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filmtracertm syprotm ruby biofilm matrix stain  (Thermo Fisher)


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    Thermo Fisher filmtracertm syprotm ruby biofilm matrix stain
    Characteristics of in situ <t>biofilm</t> and hospital wastewater samples. ( a ) Placement of plastic slides in hospital wastewater for in situ biofilm formation and collection of wastewater sample. ( b ) In situ biofilm samples before and after crystal-violet staining. ( c ) Fluorescent staining of in situ biofilm structure: green, red, and blue represent nucleic acids, proteins, and polysaccharides, respectively. ( d ) Comparison of contamination levels based on antimicrobial resistance between hospital wastewater and in situ biofilm. Statistical analysis using unpaired t -test; ∗∗∗p < 0.0001. DHL: deoxycholate hydrogen sulfide lactose, CTX: cefotaxime. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Filmtracertm Syprotm Ruby Biofilm Matrix Stain, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matrix/Concanavalin+A/pmc13320429-86-21-27
    Average 98 stars, based on 1 article reviews
    filmtracertm syprotm ruby biofilm matrix stain - by Bioz Stars, 2026-10
    98/100 stars

    Images

    1) Product Images from "Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm"

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    Journal: Biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Characteristics of in situ biofilm and hospital wastewater samples. ( a ) Placement of plastic slides in hospital wastewater for in situ biofilm formation and collection of wastewater sample. ( b ) In situ biofilm samples before and after crystal-violet staining. ( c ) Fluorescent staining of in situ biofilm structure: green, red, and blue represent nucleic acids, proteins, and polysaccharides, respectively. ( d ) Comparison of contamination levels based on antimicrobial resistance between hospital wastewater and in situ biofilm. Statistical analysis using unpaired t -test; ∗∗∗p < 0.0001. DHL: deoxycholate hydrogen sulfide lactose, CTX: cefotaxime. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Figure Legend Snippet: Characteristics of in situ biofilm and hospital wastewater samples. ( a ) Placement of plastic slides in hospital wastewater for in situ biofilm formation and collection of wastewater sample. ( b ) In situ biofilm samples before and after crystal-violet staining. ( c ) Fluorescent staining of in situ biofilm structure: green, red, and blue represent nucleic acids, proteins, and polysaccharides, respectively. ( d ) Comparison of contamination levels based on antimicrobial resistance between hospital wastewater and in situ biofilm. Statistical analysis using unpaired t -test; ∗∗∗p < 0.0001. DHL: deoxycholate hydrogen sulfide lactose, CTX: cefotaxime. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Techniques Used: In Situ, Staining, Comparison

    Taxonomic and functional gene profiles of in situ biofilm and hospital wastewater based on shotgun metagenomic data. Relative abundance of bacterial taxa at the order ( a ) and family ( b ) levels in in situ biofilm and hospital wastewater samples. ( c ) Distribution of genes associated with resistance to antibiotics, biocides, acids, heat, and metals, as well as virulence, shown at the metagenome-assembled genome (MAG) and contig levels for biofilm (BF) and hospital wastewater (HW). MLS: macrolide-lincosamide-streptogramin.
    Figure Legend Snippet: Taxonomic and functional gene profiles of in situ biofilm and hospital wastewater based on shotgun metagenomic data. Relative abundance of bacterial taxa at the order ( a ) and family ( b ) levels in in situ biofilm and hospital wastewater samples. ( c ) Distribution of genes associated with resistance to antibiotics, biocides, acids, heat, and metals, as well as virulence, shown at the metagenome-assembled genome (MAG) and contig levels for biofilm (BF) and hospital wastewater (HW). MLS: macrolide-lincosamide-streptogramin.

    Techniques Used: Functional Assay, In Situ

    Network analysis of metagenome-assembled genomes, functional genes, and mobile genetic elements based on shotgun metagenomic data. Networks of metagenome-assembled genomes (MAGs) and genes related to antimicrobial resistance (AMR), biocide and metal resistance, insertion sequences (ISs), integron, and virulence are depicted for biofilm ( a ) and hospital wastewater ( b ) samples. Nodes represent individual sequences and edges indicate co-occurrence within the same MAG or contig.
    Figure Legend Snippet: Network analysis of metagenome-assembled genomes, functional genes, and mobile genetic elements based on shotgun metagenomic data. Networks of metagenome-assembled genomes (MAGs) and genes related to antimicrobial resistance (AMR), biocide and metal resistance, insertion sequences (ISs), integron, and virulence are depicted for biofilm ( a ) and hospital wastewater ( b ) samples. Nodes represent individual sequences and edges indicate co-occurrence within the same MAG or contig.

