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Enterococcus faecalis

Enterococcus faecalis is a Gram-positive, facultatively anaerobic bacterium commonly found in the human gastrointestinal tract.
It is a leading cause of nosocomial infections and has developed resistance to many antibiotics, making it a significant public health concern.
Researching E. faecalis is crucial for understanding its virulence factors, pathogenesis, and potential treatment strategies.
PubCompare.ai's innovative tools can help optimize this research by locating reproducible, accurate findings from literature, preprints, and patents, and identifying the best protocols and products using AI-driven analysis.
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Most cited protocols related to «Enterococcus faecalis»

1
Mock Community DNA Preparation
A single aliquot of the mock community was used throughout the sequencing effort analyzed in this study. This mock community represented 21 strains distributed among members of the Bacteria (n = 20) and Archaea (n = 1). Among the 20 bacterial sequences, there were 6 phyla, 10 classes, 12 orders, and 18 families and genera. The aliquot of mock community DNA was prepared by mixing genomic DNA from Acinetobacter baumanii (NC_009085), Actinomyces odontolyticus (DS264586), Bacillus cereus (AE017194), Bacteroides vulgatus (NC_009614), Clostridium beijerinckii (NC_009617), Deinococcus radiodurans (NC_001263), Enterococcus faecalis (NC_004668), Escherichia coli (NC_000913), Helicobacter pylori (NC_000915), Lactobacillus gasseri (NC_008530), Listeria monocytogenes (NC_003210), Neisseria meningitidis (NC_003112), Propionibacterium acnes (NC_006085), Pseudomonas aeruginosa (NC_002516), Rhodobacter sphaeroides (NC_007493, NC_007494), Staphylococcus aureus (NC_007793), Staphylococcus epidermidis (NC_004461), Streptococcus agalactiae (NC_004116), Streptococcus mutans (NC_004350), Streptococcus pneumoniae (NC_003028), and Methanobrevibacter smithii (NC_009515). Given the low homology between the three PCR primer pairs and the M. smithii 16S rRNA gene sequence, these sequences were rarely observed and have been omitted from the analysis of this study. The proportions of genomic DNAs added were calculated to have an equal number of 16S rRNA genes represented for each species; however, the original investigators did not verify the final relative abundances.
Schloss P.D., Gevers D, & Westcott S.L. (2011). Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies. PLoS ONE, 6(12), e27310.
Publication 2011
Acinetobacter Archaea Bacillus cereus Bacteria Bacteroides vulgatus Clostridium beijerinckii Deinococcus radiodurans DNA Enterococcus faecalis Escherichia coli Genes Genome Helicobacter pylori Lactobacillus gasseri Listeria monocytogenes Methanobrevibacter Neisseria meningitidis Oligonucleotide Primers Propionibacterium acnes Pseudomonas aeruginosa Rhodobacter sphaeroides Ribosomal RNA Genes RNA, Ribosomal, 16S Schaalia odontolytica Staphylococcus aureus Staphylococcus epidermidis Strains Streptococcus agalactiae Streptococcus mutans Streptococcus pneumoniae
2
ResFinder 4.0: Comprehensive AMR Database
ResFinder 4.0 contains four databases including AMR genes (ResFinder), chromosomal gene mutations mediating AMR (PointFinder), translation of genotypes into phenotypes and species-specific panels for in silico antibiograms. The databases of ResFinder15 (link) and PointFinder16 (link) were reviewed by experts and, when necessary, entries were removed or added. Furthermore, the PointFinder database was extended to include chromosomal gene mutations leading to ampicillin resistance in Enterococcus faecium, ciprofloxacin resistance in E. faecium and Enterococcus faecalis, and resistance to cefoxitin, chloramphenicol, ciprofloxacin, fusidic acid, linezolid, mupirocin, quinupristin–dalfopristin, rifampicin and trimethoprim in Staphylococcus aureus. The genotype-to-phenotype tables were created by experts, by using additional databases (www.bldb.eu for β-lactam resistance genes,18 (link)  http://faculty.washington.edu/marilynr/ for tetracycline as well as macrolide, lincosamide, streptogramin and oxazolidinone resistance genes) and by performing extensive literature searches. In the genotype-to-phenotype tables, the ResFinder and PointFinder entries have been associated with an AMR phenotype both at the antimicrobial class and at the antimicrobial compound level. A selection of antimicrobial compounds within each class was made to include antimicrobial agents important for clinical and surveillance purposes for the different bacterial species included (Table S1, available as Supplementary data at JAC Online). The genotype-to-phenotype tables also include: (i) the PubMed ID of relevant literature describing the respective AMR determinants and phenotypes, when available; (ii) the mechanism of resistance by which each AMR determinant functions; and (iii) notes, which may contain different information such as warnings on variable expression levels (inducible resistance, cryptic genes in some species, etc.), structural and functional information, and alternative nomenclature.
