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Lacticaseibacillus casei

Lacticaseibacillus casei is a species of lactic acid bacteria commonly used in probiotic and fermentation applications.
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Most cited protocols related to «Lacticaseibacillus casei»

1
Benchmarking Taxonomic Classification of Microbiome Sequences
The simulated reads used here were derived from the reference databases using the “Cross-validated classification performance” notebooks in our project repository. The reference databases were either Greengenes or UNITE (99% OTUs) that were cleaned according to taxonomic label to remove sequences with ambiguous or null labels. Reference sequences were trimmed to simulate amplification using standard PCR primers and slice out the first 250 bases downstream (3′) of the forward primer. The bacterial primers used were 27F/1492R [27 (link)] to simulate full-length 16S rRNA gene sequences, 515F/806R [28 (link)] to simulate 16S rRNA gene V4 domain sequences, and 27F/534R [29 (link)] to simulate 16S rRNA gene V1–3 domain sequences; the fungal primers used were BITSf/B58S3r [30 (link)] to simulate ITS1 internal transcribed spacer DNA sequences. The exact sequences were used for cross validation and were not altered to simulate any sequencing error; thus, our benchmarks simulate denoised sequence data [4 (link)] and isolate classifier performance from impacts from sequencing errors. Each database was stratified by taxonomy and 10-fold randomized cross-validation data sets were generated using scikit-learn’s library functions. Where a taxonomic label had less than 10 instances, taxonomies were amalgamated to make sufficiently large strata. If, as a result, a taxonomy in any test set was not present in the corresponding training set, the expected taxonomy label was truncated to the nearest common taxonomic rank observed in the training set (e.g., Lactobacillus casei would become Lactobacillus). The notebook detailing simulated read generation (for both cross-validated and novel taxon reads) prior to taxonomy classification is available at https://github.com/caporaso-lab/tax-credit-data/blob/0.1.0/ipynb/novel-taxa/dataset-generation.ipynb.
Classification performance was also slightly modified from a standard machine-learning scenario as the classifiers in this study are able to refuse classification if they are not confident above a taxonomic level for a given sample. This also accommodates the taxonomy truncation that we performed for this test. The methodology was consistent with that used below for novel taxon evaluations, so we defer its description to the next section.
Bokulich N.A., Kaehler B.D., Rideout J.R., Dillon M., Bolyen E., Knight R., Huttley G.A, & Gregory Caporaso J. (2018). Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome, 6, 90.
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Publication 2018
Bacteria DNA Library Genes Lacticaseibacillus casei Lactobacillus Oligonucleotide Primers Ribosomal RNA Genes RNA, Ribosomal, 16S Self Confidence Unite resin
2
Phylogenetic Analysis of Bacterial Genomes
Phylogenetic trees were generated by exporting ribosomal protein gene sequences from the strain database as an XMFA file containing each locus as an aligned block. ClonalFrame analysis was performed for single genus datasets using ClonalFrame version 1.2 (Didelot & Falush, 2007 (link)) with default parameters. For larger datasets, up to the entire bacterial domain, the XMFA file was converted to an aligned concatenated sequence for Neighbor-joining tree analysis using Mega version 5 (Kumar et al., 2008 (link)) with ambiguous positions removed for each sequence pair. Split decomposition analysis was performed using SplitsTree version 4 (Huson & Bryant, 2006 (link)) for species level datasets. Dendroscope (Huson et al., 2007 (link)) was used to visualize large trees.
To assess congruence, maximum-likelihood (ML) phylogenetic trees were constructed using Paup version 4 beta 10 (Swofford, 1998 ) on finished genomes from the entire Bacilli class (n=144). ML trees for ten ribosomal protein genes (rpsB, rpsC, rpsD, rpsE, rpsG, rpsI, rpsK, rpsL, rpsP and rpsT) with sizes between 400 – 1100 bp were computed and compared using the Shimodaira-Hasegawa test, which determines if significant differences occur among the tree topologies (differences in log likelihood, Δ-ln L). Randomisation tests were then performed (Holmes et al., 1999 (link)), where the Δ –ln L values for each of the genes were compared to the equivalent values computed for 200 random trees created from each gene. This analysis was carried out on finished genomes from the entire Bacilli class (n=144).
