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Propionibacterium acnes

Propionibacterium acnes is a Gram-positive, anaerobic bacterium commonly found on human skin.
It plays a key role in the development of acne vulgaris, a common skin condition.
PubCompare.ai's innovative AI-driven platform can help streamline research on this important microorganism by enabling seamless comparisons of research protocols from literature, preprints, and patents.
This cutting-edge tool enhances reproducibility and optimizes research workflows, empowering scientists to discover the best protocols and advance their studies on Propionibacterium acnaes more efficiently.

Most cited protocols related to «Propionibacterium acnes»

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.
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
Escherichia coli strain MG1655 was used in three biological replicate DNA-seq experiments (Cari Vanderpool, personal communication). Library construction and sequencing on an Illumina HiSeq 2500 were performed at the WM Keck Center for Comparative and Functional Genomics at the University of Illinois at Urbana-Champaign. The DNA libraries were prepared with the KAPA Library Preparation Kits (KAPA Biosystems (Wilmington, MA, USA)). The libraries were quantified by quantitative PCR , pooled in equimolar concentration, and sequenced on one lane for 101 cycles from one end of the fragments using a TruSeq SBS version 3 sequencing kit (Illumina (San Diego, CA, USA)). The fastq files were generated with Casava 1.8.2 (Illumina).
RNA-seq data from E. coli, Streptococcus pyogenes, Mycobacterium tuberculosis, Bacillus subtilis, Staphylococcus aureus, Pyrococcus abyssi, Acinetobacter oleivorans, Propionibacterium acnes, Methanobrevibacter smithii, Clostridium acetobutylicum, and Deinococcus gobiensis were downloaded from the Sequence Read Archive (SRA) [23 (link)]. Details on each RNA-seq data set, including accession number in the SRA, length of the reads, whether the reads are single-end or paired-end, and the number of reads, is provided in Table 1. The Schizosaccharomyces pombe RNA-seq data [24 (link)] were downloaded from the Trinity tutorial [25 (link)].

Sequencing data sets

OrganismTypeDomainClassSRA accession numberRead typeLength of reads (bp)Number of readsNumber of reference genes
Escherichia coliDNA-seqBacteriaGammaproteobacteriaSRP049375Single10067,713,365-
Escherichia coliRNA-seqBacteriaGammaproteobacteriaSRX254784Single10034,085,7324,190
Acinetobacter oleivoransRNA-seqBacteriaGammaproteobacteriaSRX560107Paired10119,140,5372,934
Deinococcus gobiensisRNA-seqBacteriaDeinococciSRX061110Paired7518,676,333610
Mycobacterium tuberculosisRNA-seqBacteriaActinobacteriaSRX380298Paired512,364,009752
Streptococcus pyogenesRNA-seqBacteriaBacilliSRX252449Single727,049,947372
Bacillus subtilisRNA-seqBacteriaBacilliSRX533166Single5114,010,8271,917
Staphylococcus aureusRNA-seqBacteriaBacilliSRX172891Paired1019,067,7971,720
Propionibacterium acnesRNA-seqBacteriaActinobacteriaSRX278003Single75195,541,3041,777
Clostridium acetobutylicumRNA-seqBacteriaClostridiaSRX316281Single5013,256,052202
Pyrococcus abyssiRNA-seqArchaeaThermococciSRX556571Single4051,342,770133
Methanobrevibacter smithiiRNA-seqArchaeaMethanobacteriaSRX031877Single3632,744,832211
Schizosaccharomyces pombeRNA-seqEukaryaSchizosaccharomycetesNAPaired684,000,0003,591

The table summarizes the DNA-seq data set and the 12 RNA-seq data sets used in this study. Information in the table includes the length and number of sequencing reads in each data set. NA, not available.