Bortolaia V., Kaas R.S., Ruppe E., Roberts M.C., Schwarz S., Cattoir V., Philippon A., Allesoe R.L., Rebelo A.R., Florensa A.F., Fagelhauer L., Chakraborty T., Neumann B., Werner G., Bender J.K., Stingl K., Nguyen M., Coppens J., Xavier B.B., Malhotra-Kumar S., Westh H., Pinholt M., Anjum M.F., Duggett N.A., Kempf I., Nykäsenoja S., Olkkola S., Wieczorek K., Amaro A., Clemente L., Mossong J., Losch S., Ragimbeau C., Lund O, & Aarestrup F.M. (2020). ResFinder 4.0 for predictions of phenotypes from genotypes. Journal of Antimicrobial Chemotherapy, 75(12), 3491-3500.
Publication 2020
Antibiogram Bacteria Cefoxitin CFC1 protein, human Chloramphenicol Chromosomes Ciprofloxacin Enterococcus faecalis Enterococcus faecium Faculty fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether Fusidic Acid Genes Genotype Lactams Lincosamides Linezolid Macrolides Microbicides Mupirocin Mutation Oxazolidinones Phenotype quinupristin-dalfopristin Rifampin Staphylococcus aureus Streptogramins Tetracycline Trimethoprim
3
Efficient CRISPR-mediated Genome Editing in Yeast
The codon‐optimized genes, encoding the pyruvate dehydrogenase complex and lipoate‐protein ligase from Enterococcus faecalis, were ordered from GenScript (sequences can be found in Supporting information, Table S5). The genes encoding ATP‐dependent citrate lyase and the mitochondrial citrate transport protein, were amplified from the genomic DNA of Yarrowia lipolytica DSM‐8218, obtained from the DSMZ collection (www.dsmz.de). All of the primers, biobricks and plasmids constructed and used in this study can be found in Supporting information, Tables S1–S3.
The EasyClone‐MarkerFree vectors were created by amplifying the EasyClone 2.0 vectors 6 with primers that were designed to attach to either side of the selection markers, creating a fragment that no longer contained the marker. These fragments were then ligated to form the marker‐less vectors. Seven of the resulting vectors (named ”Intermediate vectors“ in Table S3) contained PAM sites in the integration regions, which were removed by site‐directed mutagenesis using the QuikChange II XL Site‐Directed Mutagenesis Kit (Agilent Technologies) according to the manufacturers' protocol.
gRNA cassettes targeting particular integration loci (chromosomal coordinates can be found in Supporting information, Table S4) were ordered as double‐stranded gene blocks from IDT DNA. These cassettes were amplified using primers 10525(TJOS‐62 [P1F]) and 10529(TJOS‐65 [P1R]) and USER‐cloned into pCfB2926 (pTAJAK‐71) 15 to give single gRNA helper vectors. For construction of triple gRNA helper vectors, three gRNA cassettes were amplified using three primer pairs (10525(TJOS‐62 [P1F]) and 10530(TJOS‐66 [P2R]) for the first, 10526(TJOS‐63 [P2F]) and 10531(TJOS‐67 [P3R]) for the second, and 10527(TJOS‐64 [P3F]) and 10529(TJOS‐65 [P1R]) for the third gRNA cassette) and cloned into pCfB2926 (p‐TAJAK‐71) 15. Single gRNA helper vectors for Ethanol Red were constructed by PCR amplification of the template plasmid pCfB3041 using primers indicated in Supporting information, Table S1 as described in 17. All of the cloning steps for creating gRNA helper vectors and EasyClone‐MarkerFree vectors were performed in E. coli. Correct cloning was confirmed by Sanger sequencing.