    Techniques Used: Functional Assay

    Differential gene expression profiles between biofilm and hospital wastewater based on metatranscriptomic data. ( a ) Number of genes with higher (Up) or lower (Down) expression in biofilm (BF) compared to hospital wastewater (HW) across all genes. ( b ) Number of genes with significantly different expression (p < 0.05) between BF and HW. ( c ) Volcano plot showing genes with significant expression differences (p < 0.05) between BF and HW, where colors describe functional categories. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Figure Legend Snippet: Differential gene expression profiles between biofilm and hospital wastewater based on metatranscriptomic data. ( a ) Number of genes with higher (Up) or lower (Down) expression in biofilm (BF) compared to hospital wastewater (HW) across all genes. ( b ) Number of genes with significantly different expression (p < 0.05) between BF and HW. ( c ) Volcano plot showing genes with significant expression differences (p < 0.05) between BF and HW, where colors describe functional categories. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Techniques Used: Gene Expression, Expressing, Functional Assay

    Maximum-likelihood phylogenetic tree of Citrobacter species, including isolates from in situ biofilm sample and publicly available genomes. The tree was constructed using core genome sequences and annotated with metadata including sequence type (ST), isolation source, country of origin, and β-lactamase gene profiles.
    Figure Legend Snippet: Maximum-likelihood phylogenetic tree of Citrobacter species, including isolates from in situ biofilm sample and publicly available genomes. The tree was constructed using core genome sequences and annotated with metadata including sequence type (ST), isolation source, country of origin, and β-lactamase gene profiles.

    Techniques Used: In Situ, Construct, Sequencing, Isolation

    Related Articles

    other:

    Article Title: Glycoengineering CAR-T cells to overcome galectin-3-mediated immunosuppression.
    Article Snippet: One 1 ml of sample was mixed with 1 ml of matrix (10 mg/ml 3,4-diaminobenzophenone (Acros Organics) in 75% (v/v) aqueous acetonitrile) and spotted onto a MALDI plate.

    Article Title: Chemotaxis overrides killing response in alloreactive cytotoxic T-cells providing vascular immune privilege during cellular rejection
    Article Snippet: Conditionally immortalized glomerular endothelial cells (CIGENCs) were seeded into microfluidic channels (μ-slide VI0.4, Ibidi) pre-coated with extracellular matrix (100 μg/mL type I collagen from rat tail, Gibco), with or without supplementation of CXCL12 (R&D, 350-NS, 80 ng/mL).

    Article Title: Proteo-Transcriptomic Analysis of the Venom Gland of the Cone Snail Cylinder canonicus Reveals the Origin of the Predatory-Evoked Venom
    Article Snippet: In parallel, a solution of α-cyano-4-hydroxycinnamic acid (HCCA, ACROS Organics, USA) matrix was saturated at 10 mg/mL by dissolving 10.0 mg of HCCA in 1 mL of 30% ACN in aqueous 0.1% TFA (70:30:0.1, ACN/H2O/TFA).

    Article Title: Glycoengineering CAR-T cells to overcome galectin-3-mediated immunosuppression
    Article Snippet: One 1 μl of sample was mixed with 1 μl of matrix (10 mg/ml 3,4-diaminobenzophenone (Acros Organics) in 75% (v/v) aqueous acetonitrile) and spotted onto a MALDI plate.

    Article Title: Proteomic Identification of Cytokeratin 19 Association with Retromer Reveals a Connection with Cellular Dynamics.
    Article Snippet: After the droplets were air-dried at r. t., 0.5 μL matrix (5 mg/mL α-cyano-4-hydroxycinnamic acid), containing 0.1% (v/v) trifluoroacetic acid in acetonitrile:H2O (1:1), was added and allowed to air-dry at r. t. The resulting samples were analyzed in a 4700 Proteomics Analyzer (Applied Biosystems, Waltham, MA, USA) in positive reflectron mode (2000 shots/position).