Jolley K.A., Bliss C.M., Bennett J.S., Bratcher H.B., Brehony C., Colles F.M., Wimalarathna H., Harrison O.B., Sheppard S.K., Cody A.J, & Maiden M.C. (2012). Ribosomal multilocus sequence typing: universal characterization of bacteria from domain to strain. Microbiology, 158(Pt 4), 1005-1015.
Publication 2012
Bacteria BP 400 Gene Products, Protein Genes Genome Lacticaseibacillus casei Ribosomal Proteins Ribosomes Strains Trees
3
CoNet: Powerful Bipartite Network Inference
CoNet offers a series of features that distinguish it from other network inference tools, such as its support for object groups. This feature allows a user to assign objects to different groups (
e.g. metabolites and enzymes). Relationships can then be inferred only between different object types (resulting in a bipartite network) or only within the same object type. CoNet's treatment of two input matrices is built upon this feature.
Furthermore, CoNet can handle row metadata, which allows for instance to infer links between objects at different hierarchical levels (
e.g. between order Lactobacillales and genus Ureaplasma) while preventing links between different levels of the same hierarchy (e.g. Lactobacillales and Lactobacillaceae). CoNet can also read in sample metadata such as temperature or oxygen concentration. When sample metadata are provided, associations among metadata items and between taxa and metadata items are inferred in addition to the taxon associations. Metadata are then represented as additional nodes in the resulting network. In addition, CoNet recognizes abundance tables generated from biom files (
McDonald
et al., 2012) and, in its Cytoscape 3.× version, reads biom files in HDF5 format directly, using the BiomIO Java library (
Ladau ). Taxonomic lineages in biom files or biom-derived tables are automatically parsed and displayed as node attributes of the resulting network. For instance, the lineage "k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Lactobacillaceae; g__Lactobacillus; s_Lactobacillus acidophilus" of an operating taxonomic unit with identifier 12 would create a kingdom, phylum, class, order, family, genus and species attribute in the node property table for node OTU-12, filled with the corresponding values from the lineage. CoNet also computes a node's total edge number as well as the number of positive and negative edges, the total row sum and the number of samples in which the object was observed (e.g. was different from zero or a missing value).
To ease the selection of suitable preprocessing steps, CoNet can display input matrix properties and recommendations based on them. Importantly, CoNet can also handle missing values, by omitting sample pairs with missing values from the association strength calculation. Finally, CoNet supports a few input and output network formats absent in Cytoscape, including adjacency matrices (import), dot (the format of GraphViz (
http://www.graphviz.org/)) and VisML (VisANT's format (
Hu
et al., 2013)) (both for export).
Faust K, & Raes J. (2016). CoNet app: inference of biological association networks using Cytoscape. F1000Research, 5, 1519.
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Publication 2016
Bacteria cDNA Library Enzymes Firmicutes Lacticaseibacillus casei Lactobacillaceae Lactobacillales Lactobacillus Lactobacillus acidophilus Oxygen Ureaplasma
4
Mycobacterium tuberculosis Strain H37Rv
MTB H37Rv was used for all experiments with the single exception of one experiment performed in M. smegmatis (Supplementary Fig. 21). This MTB strain was fully sequenced by the Broad Institute (GI:397671778). For Chip-Seq, cells were cultured in Middle brook 7H9 with ADC (Difco), 0.05% Tween 80, and 50 µg ml−1 hygromycin B at 37 °C with constant agitation and induced with 100 ng ml−1 anhydrotetracycline (ATc) during mid-log-phase growth, and ChIP was performed using a protocol optimized for mycobacteria and related Actinomycetes. For the hypoxia and re-aeration time-course, bacilli were cultured in bacteriostatic oxygen-limited conditions (1% aerobic O2 tension) for seven days, followed by re-aeration. Bacteria were cultured in Sauton’s medium without detergent or exogenous lipid source. Profiling samples were collected as described in the Supplementary Text. All data available at http://TBDB.org. Expression data also available at GEO (accession number GSE43466).