For expression of the Cas9 gene we used an episomal vector pCfB2312 with CEN‐ARS replicon and KanMX resistance marker 17.
The EasyClone‐MarkerFree vectors for expression of fluorescent protein or 3HP pathway genes were cloned as described in 5, 26. The vectors were linearized with NotI, the integration fragment (part of the expression vector without E. coli ori and AmpR) was gel‐purified and transformed, along with a gRNA helper vector, into yeast carrying the Cas9 plasmid (pCfB2312) via the lithium acetate method 27. After the heat shock the cells were recovered for two hours in YPD medium and then plated on YPD agar containing 200 mg/L G418 and 100 mg/L nourseothricin. For yeast transformations with a single vector we routinely use 500 ng of the linear integration fragment along with 500 ng of the relevant gRNA helper plasmid. For yeast transformations with three vectors we use 1 µg of linear integration fragments and 1 µg of triple gRNA helper plasmid. Correct integration of the vectors into the genome was verified by colony PCR using primers listed in Supporting information, Table S1.
Jessop‐Fabre M.M., Jakočiūnas T., Stovicek V., Dai Z., Jensen M.K., Keasling J.D, & Borodina I. (2016). EasyClone‐MarkerFree: A vector toolkit for marker‐less integration of genes into Saccharomyces cerevisiae via CRISPR‐Cas9. Biotechnology Journal, 11(8), 1110-1117.
Publication 2016
Agar antibiotic G 418 ATP Citrate (pro-S)-Lyase Carrier Proteins Cells Chromosomes Citrates Cloning Vectors Codon Enterococcus faecalis Episomes Escherichia coli Ethanol Gene Expression Genes Genes, Duplicate Genome Heat-Shock Response lipoate-protein ligase lithium acetate Mitochondria Mutagenesis, Site-Directed Nourseothricin Oligonucleotide Primers Plasmids Proteins Pyruvate Dehydrogenase Complex Replicon Saccharomyces cerevisiae Yarrowia lipolytica
4
Bacterial Biofilm Detachment on Orthopedic Implants
Sterilized titanium (Ti6Al4V) and steel (AIS1316-L) discs were colonized by 1 of 4 different bacterial strains (Figure 1). All strains were clinical isolates from patients with chronic PJI. The bacterial strains were identified to the species level by biotyping and/or standard microbiological procedures: Staphylococcus aureus (coagulase-positive, nuc-positive staphylococcus), Staphylococcus epidermidis (ID-32 STAPH; bioMèrièux, Marcy l'Etoile, France; profile: 166010210), Enterococcus faecalis (rapid ID 32 STREP; bioMèrièux; profile: 30721715171), and Propionibacterium acnes (rapid ID 32A; bioMèrièux; profile: 2503377604).
Confocal scanning laser microscopy (CSLM) was employed to confirm the 24-hour biofilm formation ability of each strain. 8 study groups were examined (Table 1). Bacteria were suspended in 25 mL of Mueller Hinton broth (BD, Franklin Lakes, NJ) and incubated at 35ºC until a spectrophotometric density of approximately 1 × 108 colony forming units/mL (CFU/mL) had been reached in the exponential growth phase. A batch of 40 discs (one study group) was immersed in this bacterial suspension bath and incubated at 35ºC for 24 h on a gently stirring agitator (20 rpm).
To remove non-adherent bacteria, the discs were rinsed 6 times in sterile saline. First, the discs for each study group were placed in a sterile plastic tube (Sarstedt, Norway) containing 25 mL saline and gently vortex mixed (MS2 Minishaker; IKA Works Inc., Wilmington, NC) at 100 rpm for 10 seconds. The discs were then transferred to another tube, and the procedure was repeated twice. Each single disc was then transferred to a sterile glass test tube containing 5 mL saline and subjected to vortex mixing at 100 rpm. The single disc rinsing was also repeated 3 times.
