199 related articles for article (PubMed ID: 36377933)
1. Optimization of Low-Biomass Sample Collection and Quantitative PCR-Based Titration Impact 16S rRNA Microbiome Resolution.
Clokie BGJ; Elsheshtawy A; Albalat A; Nylund A; Beveridge A; Payne CJ; MacKenzie S
Microbiol Spectr; 2022 Dec; 10(6):e0225522. PubMed ID: 36377933
[TBL] [Abstract][Full Text] [Related]
2. Genomic and Environmental Factors Shape the Active Gill Bacterial Community of an Amazonian Teleost Holobiont.
Sylvain FÉ; Leroux N; Normandeau É; Holland A; Bouslama S; Mercier PL; Luis Val A; Derome N
Microbiol Spectr; 2022 Dec; 10(6):e0206422. PubMed ID: 36445161
[TBL] [Abstract][Full Text] [Related]
3. Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform.
Castelino M; Eyre S; Moat J; Fox G; Martin P; Ho P; Upton M; Barton A
BMC Microbiol; 2017 Jan; 17(1):23. PubMed ID: 28109256
[TBL] [Abstract][Full Text] [Related]
4. Critical Relevance of Stochastic Effects on Low-Bacterial-Biomass 16S rRNA Gene Analysis.
Erb-Downward JR; Falkowski NR; D'Souza JC; McCloskey LM; McDonald RA; Brown CA; Shedden K; Dickson RP; Freeman CM; Stringer KA; Foxman B; Huffnagle GB; Curtis JL; Adar SD
mBio; 2020 Jun; 11(3):. PubMed ID: 32518181
[TBL] [Abstract][Full Text] [Related]
5. Does the human placenta delivered at term have a microbiota? Results of cultivation, quantitative real-time PCR, 16S rRNA gene sequencing, and metagenomics.
Theis KR; Romero R; Winters AD; Greenberg JM; Gomez-Lopez N; Alhousseini A; Bieda J; Maymon E; Pacora P; Fettweis JM; Buck GA; Jefferson KK; Strauss JF; Erez O; Hassan SS
Am J Obstet Gynecol; 2019 Mar; 220(3):267.e1-267.e39. PubMed ID: 30832984
[TBL] [Abstract][Full Text] [Related]
6. Identification and removal of contaminating microbial DNA from PCR reagents: impact on low-biomass microbiome analyses.
Stinson LF; Keelan JA; Payne MS
Lett Appl Microbiol; 2019 Jan; 68(1):2-8. PubMed ID: 30383890
[TBL] [Abstract][Full Text] [Related]
7. Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling.
Fuks G; Elgart M; Amir A; Zeisel A; Turnbaugh PJ; Soen Y; Shental N
Microbiome; 2018 Jan; 6(1):17. PubMed ID: 29373999
[TBL] [Abstract][Full Text] [Related]
8. Host DNA depletion efficiency of microbiome DNA enrichment methods in infected tissue samples.
Heravi FS; Zakrzewski M; Vickery K; Hu H
J Microbiol Methods; 2020 Mar; 170():105856. PubMed ID: 32007505
[TBL] [Abstract][Full Text] [Related]
9. Refinement of 16S rRNA gene analysis for low biomass biospecimens.
Villette R; Autaa G; Hind S; Holm JB; Moreno-Sabater A; Larsen M
Sci Rep; 2021 May; 11(1):10741. PubMed ID: 34031485
[TBL] [Abstract][Full Text] [Related]
10. Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers.
Dyrhovden R; Rippin M; Øvrebø KK; Nygaard RM; Ulvestad E; Kommedal Ø
mBio; 2021 Jun; 12(3):e0059821. PubMed ID: 34101489
[TBL] [Abstract][Full Text] [Related]
11. Whole lung tissue is the preferred sampling method for amplicon-based characterization of murine lung microbiota.
Baker JM; Hinkle KJ; McDonald RA; Brown CA; Falkowski NR; Huffnagle GB; Dickson RP
Microbiome; 2021 May; 9(1):99. PubMed ID: 33952355
[TBL] [Abstract][Full Text] [Related]
12. Optimizing 16S rRNA gene profile analysis from low biomass nasopharyngeal and induced sputum specimens.
Claassen-Weitz S; Gardner-Lubbe S; Mwaikono KS; du Toit E; Zar HJ; Nicol MP
BMC Microbiol; 2020 May; 20(1):113. PubMed ID: 32397992
[TBL] [Abstract][Full Text] [Related]
13. Quantification of variation and the impact of biomass in targeted 16S rRNA gene sequencing studies.
Bender JM; Li F; Adisetiyo H; Lee D; Zabih S; Hung L; Wilkinson TA; Pannaraj PS; She RC; Bard JD; Tobin NH; Aldrovandi GM
Microbiome; 2018 Sep; 6(1):155. PubMed ID: 30201048
[TBL] [Abstract][Full Text] [Related]
14. ddPCR allows 16S rRNA gene amplicon sequencing of very small DNA amounts from low-biomass samples.
Abellan-Schneyder I; Schusser AJ; Neuhaus K
BMC Microbiol; 2021 Dec; 21(1):349. PubMed ID: 34922460
[TBL] [Abstract][Full Text] [Related]
15. Comparison of bacterial diversity and distribution on the gills of Atlantic salmon (Salmo salar L.): an evaluation of sampling techniques.
Slinger J; Adams MB; Wynne JW
J Appl Microbiol; 2021 Jul; 131(1):80-92. PubMed ID: 33326661
[TBL] [Abstract][Full Text] [Related]
16. The Impact of DNA Polymerase and Number of Rounds of Amplification in PCR on 16S rRNA Gene Sequence Data.
Sze MA; Schloss PD
mSphere; 2019 May; 4(3):. PubMed ID: 31118299
[TBL] [Abstract][Full Text] [Related]
17. Microbiota data from low biomass milk samples is markedly affected by laboratory and reagent contamination.
Dahlberg J; Sun L; Persson Waller K; Östensson K; McGuire M; Agenäs S; Dicksved J
PLoS One; 2019; 14(6):e0218257. PubMed ID: 31194836
[TBL] [Abstract][Full Text] [Related]
18. The impact of kit, environment, and sampling contamination on the observed microbiome of bovine milk.
Dean CJ; Deng Y; Wehri TC; Pena-Mosca F; Ray T; Crooker BA; Godden SM; Caixeta LS; Noyes NR
mSystems; 2024 Jun; 9(6):e0115823. PubMed ID: 38785438
[TBL] [Abstract][Full Text] [Related]
19. Decontamination of 16S rRNA gene amplicon sequence datasets based on bacterial load assessment by qPCR.
Lazarevic V; Gaïa N; Girard M; Schrenzel J
BMC Microbiol; 2016 Apr; 16():73. PubMed ID: 27107811
[TBL] [Abstract][Full Text] [Related]
20. Different next generation sequencing platforms produce different microbial profiles and diversity in cystic fibrosis sputum.
Hahn A; Sanyal A; Perez GF; Colberg-Poley AM; Campos J; Rose MC; Pérez-Losada M
J Microbiol Methods; 2016 Nov; 130():95-99. PubMed ID: 27609714
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]