Publication 2015
Acinetobacter oleivorans Bacillus subtilis Biopharmaceuticals Clostridium acetobutylicum Deinococcus gobiensis DNA Library DNA Replication Escherichia Escherichia coli Methanobrevibacter Mycobacterium tuberculosis Propionibacterium acnes Pyrococcus abyssi RNA-Seq Schizosaccharomyces pombe Staphylococcus aureus Strains Streptococcus pyogenes
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.
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)
The organisms for the mock community (MC) include a variety of different genera commonly found on or within the human body. The MC composition has been described elsewhere [18] and additional data is available on the HMP Data Analysis and Coordination Center website (http://www.hmpdacc.org/). Genomic DNA from each organism was prepared individually and the DNAs were then mixed, based on 16S rRNA gene copy number, to create the MC. The organisms included were Acinetobacter baumannii ATCC 17978, Actinomyces odontolyticus ATCC 17982, Bacillus cereus ATCC 10987, Bacteroides vulgatus ATCC 8482, Clostridium beijerinckii ATCC 51743, Deinococcus radiodurans DSM 20539 (ATCC 13939), Enterococcus faecalis ATCC 47077, Escherichia coli ATCC 700926, Helicobacter pylori ATCC 700392, Lactobacillus gasseri DSM 20243 (ATCC 33323), Listeria monocytogenes ATCC BAA-679, Methanobrevibacter smithii ATCC 35061, Neisseria meningitidis ATCC BAA-335, Propionibacterium acnes DSM1 6379, Pseudomonas aeruginosa ATCC 47085, Rhodobacter sphaeroides ATCC 17023, Staphylococcus aureus ATCC BAA-1718, Staphylococcus epidermidis ATCC 12228, Streptococcus agalactiae ATCC BAA-611, Streptococcus mutans ATCC 700610, and Streptococcus pneumoniae ATCC BAA-334. Candida albicans ATCC MYA-2876 was included as a negative control but limited to only 1,000 18S copies (calculated) per µl.
Publication 2012
Acinetobacter calcoaceticus Bacillus cereus Bacteroides vulgatus Candida albicans Clostridium beijerinckii Deinococcus radiodurans DNA Enterococcus faecalis Escherichia coli Genome Helicobacter pylori Human Body Lactobacillus gasseri Listeria monocytogenes Methanobrevibacter Neisseria meningitidis Propionibacterium acnes Pseudomonas aeruginosa Rhodobacter sphaeroides RNA, Ribosomal, 16S Schaalia odontolytica Staphylococcus aureus Staphylococcus epidermidis Streptococcus agalactiae Streptococcus mutans Streptococcus pneumoniae
To identify a subtyping marker for C. ubiquitum, we sequenced the genome of an isolate from a specimen (33496) from a Verreaux’s sifaka by 454 technology using a GS FLX+ System (454 Life Sciences, Branford, CT, USA). This specimen was selected for whole-genome sequencing because of the high number of oocysts present, the availability of ample fecal materials for isolation of oocysts by sucrose and cesium chloride gradient flotation and immunomagnetic separation, and minor contamination from nontarget organisms in extracted DNA. Of the 3,030 assembled contigs of 11.4 MB nucleotides generated from 1,069,468 sequence reads, 1contig (no. 0067), consisting of 45,014 bp, had a high sequence similarity to the 5′ and 3′ ends of the gp60 gene and the flanking intergenic regions. Alignment of the contig 0067 sequence with the nucleotide sequences of the C. parvum gp60 gene (AF203016 and AY048665) led to the identification of sequences conserved between C. ubiquitum and C. parvum, which were used to design a nested PCR that amplified the entire coding region of the gp60 gene, except for the 54 nt at the 3′ end. The sequences of primers used in primary and secondary PCR were 5′-TTTACCCACACATCTGTAGCGTCG-3′ (Ubi-18S-F1) and 5′-ACGGACGGAATGATGTATCTGA-3′ (Ubi-18S-R1), and 5′-ATAGGTGATAATTAGTCAGTCTTTAAT-3′ (Ubi-18S-F2) and 5′-TCCAAAAGCGGCTGAGTCAGCATC-3′ (Ubi-18S-R2), which amplified an expected PCR product of 1,044 and 948 bp, respectively.
Publication 2014
Base Sequence cesium chloride Feces Genes Genome Immunomagnetic Separation Intergenic Region isolation Nested Polymerase Chain Reaction Nucleotides Oligonucleotide Primers Oocysts Propionibacterium acnes Sequence Alignment Sucrose

Most recents protocols related to «Propionibacterium acnes»