Aliquots of 50 µL saline were incubated on agar (Merck, Darmstadt, Germany) with 5% ox blood at 35ºC for 3 days. For culture of P. acnes, FAA agar (Merck) was incubated in an anaerobic cabinet for 7 days. The bacteria cultured were enumerated by colony counting. The number of CFU after final rinsing was recorded as a quantitative baseline, facilitating evaluation of the different detachment methods.
Each experimental group (10 discs) was subjected to 1 of 4 methods for biofilm detachment and bacterial recovery. The experimental design is summarized in Table 1.
Bjerkan G., Witsø E, & Bergh K. (2009). Sonication is superior to scraping for retrieval of bacteria in biofilm on titanium and steel surfaces in vitro. Acta Orthopaedica, 80(2), 245-250.
Publication 2009
Acne Agar Bacteria Bath Biofilms Blood Coagulase Enterococcus faecalis Microbiological Techniques Microscopy, Confocal, Laser Scanning Neoplasm Metastasis Patients Propionibacterium acnes Saline Solution Spectrophotometry Staphylococcal Infections Staphylococcus Staphylococcus aureus Staphylococcus epidermidis Steel Sterility, Reproductive Strains Streptococcal Infections Titanium titanium alloy (TiAl6V4)
5
Yeast Genetic Manipulation and Cas9 Integration
Saccharomyces cerevisiae strains were transformed according to Gietz and Woods (2002 ). Mutants were selected on solid YP medium (demineralized water, 10 g·L−1 Bacto yeast extract, 20 g·L−1 Bacto peptone, 2% (w/v) agar), supplemented with 200 mg·L−1 G418, 200 mg·L−1 hygromycin B or 100 mg·L−1 nourseothricin (for dominant markers) or on SM supplemented with appropriate auxotrophic requirements (Verduyn et al.1992 (link)). In all cases, gene deletions and integrations were confirmed by colony PCR on randomly picked colonies, using the diagnostic primers listed in Table S1 (Supplementary data). Integration of cas9 into the genome was achieved via assembly and integration of two cassettes containing cas9 and the natNT2 marker into the CAN1 locus. The cas9 cassette was obtained by PCR from p414-TEF1p-cas9-CYC1t (DiCarlo et al.2013b (link)), using primers 2873 & 4653. The natNT2 cassette was PCR amplified from pUG-natNT2 with primers 3093 & 5542. 2.5 μg cas9 and 800 ng natNT2 cassette were pooled and used for each transformation. Correct integration was verified by colony PCR (Supplementary data) using the primers given in Table S1 (Supplementary data), the resulting strains have been deposited at EUROSCARF. IMX719 was constructed by co-transformation of pUDR022 (see below) with genes required for functional Enterococcus faecalis PDH expression (Kozak et al.2014b (link)). The gene cassettes were obtained by PCR using plasmids pUD301–pUD306 as template (Table 2) with the primers indicated in Table S1 (Supplementary data) and the ACS1 dsDNA repair fragment, obtained by annealing two complementary single-stranded oligos (6422 & 6423). After confirmation of the relevant genotype (Fig. 4B), the pUDR022 plasmid was removed as explained in Supplementary data.
Mans R., van Rossum H.M., Wijsman M., Backx A., Kuijpers N.G., van den Broek M., Daran-Lapujade P., Pronk J.T., van Maris A.J, & Daran J.M. (2015). CRISPR/Cas9: a molecular Swiss army knife for simultaneous introduction of multiple genetic modifications in Saccharomyces cerevisiae. FEMS Yeast Research, 15(2), fov004.
Publication 2015
2',5'-oligoadenylate ACSL1 protein, human Agar antibiotic G 418 Bacto-peptone Diagnosis DNA, Double-Stranded Enterococcus faecalis Gene Deletion Genes Genome Genotype Hygromycin B Nourseothricin Oligonucleotide Primers Plasmids Saccharomyces cerevisiae Strains

Most recents protocols related to «Enterococcus faecalis»

1
Bacterial Uptake of Radiotracer F-PABA
Not available on PMC !