Galagan J.E., Minch K., Peterson M., Lyubetskaya A., Azizi E., Sweet L., Gomes A., Rustad T., Dolganov G., Glotova I., Abeel T., Mahwinney C., Kennedy A.D., Allard R., Brabant W., Krueger A., Jaini S., Honda B., Yu W.H., Hickey M.J., Zucker J., Garay C., Weiner B., Sisk P., Stolte C., Winkler J.K., Van de Peer Y., Iazzetti P., Camacho D., Dreyfuss J., Liu Y., Dorhoi A., Mollenkopf H.J., Drogaris P., Lamontagne J., Zhou Y., Piquenot J., Park S.T., Raman S., Kaufmann S.H., Mohney R.P., Chelsky D., Moody D.B., Sherman D.R, & Schoolnik G.K. (2013). The Mycobacterium tuberculosis regulatory network and hypoxia. Nature, 499(7457), 178-183.
Publication 2013
Actinomycetes anhydrotetracycline Bacteria Bacteria, Aerobic Cells Chromatin Immunoprecipitation Sequencing Culture Media Detergents DNA Chips Hygromycin B Hypoxia Lacticaseibacillus casei Lipids Mycobacterium Strains Tween 80
5
Whole Genome Sequencing Microbial Identification
Genomic DNA was extracted from the isolates using the FastDNA SPIN Kit for Soil (MP Biomedicals, Santa Ana, CA, USA), and 550-bp long fragments were generated using the M220 Focused-ultrasonicator (Covaris Ltd, Brighton, UK). The sequencing library was constructed using the TruSeq DNA Library LT kit (Illumina, San Diego, CA, USA), according to the manufacturer's protocols. WGS was performed on an Illumina MiSeq system (Illumina) with a 300 bp paired-end reads sequencing kit (MiSeq Reagent Kit v3; Illumina).
The raw data from the MiSeq instrument in the FASTQ format were directly uploaded to the TrueBac ID cloud system (www.truebacid.com) and analyzed with the TrueBac ID-Genome system. The current version of the system uses trimmomatic for filtering low-quality reads [13 (link)]. The genome assembly was then carried out using the SPAdes software [14 (link)], as well as proprietary software specifically designed for the assembly of the 16S rRNA gene from the raw data.
The main section of the TrueBac ID-Genome system consists of (1) the proprietary reference database, named the TrueBac database, which is curated to hold up-to-date nomenclature, 16S rRNA gene, and genome sequences of type/reference strains, and (2) the optimized bioinformatics pipeline that provides the identification of a query genome sequence using the average nucleotide identity (ANI) [4 (link)8 (link)15 (link)]. We used TrueBac database version 2018-08, which contains 10,439 genomes representing 10,152 species and 287 subspecies (7,702 with valid names, 261 with invalid names, 138 with Candidatus names [16 (link)], and 2,338 genomospecies). Genomospecies is defined as a hitherto unknown species that is supported by its genome sequences [17 (link)18 19 (link)]. The database also contains 18,476 16S rRNA gene sequences representing each species/subspecies.
The algorithmic identification scheme using WGS was slightly modified from that of Yoon, et al. [5 (link)]. First, the most phylogenetically closely related pool of taxa was identified using a search of three genes—16S rRNA, recA, and rplC—which were extracted from the whole genome assembly [5 (link)]. The latter two genes were a part of the 92 recently defined bacterial core genes [20 (link)]. The taxonomically meaningful similarity of 16S rRNA gene sequences was calculated as previously described [21 (link)]. In addition to the gene-based searches, we used the Mash tool (https://github.com/marbl/mash) for additional fast whole-genome based searches [22 (link)]. The top-hits of the above four searches were then pooled, and the ANI was calculated using the MUMmer tool (http://mummer.sourceforge.net/) [15 (link)].
The algorithmic cut-off for species-level identification was set at 95% ANI [8 (link)15 (link)]. If the closely related taxa in a 16S rRNA gene comparison did not have the corresponding genome sequences in the database, the species assignment was made when the 16S rRNA gene sequence similarity to the best hit taxon was ≥99% with >0.8% separation between species [23 ]. Using these criteria, a genome sequence could be assigned to a species held in the TrueBac database, identified to the genus level (e.g. Bacillus sp.), identified as a novel species (e.g., Chryseobacterium sp. nov.), or regarded as unidentifiable.
In some cases, two or more species belonging to the same species were not yet formally reclassified. For isolates assigned to these species, the TrueBac ID system generated the final decision as a “species group” instead of individual species.
Ha S.M., Kim C.K., Roh J., Byun J.H., Yang S.J., Choi S.B., Chun J, & Yong D. (2019). Application of the Whole Genome-Based Bacterial Identification System, TrueBac ID, Using Clinical Isolates That Were Not Identified With Three Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) Systems. Annals of Laboratory Medicine, 39(6), 530-536.
Publication 2019
ARID1A protein, human Chryseobacterium DNA Library Genes Genes, Bacterial Genome Lacticaseibacillus casei Nucleotides Ribosomal RNA Genes RNA, Ribosomal, 16S Species Specificity Strains