Positive blood cultures were identified in the database and the sample date, age, sex and microbiological findings were retrieved. For species with clinically used names that were changed during the study period (such as Cutibacterium acnes previously called Propionibacterium acnes) we have consistently aimed to use the valid names as of 2022 according to the International Code of Nomenclature of Prokaryotes [12 (link)]. Antimicrobial susceptibility was described for Enterobacterales only, for fluoroquinolones (ciprofloxacin), third generation cephalosporins (cefotaxime) and aminoglycosides (gentamicin). Due to a database update in 2010, susceptibility data were available from 2011 to 2019 only. In addition, zone diameters were incomplete in > 50% of records. Therefore, clinical classification into susceptible (S), increased exposure (I) and resistant (R) was used to describe susceptibility, using breakpoints as per the original microbiology reports [13 (link)]. For cases with zone data, susceptibility testing according to the 2022 EUCAST breakpoints was compared with the original SIR classification in a sensitivity analysis [11 ]. Negative blood cultures were retrieved on an aggregate level (only the total number of blood culture sets per year was available). Population data were retrieved from Statistics Sweden [14 ].
Publication 2023
Aminoglycosides Blood Culture Cefotaxime Cephalosporins Ciprofloxacin Fluoroquinolones Gentamicin Hypersensitivity Microbicides Prokaryotic Cells Propionibacterium acnes Susceptibility, Disease
Primary normal human epidermal keratinocytes were cultured at 37°C in 5% CO2 in Epilife medium supplemented with human keratinocyte growth supplement (Gibco, USA). Human microvascular endothelial cells (HMVECs) were cultured at 37°C in 5% CO2 in EBM-2 basal medium supplemented with EBM-2 growth medium (Lonza, USA).
M. furfur (ATCC 12078) was cultured at 30°C on Difco YM agar supplemented with 1% olive oil. S. epidermidis (Staphylococcus epidermidis, ATCC 12228) was cultured at 37°C on Difco tryptic soy agar. C. acnes (Cutibacterium acnes, ATCC 6919) was cultured at 37°C on forced clostridial medium (CM0149; Oxoid) with 2% agar. To induce hypoxia, a BD GasPakTM EZ Pouch was used. All the media were sterilized by autoclaving at 121°C for 15 min.
Organisms were harvested by centrifugation, and the pellet was suspended in the corresponding media. The organisms were heat-killed by incubation at 80°C for 3 min, and then co-cultured with normal human epidermal keratinocytes or human microvascular endothelial cells for 24 h at a density of 1 × 105 cells/mL. To induce allergic environments, recombinant thymic stromal lymphopoietin (TSLP) (50 ng/mL) or IL-4 (50 ng/mL) was used.
Publication 2023
Acne Agar Centrifugation Clostridium Endothelial Cells Epidermis Homo sapiens Hypoxia Keratinocyte Oil, Olive Propionibacterium acnes Staphylococcus epidermidis Thymic Stromal Lymphopoietin Trypsin
DNA was extracted from fecal samples using the QiaAmp PowerFecal pro DNA kit (Qiagen). qPCR was performed with the QuantStudio 3 system (Thermo Fisher Scientific) using previously described cycling conditions (24 (link)). Each sample was run as two technical replicates containing 2 μL purified fecal DNA (diluted 1:5 in low-Tris-EDTA buffer), 10 μL SYBR green QuickStart Taq ReadyMix (Sigma), and 1.6 μL of 5 μM primer solution targeting C. parvum GAPDH (glyceraldehyde-3-phosphate dehydrogenase) (Table S2). C. parvum oocyst quantities were determined via the QuantStudio Design & Analysis New (DA2) software (Thermo Fisher Scientific) using standard curves for C. parvum gDNA. The number of oocysts per milligram of feces was calculated as the average number of C. parvum oocyst gDNA equivalents (total gDNA equivalents divided by 4) divided by the mass of the fecal sample from which DNA was purified.
Publication 2023
Edetic Acid Feces GAPDH protein, human Glyceraldehyde-3-Phosphate Dehydrogenases Oligonucleotide Primers Oocysts Propionibacterium acnes SYBR Green I Tromethamine
Excysted sporozoites (2 × 105) were resuspended in 4% FBS–ATCC-modified RPMI 1640 medium. Purified 1A5 and mouse IgG control antibodies were serially diluted in RPMI 1640 medium and added to a separate 96-well plate, and sporozoite solution was added to diluted antibodies at a 1:1 ratio. Sporozoite-antibody solutions were incubated at RT for 10 min and then added to confluent HCT-8 cells in a 96-well plate. Plates were centrifuged at 400 × g for 15 s and then incubated for 2.5 h. At 2.5 hpi, all wells were washed twice with DPBS, fixed with 2% formaldehyde in DPBS, washed with DPBS, and blocked with 1% BSA in DPBS. Extracellular C. parvum parasites were labeled with rabbit PanCp, followed by goat anti-rabbit IgG–Alexa Fluor 594. Wells were then permeabilized with 1% BSA–0.05% TX-100 in DPBS. After permeabilization, all C. parvum parasites were labeled with rabbit PanCp, followed by goat anti-rabbit IgG–Alexa Fluor 488. Nuclei were stained with Hoechst 33342 nuclear dye (Thermo Fisher).
Plates were imaged on the Cytation 3 cell imaging multimode reader (BioTek) using a 10× objective. Nine images were obtained per well using a 3-by-3 grid. Gen5 software (v5.08; Biotek) was used to count host cell nuclei in the DAPI (4′,6-diamidino-2-phenylindole) channel. To assess C. parvum parasite attachment and invasion, CellProfiler (v4.2.1; https://CellProfiler.org) (42 (link)) was used to count all objects in the green fluorescent protein (GFP) channel, and then the intensity of each object in the Texas Red channel was measured. Parasites were determined to be extracellular if the object from the GFP channel surpassed a fluorescence intensity threshold in the Texas Red channel. The number of invaded parasites was calculated by subtracting the number of extracellular parasites from the total number of parasites. Relative parasite invasion and attachment were calculated as a ratio of the mean number of invaded or extracellular C. parvum parasites, respectively, in 1A5 to that in the mIgG control. Sample means were averaged across three independent experiments with two to three technical replicates per experiment. Prism 9 (GraphPad) was used to perform a two-way analysis of variance (ANOVA), followed by Dunnett’s test for multiple comparisons, in which 1A5 was compared to mIgG within each concentration tested.
Publication 2023
Alexa594 alexa fluor 488 anti-IgG Antibodies Cell Nucleus Cells CXCL9 protein, human DAPI Fluorescence Formaldehyde Goat Green Fluorescent Proteins HOE 33342 Immunoglobulin G Immunoglobulins Mus Parasites polyethylene glycol monooctylphenyl ether prisma Propionibacterium acnes Rabbits Sporozoites
Female C57BL/6 mice (6 to 8 weeks old; 6 per group) were housed under specific-pathogen-free conditions at 25°C with autoclaved food and water provided ad libitum. Next, the mice were divided into the following groups: the peptide-immunized groups, the oocyst infection group, the Freund’s adjuvant control group, and the naive control group. C. parvum oocysts collected from infected calves were propagated in C57BL/6 interferon gamma knockout (GKO) mice (stock no. 002287; Jackson Laboratories, USA), which were kindly provided by Yurong Yang (Henan Agricultural University, Zhengzhou, People’s Republic of China). C57BL/6 mice were subcutaneously immunized three times with the mixed peptide at 10- to 14-day intervals. The mixed-peptide vaccine administered to each mouse consisted of 50 μg of polypeptides dissolved in PBS and emulsified in complete Freund’s adjuvant (CFA) for the primary immunization or incomplete Freund’s adjuvant (IFA) for the booster immunization in a total volume of 200 μL. The Freund’s adjuvant-immunized group was given 100 μL Freud’s adjuvant and 100 μL PBS per mouse. Each vaccine solution was emulsified before administration. Two weeks after the last immunization, mice were challenged with 2 × 106 oocysts for the quantitation of fecal parasite loads, four mice from each group were sacrificed, and their splenocytes and small intestine intraepithelial lymphocytes (IELs) were isolated for ELISpot assays and intracellular cytokine staining.
Publication 2023
Biological Assay Cytokine Enzyme-Linked Immunospot Assay Feces Females Food Freund's Adjuvant IFNG protein, mouse Infection Intestines, Small Intraepithelial Lymphocytes Mice, Inbred C57BL Mus Oocysts Peptides Pharmaceutical Adjuvants Polypeptides Propionibacterium acnes Protoplasm Scheuermann's Disease Secondary Immunization Specific Pathogen Free Vaccination Vaccines Vaccines, Peptide