Example 3

The ability of different bacterial species to take up [18F]F-PABA was studied. The radiotracer accumulated in both methicillin sensitive S. aureus (MSSA, Newman) and methicillin-resistant S. aureus (MRSA), as well as the Gram negative bacteria E. coli and Klebsiela pneumoniae.

In the case of MSSA we also demonstrated that heat-killed cells were unable to take up [18F]F-PABA (FIG. 1). In contrast, [18F]F-PABA was not taken up by Enterococcus faecalis. E. faecalis has a folate salvage pathway and can take up folate from the environment. Thus, folic acid biosynthesis is dispensable in this organism, which also explains why sulfonamides are not used to treat infection by E. faecalis. These studies suggest that F-PABA uptake depends on on the de novo biosynthesis of folate.

US11857352B2. Positron imaging tomography imaging agent composition and method for bacterial infection (2024-01-02). The Research Foundation for the State University of New York [US]. Inventors: Peter Tonge [US], Zhuo Zhang [US], Peter Smith-Jones [US], Li Liu [US], Hui Wang [US].
Patent 2024
4-Aminobenzoic Acid Anabolism Bacteria Cells Enterococcus faecalis Escherichia coli Folate Folic Acid Gram Negative Bacteria Infection Klebsiella pneumoniae Methicillin Methicillin-Resistant Pneumonia Staphylococcus aureus Sulfonamides
2
Bacterial Species Identification via SERS Spectra
To identify different types of bacterial species from the collected
SERS spectra, we used the common machine learning algorithms from
the open-source Python (3.8) library, Scikit-learn. To read, process,
and visualize the spectral data, we used python packages: NumPy, SciPy,
Matplotlib, and Seaborn.
To classify the five different bacteria
species, 1114 SERS spectra were recorded on the Ag–CuxO nanostructures. These include 157 for Bacillus subtilis (B. subtilis), 309 for Escherichia coli (E. coli), 155 for Enterococcus faecalis (E. faecalis), 343 for Staphylococcus aureus (S. aureus), and 150 for Streptococcus mutans (S. mutans). Specifically, the data
were first normalized using StandardScaler and then principal component
analysis (PCA) was applied on the transformed data. Machine learning
methods were used to distinguish bacteria. To facilitate the machine
learning-based identification for real-life adaptation, the spectral
data obtained from bacteria were used directly, without any pre-processing
such as background subtraction or smoothing. For each bacterial species,
approximately 66.7% of the spectral data were used as training data,
which was obtained by parsing it using the randomization parameter
(randomization coefficient = 40) of the split function from the Scikit-learn
library. These data were used to train classification algorithms like
support vector machines (SVM), k-nearest neighbors (KNN), and decision
tree. Finally, the remaining approximately 33.3% of the bacterial
spectra were used to test the accuracy of the system.
Sahin F., Camdal A., Demirel Sahin G., Ceylan A., Ruzi M, & Onses M.S. (2023). Disintegration and Machine-Learning-Assisted Identification of Bacteria on Antimicrobial and Plasmonic Ag–CuxO Nanostructures. ACS Applied Materials & Interfaces, 15(9), 11563-11574.