Most recents protocols related to «Lacticaseibacillus casei»

1
Identification and Characterization of Antimicrobial Lactobacillus Strains
Not available on PMC !

Example 3

3.1 Sequence Analysis and Phylogenetic Tree Identification of MG4272 and MG4288 Strains

16S rRNA gene sequencing was performed using universal rRNA gene primers (27F, 1492R) of MG4272 and MG4288 strains. Each process was performed through Sol-gent (Daejeon, Korea). The analyzed sequences were compared and identified with the Genebank database using the Basic Local Alignment Search Tool (Blast) of the National Center for Biotechnology Institute (NCBI). The phylogenetic tree was created using the neighbor joining method of MEGA 7.0 software. The 16s rRNA sequence of the analyzed MG4272 strain was shown as SEQ ID NO: 1, and 16s rRNA base sequence of the MG4288 strain was shown in SEQ ID NO: 2. The phylogenetic tree of the MG4272 and MG4288 strains was shown in FIG. 3.

As shown in FIG. 3, the two strains with superior antimicrobial activity against Gardnerella vaginalis and Candida albicans were identified to be Lactobacillus paracasei MG4272 and Lactobacillus rhamnosus MG4288 based on the 16S rRNA sequences analysis. The identified Lactobacillus paracasei MG4272 was deposited on Mar. 12, 2019 on the Korean Collection for Type Culture (Korea) and was assigned accession number KCTC13822BP. Lactobacillus rhamnosus MG4288 was deposited on Mar. 12, 2019 on the Korean Collection for Type Culture (Korea) and was assigned accession number KCTC13823BP.

3.2 Identification of Morphological Characteristics of MG4272 and MG4288 Strains

To identify the morphological characteristics of MG4272 and MG4288 strains, the MG4272 and MG4288 strains were immobilized in 1% glutaraldehyde (Sigma-Aldrich, Saint Louise, USA) solution at 4° C. for 24 hours, and were dehydrated with ethanol and observed using a scanning electron microscope (Field emission scanning electron microscope, 54300, Hitach, Tokyo, Japan). The observed results are shown in FIG. 4.

As shown in FIG. 4, the cell morphology of the MG4272 and MG4288 strains was identified to be bacillus by the scanning electron microscope.