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More about "Propionibacterium acnes"

Propionibacterium acnes, also known as P. acnes, is a Gram-positive, anaerobic bacterium that is commonly found on human skin.
This microorganism plays a crucial role in the development of acne vulgaris, a prevalent skin condition.
Researchers studying P. acnes can benefit from the innovative AI-driven platform offered by PubCompare.ai, which enables seamless comparisons of research protocols from literature, preprints, and patents.
The PubCompare.ai platform enhances reproducibility and optimizes research workflows, empowering scientists to discover the best protocols and advance their studies on P. acnes more efficiently.
This cutting-edge tool can be particularly useful when investigating the interactions between P. acnes and other skin-associated microorganisms, such as Staphylococcus epidermidis and Staphylococcus aureus.
When conducting research on P. acnes, researchers may also utilize various techniques and reagents, including SYBR Green PCR Master Mix for quantitative PCR, Bovine serum albumin (BSA) as a stabilizing agent, and Fetal Bovine Serum (FBS) for cell culture experiments.
Additionally, DNA extraction kits like the QIAamp DNA Stool Mini Kit and the DNeasy Blood and Tissue Kit can be used to isolate high-quality genomic DNA from P. acnes samples.
To visualize and analyze DNA samples, researchers may employ fluorescent dyes like GelRed, and the DNA-free kit can be used to remove any contaminating DNA from RNA preparations.
By leveraging these tools and techniques, scientists can enhance their understanding of P. acnes and its role in acne development, ultimately leading to improved diagnostic and therapeutic strategies.