Publication 2023
Acclimatization Bacillus subtilis Bacteria Bacterial Typing Cloning Vectors DNA Library Enterococcus faecalis Escherichia coli Python Staphylococcus aureus Streptococcus mutans
3
Antimicrobial Susceptibility Testing of Bacteria
Antimicrobial susceptibility testing (AST) was conducted by the broth microdilution method using Sensititre™ system (Thermo Fisher Scientific Inc., Waltham, USA) against a panel of 19 antibiotics on a commercially available BOPO7F Vet Antimicrobial Susceptibility Testing Plate (Table 1). In the AST procedure, 1–5 colonies of E. coli or Enterococcus were resuspended in 5 mL of demineralized water and the cell suspension adjusted to optical density of 0.5 McFarland using a nephelometer. Next, 10 μl of E. coli or Enterococcus bacterial suspension was added to 11 mL Mueller-Hinton broth (Thermo Scientific, Remel Inc., KS, USA) and mixed by repeated inversion of the tube. Fifty microliters of inoculated Mueller-Hinton broth were dispensed into each well of the 96-well BOPO7F Vet plate using Sensititre™ Autoinoculator and the plates were incubated for 18–24 h at 35°C. The minimum inhibitory concentration (MIC) was read using Sensititre™ Vizion™ Digital MIC Viewing System (Thermo Fisher Scientific Inc., Waltham, USA). The MIC values (lowest concentration of antimicrobial drug that inhibited the growth of bacteria) was interpreted following the Clinical and Laboratory Standards Institute (CLSI) guidelines [Clinical and Laboratory Standards Institute (CLSI), 2020 ; Clinical Lab Standards Institute (CLSI), 2022 ]. Quality control steps included checking for bacterial growth and colony purity by plating 1 μL of the inoculated Mueller-Hinton broth on TSA with 5% sheep blood. Contaminated or no-growth inoculated samples were not read and repeated. In addition, quality control strains (E. coli ATCC 35218 and E. coli ATCC 25922 and Enterococcus faecalis ATCC 29212) were run weekly alongside the test samples.
Morris C., Wickramasingha D., Abdelfattah E.M., Pereira R.V., Okello E, & Maier G. (2023). Prevalence of antimicrobial resistance in fecal Escherichia coli and Enterococcus spp. isolates from beef cow-calf operations in northern California and associations with farm practices. Frontiers in Microbiology, 14, 1086203.
Publication 2023
Antibiotics Bacteria Blood Cells Clinical Laboratory Services Domestic Sheep Enterococcus Enterococcus faecalis Escherichia coli Fingers Inversion, Chromosome Microbicides Minimum Inhibitory Concentration Strains Susceptibility, Disease
4
Antibacterial Efficacy of Extracts
The antibacterial actions of extracts were examined against Escherichia coli (ATCC 25922), Salmonella enterica (ATCC 14028), Pseudomonas aeruginosa (ATCC 10145), representing Gram-negative (GN) bacteria; Listeria monocytogenes (ATCC 35152), Staphylococcus aureus (ATCC 43300) and Enterococcus faecalis (ATCC 43845), representing Gram-positive (GP) bacteria. Each bacterial culture stock preserved in -80°C was injected into a tube containing 20 ml of Trypticase soya broth (TSB). Then, all inoculated tubes were incubated for 24 h at 37°C. Dilution of the cultures with Mueller–Hinton Broth (MHB) was performed corresponding to ten folds serial dilution upto 10-8CFU/ml of the bacterial culture.
Hemdan B.A., Mostafa A., Elbatanony M.M., El-Feky A.M., Paunova-Krasteva T., Stoitsova S., El-Liethy M.A., El-Taweel G.E, & Abu Mraheil M. (2023). Bioactive Azadirachta indica and Melia azedarach leaves extracts with anti-SARS-CoV-2 and antibacterial activities. PLOS ONE, 18(3), e0282729.
Publication 2023
Anti-Bacterial Agents Bacteria Enterococcus faecalis Escherichia coli Gram-Positive Bacteria Gram Negative Bacteria Listeria monocytogenes Pseudomonas aeruginosa Salmonella enterica Soybeans Staphylococcus aureus Technique, Dilution trypticase
5
Isolation and Characterization of Vaginal Lactobacilli
Lactobacilli included in this study were previously isolated from vaginal swabs of healthy pre-menopause Caucasian women, according to the protocol approved by the Ethics Committee of the University of Bologna, Bologna, Italy (52/2014/U/Tess) [47 (link)]. According to a recent reclassification of Lactobacillus genus [48 (link)], they belong to the species Lactobacillus crispatus (BC1, BC3, BC4, and BC5), Lactobacillus gasseri (BC9, BC10, BC12, and BC14) and Limosilactobacillus vaginalis (BC16 and BC17). Lactobacilli were routinely grown in de Man, Rogosa, and Sharpe broth (MRS) (Difco, Detroit, MI, USA) with the addition of L-cysteine 0.05% (w/v) (Merck, Milan, Italy), at 37 °C; the anaerobic conditions were guaranteed by incubation in anaerobic jars containing Gas-Pak EZ (Beckton, Dickinson and Co., Milan, Italy).