The MG4272 and MG4288 strains selected in accordance with the present disclosure were Lactobacillus paracasei or Lactobacillus rhamnosus strains, respectively. Both Lactobacillus paracasei and Lactobacillus rhamnosus strains are listed in the standards and specifications of the Ministry of Food and Drug Safety and functional foods and are safe.

US11857580B2. Lactobacillus having antimicrobial effect on Gardnerella vaginalis and Candida albicans (2024-01-02). MEDIOGEN CO., LTD. [KR], None [KR]. Inventors: Nam-Soo Paek [KR], Chang Ho Kang [KR].
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Patent 2024
Candida albicans Ethanol Food Functional Food Gardnerella vaginalis Genes Glutaral Koreans Lacticaseibacillus casei Lacticaseibacillus paracasei Lactobacillus casei rhamnosus Microbicides Oligonucleotide Primers Pharmaceutical Preparations Ribosomal RNA Genes RNA, Ribosomal, 16S Safety Scanning Electron Microscopy Strains
2
Diagnosing Bacterial and Fungal Infections
Bacterial infections are classified as bacteremia or site-specific infections. Multiple positive blood cultures for different organisms on the same day are considered distinct events. If bacterial isolates were a possible skin contaminant (diphtheria, bacillus or coagulase-negative staphylococci) and were isolated in only one blood culture, they were excluded unless systemic antibiotics were given. Infections were recorded if there was a microbiologic or histopathologic diagnosis, and the date of onset of infection was defined as the date on which diagnostic testing was performed. A second event was considered if repeated positive cultures and intermediate cultures were negative >21 days after the initial diagnosis. Site-specific bacterial infection was defined as evidence of bacterial infection by the culture of a normally sterile site or culture of a nonsterile site and evidence of tissue invasion. Lower respiratory tract infection was defined as the detection of a respiratory virus in bronchoalveolar lavage fluid with new or changing pulmonary infiltrates and lower respiratory tract symptoms. Invasive mycosis may be present, and fungal infection is documented. Infections caused by respiratory viruses were classified as upper respiratory tract infections if the virus was detected in nasopharyngeal/throat washes or swabs, sinuses or sputum without symptoms or clinical evidence of lower respiratory tract infection.
Gao Z., Lian Y., Ti J., Ren R, & Ma L. (2023). Therapeutic efficacy and infectious complications of CD19-targeted chimeric antigen receptor-modified T cell immunotherapy. Anti-Cancer Drugs, 34(4), 551-557.
Publication 2023
Antibiotics Bacteremia Bacteria Bacterial Infections Blood Culture Bronchoalveolar Lavage Fluid Coagulase Diagnosis Diphtheria Infection Lacticaseibacillus casei Lung Mycoses Nasopharynx Pharynx Respiratory Rate Respiratory Tract Infections Signs and Symptoms, Respiratory Sinuses, Nasal Skin Sputum Staphylococcus Sterility, Reproductive Tissues Upper Respiratory Infections Virus
3
CRISPRi Knockdown and Complementation in Mycobacterium tuberculosis
Individual CRISPRi plasmids were cloned as previously described in Bosch et al., 2021 (link) using Addgene plasmid #166886. Briefly, the CRISPRi plasmid backbone was digested with BsmBI-v2 (NEB #R0739L) and gel purified. sgRNAs were designed to target the non-template strand of the target gene ORF. For each individual sgRNA, two complementary oligonucleotides with appropriate sticky end overhangs were annealed and ligated (T4 ligase NEB # M0202M) into the BsmBI-digested plasmid backbone. Successful cloning was confirmed by Sanger sequencing.
Individual CRISPRi plasmids were then electroporated into Mtb. Electrocompetent cells were obtained as described in Murphy et al., 2015 (link). Briefly, a WT Mtb culture was expanded to an OD600 = 0.8–1.0 and pelleted (4000 × g for 10 min). The cell pellet was washed three times in sterile 10% glycerol. The washed bacilli were then resuspended in 10% glycerol in a final volume of 5% of the original culture volume. For each transformation, 100 ng plasmid DNA and 100 μL of electrocompetent mycobacteria were mixed and transferred to a 2 mm electroporation cuvette (Bio-Rad #1652082). Where necessary, 100 ng of plasmid plRL19 (Addgene plasmid #163634) was also added. Electroporation was performed using the Gene Pulser X cell electroporation system (Bio-Rad #1652660) set at 2500 V, 700 Ω, and 25 μF. Bacteria were recovered in 7H9 for 24 hr. After the recovery incubation, cells were plated on 7H10 agar supplemented with the appropriate antibiotic to select for transformants.
