in new-onset pediatric Crohn's disease: data from a non-Western population, Gut Pathog, 10, 49, 10.1186/s13099-018-0276-3
Park, 2017, Metagenome analysis of bodily microbiota in a mouse model of alzheimer disease using bacteria-derived membrane vesicles in blood, Exp Neurobiol, 26, 369, 10.5607/en.2017.26.6.369
Xie, 2016, Distinctly altered gut microbiota in the progression of liver disease, Oncotarget, 7, 19355, 10.18632/oncotarget.8466
Metcalf, 2017, Microbiome tools for forensic science, Trends Biotechnol, 35, 814, 10.1016/j.tibtech.2017.03.006
Lax, 2017, Bacterial colonization and succession in a newly opened hospital, Sci Transl Med, 9, 10.1126/scitranslmed.aah6500
Brown, 2017, FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool, Bioinformatics, 33, 3137-3139, 10.1093/bioinformatics/btx373
Lawley, 2017, Analysis of 16S rRNA gene amplicon sequences using the QIIME software package, Methods Mol Biol, 1537, 153, 10.1007/978-1-4939-6685-1_9
Sunil Bhavsar, 2018, R software package based statistical optimization of process components to simultaneously enhance the bacterial growth, laccase production and textile dye decolorization with cytotoxicity study, PloS One, 13
Gouda, 2015, Common pitfalls in reporting the use of SPSS software, Med Princ Pract, 24, 10.1159/000381953
Ning, 2018, 439570