Escherichia coli DSM1900, E. coli DSM18039 and Staphylococcus aureus DSM2569 were purchased from the German Collection of Microorganisms and Cell Cultures GmbH (DSMZ, Braunschweig, Germany). Staphylococcus lugdunensis BC102, Enterococcus faecalis BC101 and Enterococcus faecium BC105 belong to the Department of Pharmacy and Biotechnology of the University of Bologna (Italy). Staphylococcus aureus SO88, Streptococcus agalactiae SO104, Candida albicans SO1 and Candida glabrata SO17 were isolated at Sant’Orsola-Malpighi University Hospital of Bologna during routine diagnostic procedures. The microbial identification was obtained by means of a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), using a Bruker Microflex MALDI-TOF MS instrument (Bruker Daltonics) [49 (link)]. Staphylococcus spp., E. coli, Enterococcus spp. and S. agalactiae were aerobically grown at 37 °C in Brain Heart Infusion medium (BHI) (Difco, Detroit, MI, USA), while Candida spp. were aerobically cultured at 35 °C in Sabouraud dextrose medium (SD) (Difco, Detroit, MI, USA).
Giordani B., Naldi M., Croatti V., Parolin C., Erdoğan Ü., Bartolini M, & Vitali B. (2023). Exopolysaccharides from vaginal lactobacilli modulate microbial biofilms. Microbial Cell Factories, 22, 45.
Publication 2023
BC-105 Brain Candida Candida albicans Candida glabrata Caucasoid Races Cell Culture Techniques Culture Media Cysteine Diagnostic Tests, Routine Enterococcus Enterococcus faecalis Enterococcus faecium Escherichia coli Ethics Committees Glucose Heart Lactobacillus Lactobacillus crispatus Lactobacillus gasseri Lactobacillus vaginalis N-tris(hydroxymethyl)methyl-2-aminomethane sulfonate Premenopause Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Staphylococcus Staphylococcus aureus Staphylococcus lugdunensis Streptococcus agalactiae Vagina Woman

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Enterococcus faecalis by American Type Culture Collection
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Enterococcus faecalis is a Gram-positive, facultatively anaerobic bacterium. It is commonly found in the human gastrointestinal tract and is known for its ability to survive in diverse environments.
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More about "Enterococcus faecalis"

Enterococcus faecalis, a Gram-positive, facultatively anaerobic bacterium, is a common inhabitant of the human gastrointestinal tract.
It is a leading cause of nosocomial (hospital-acquired) infections and has developed resistance to many antibiotics, making it a significant public health concern.
Researching E. faecalis is crucial for understanding its virulence factors, pathogenesis, and potential treatment strategies.
Enterococcus species, including E. faecalis, are known to cause a variety of infections, such as urinary tract infections (UTIs), bacteremia (bloodstream infections), endocarditis (heart valve infections), and surgical site infections.
These bacteria are also associated with the development of antibiotic-resistant strains, posing a challenge for effective treatment.
In addition to E. faecalis, other notable bacteria that can cause nosocomial infections include Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Candida albicans.
These pathogens can also develop antimicrobial resistance, leading to increased morbidity and mortality.
Researching E. faecalis and other resistant bacteria is essential for developing new treatment strategies, improving infection control measures, and ultimately enhancing patient outcomes.
PubCompare.ai's innovative tools can assist researchers in this endeavor by locating reproducible, accurate findings from literature, preprints, and patents, and identifying the best protocols and products using AI-driven analysis.
This can help optimize research on E. faecalis and other clinically relevant microorganisms, such as Staphylococcus epidermidis, Bacillus cereus, Bacillus subtilis, and Proteus mirabilis.
By leveraging PubCompare.ai's advanced research tools, researchers can improve their understanding of E. faecalis and other problematic bacteria, leading to more effective prevention and treatment strategies, and ultimately, better patient outcomes.