To complement CRISPRi-mediated gene knockdown, synonymous mutations were introduced into the complementing allele at both the protospacer adjacent motif (PAM) and seed sequence (the 8–10 most PAM-proximal bases at the 3’ end of the sgRNA targeting sequence) to prevent sgRNA targeting, as described here (Wong and Rock, 2021 (link)). Silent mutations were introduced into Gibson assembly oligos to generate these ‘CRISPRi resistant’ (CR) alleles. Complementation alleles were expressed from hsp60 promoters in a Tweety integrating plasmid backbone, as indicated in each figure legend and/or the relevant plasmid maps (Supplementary file 1). These alleles were then transformed into the corresponding CRISPRi knockdown strain.
The full list of sgRNA targeting sequences and complementation plasmids can be found in Supplementary file 1.
Wong A.I., Beites T., Planck K.A., Fieweger R.A., Eckartt K.A., Li S., Poulton N.C., VanderVen B.C., Rhee K.Y., Schnappinger D., Ehrt S, & Rock J. (2023). Cyclic AMP is a critical mediator of intrinsic drug resistance and fatty acid metabolism in M. tuberculosis. eLife, 12, e81177.
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Publication 2023
2',5'-oligoadenylate Agar Alleles Antibiotics Bacteria Base Sequence Cells Electroporation Gene Knockdown Techniques Genetic Template Genitalia Glycerin Lacticaseibacillus casei Ligase Microtubule-Associated Proteins Mycobacterium Oligonucleotides Plasmids Silent Mutation Sterility, Reproductive Strains Vertebral Column
4
Maintaining Mycobacterial Stocks and Murine TB
Maintenance of mycobacterial stocks and propagation of bacteria, as well as mouse infection were carried out as previously described [31 (link)]. Bacterial stock of M. tuberculosis strain Erdman (Dr. Frank Collins, Trudeau Institute, Saranac Lake, NY) was prepared by passage through mice to maintain virulence, expanded once by culture in 7H9 liquid medium (Difco), and stored in 3x108 bacilli/ml aliquots at -80°C until use. Before infection, aliquot was thawed, diluted 1:10 in PBS with 0.05% Tween 80 (Sigma), and sonicated to achieve uniform suspension. Mice were infected by aerosol using the Lovelace nebulizer (In-Tox Products, Moriarty, NM) with M. tuberculosis diluted to a concentration calibrated to deliver approximately 100 bacilli to the lungs. The 100 CFU dose is considered the “conventional” inoculum used in the murine tuberculosis model. Inoculum dose was confirmed by colony counts on 7H10 agar plates (Difco) of whole lung homogenates at 16 to 24 hours post-aerosol for each experiment.
Chen Y., Bharrhan S., Xu J., Sharma T., Wang Y., Salgame P., Zhang J., Nargan K., Steyn A.J., Maglione P.J, & Chan J. (2023). B cells promote granulomatous inflammation during chronic Mycobacterium tuberculosis infection in mice. PLOS Pathogens, 19(3), e1011187.
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Publication 2023
Agar Bacteria Genes, Bacterial Infection Klebsiella pneumoniae Lacticaseibacillus casei Lung Mus Mycobacterium Mycobacterium tuberculosis Nebulizers Strains Tuberculosis Tween 80 Virulence
5
Fluorescent Mycobacterium tuberculosis Strains
Recombinant strains of Mtb H37Rv expressing an enhanced green fluorescent protein (GFP) or a red fluorescent protein DsRed [49 (link)] were cultured in Middlebrook 7H9 medium (Difco) supplemented with 10% oleic acid-albumin-dextrose-catalase (OADC, Difco), 0.2% glycerol (Euromedex), 0.05% Tween 80 (Sigma-Aldrich) and 50 μg/ml hygromycin (ThermoFisher Scientific) or 25 μg/ml kanamycin (Sigma-Aldrich) for H37Rv-GFP or H37Rv-DsRed, respectively. Cultures were maintained for 14 days until the exponential phase was reached. Before cell infection, bacilli were washed with Dulbecco’s Phosphate Buffered Saline (DPBS, free from MgCl2 and CaCl2, Gibco), resuspended in 10 mL RPMI-FBS and centrifuged at 1000 RPM for 2 min at room temperature to remove bacterial aggregates. Bacterial titer of the suspension was determined by measuring the optical density (OD600 nm) and GFP or DsRed fluorescence on a Victor Multilabel Counter (Perkin Elmer). The bacterial suspension was diluted at the required titre in RPMI 1640 supplemented with 10% FBS prior to infection. For in vivo studies, the non-fluorescent Mtb H37Rv strain were grown in Middlebrook 7H9 medium, as described previously [50 (link),51 (link)].
Belhaouane I., Pochet A., Chatagnon J., Hoffmann E., Queval C.J., Deboosère N., Boidin-Wichlacz C., Majlessi L., Sencio V., Heumel S., Vandeputte A., Werkmeister E., Fievez L., Bureau F., Rouillé Y., Trottein F., Chamaillard M., Brodin P, & Machelart A. (2023). Tirap controls Mycobacterium tuberculosis phagosomal acidification. PLOS Pathogens, 19(3), e1011192.
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Publication 2023
Albumins Bacteria Catalase Cells enhanced green fluorescent protein Fluorescence Glucose Glycerin Green Fluorescent Proteins hygromycin A Infection Kanamycin Lacticaseibacillus casei Magnesium Chloride Oleic Acid Phosphates red fluorescent protein Saline Solution Strains Tween 80 Vision

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Tween 80 is a non-ionic surfactant and emulsifier. It is a viscous, yellow liquid that is commonly used in laboratory settings to solubilize and stabilize various compounds and formulations.
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Middlebrook 7h9 broth by BD
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More about "Lacticaseibacillus casei"

Lacticaseibacillus casei, also known as Lactobacillus casei, is a species of lactic acid bacteria commonly used in probiotic and fermentation applications.
This hardy microorganism is found in a variety of fermented dairy products, such as cheese and yogurt, as well as in the human gut.
Lacticaseibacillus casei is known for its ability to produce lactic acid, which helps to create the tangy flavor and preserve the quality of fermented foods.
It is also a popular probiotic supplement due to its potential health benefits, including supporting digestive and immune function.
When studying Lacticaseibacillus casei, researchers may utilize various growth media and culturing techniques.
For example, Tween 80 is often added to growth media like Middlebrook 7H9 broth or MRS broth to enhance the growth and survival of this bacterial species.
The Xpert MTB/RIF assay and GeneXpert MTB/RIF systems may also be used to detect and identify Lacticaseibacillus casei in clinical or environmental samples.
To optimize Lacticaseibacillus casei research, scientists can leverage the power of AI-driven platforms like PubCompare.ai.
This tool allows researchers to easily locate relevant protocols from the literature, preprints, and patents, and use AI-driven comparisons to identify the best protocols and products for their specific study needs.
By streamlining their research process with PubCompare.ai's analytics and tools, researchers can save time and improve the efficiency of their Lacticaseibacillus casei studies.
Whether you're interested in the probiotic properties of Lacticaseibacillus casei, its role in fermentation, or its potential applications in human and animal health, PubCompare.ai can be a valuable resource to support your research efforts.