    Cell Culture:

    Article Title: Simultaneous LC-MS determination of glucose regulatory peptides secreted by stem cell-derived islet organoids.
    Article Snippet: .. In the organoids chamber, batches of 3−6 SC-islets were embedded in extracellular matrix (Geltrex, Gibco, cat. n A1569601) and cultured for 7 days under perfusion. ..

    Article Title: Chemotaxis overrides the killing response in alloreactive CTLs, providing vascular immune privilege during cellular rejection
    Article Snippet: .. ciGENCs were seeded into microfluidic channels (μ-slide VI0.4, Ibidi) precoated with extracellular matrix (100 μg/mL type I collagen from rat tail, Gibco, Thermo Fisher Scientific), with or without supplementation of CXCL12 (R&D Systems, 350-NS, 80 ng/mL). ciGENCs were cultured at 33°C until confluence, and then at 37°C for 5 days to induce differentiation, using complete EC growth medium (Lonza, EGM-2 MV, CC-3202). ..

    Mass Spectrometry:

    Article Title: Key charged residues influence the amyloidogenic propensity of the helix-1 region of serum amyloid A.
    Article Snippet: Increased plasma levels of serum amyloid A (SAA), an acute-phase protein that is secreted in response to inflammation, may lead to the accumulation of amyloid in various organs thereby obstructing their functions.. Severe cases can lead to a systemic disorder called AA amyloidosis.. Previous studies suggest that the N-terminal helix is the most amyloidogenic region of SAA.



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    Image Search Results


    Concentration-dependent change in the humoral inflammatory response following incubation with Escherichia coli ( E. coli ) in the ex vivo whole blood model. a Absolute plasma concentrations of IL-6, IL-8, and MMP9 determined by enzyme-linked immunosorbent assay. b Normalized values and EC 50 curve fit by BuC=0% and 50 000 CFU/ml E. coli= 100%, respectively, for IL-6, IL-8, and MMP9 as indicated by EC 50 (%) on the respective Y-axis. BuC indicates buffer control after 60 min incubation; numbers on the X-axis indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation; LPS indicates lipopolysaccharide (LPS) 100 ng/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, comparing all shown concentrations of E. coli bacteria and 100 ng/ml LPS with BuC. P -values are indicated above the respective data points. ⁎ P <0.05, ⁎⁎ P <0.01, ⁎⁎⁎ P <0.001. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

    Journal: Military Medical Research

    Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

    doi: 10.1016/j.mmr.2026.100010

    Figure Lengend Snippet: Concentration-dependent change in the humoral inflammatory response following incubation with Escherichia coli ( E. coli ) in the ex vivo whole blood model. a Absolute plasma concentrations of IL-6, IL-8, and MMP9 determined by enzyme-linked immunosorbent assay. b Normalized values and EC 50 curve fit by BuC=0% and 50 000 CFU/ml E. coli= 100%, respectively, for IL-6, IL-8, and MMP9 as indicated by EC 50 (%) on the respective Y-axis. BuC indicates buffer control after 60 min incubation; numbers on the X-axis indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation; LPS indicates lipopolysaccharide (LPS) 100 ng/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, comparing all shown concentrations of E. coli bacteria and 100 ng/ml LPS with BuC. P -values are indicated above the respective data points. ⁎ P <0.05, ⁎⁎ P <0.01, ⁎⁎⁎ P <0.001. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

    Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

    Techniques: Concentration Assay, Incubation, Ex Vivo, Clinical Proteomics, Enzyme-linked Immunosorbent Assay, Control, Bacteria

    Diagnostic performance for the detection of bacteremia, analyzing the neutrophil phenotype by determining the median fluorescence intensity (MFI) and the cellular response capacity (CRC) in comparison with traditional markers of humoral inflammation (IL-6, IL-8, MMP9). a Comparison of receiver operating characteristic (ROC) at 10,000 CFU/ml Escherichia coli ( E. coli ) with the respective 95% confidence interval (CI) and P -value, and half-maximal effective concentration (EC 50 ) as a function of the E. coli concentration. b Detailed comparison of the EC 50 as a function of the E. coli concentration. c Exemplary comparison of EC 50 curve fit after normalization as indicated by EC 50 (%) on the respective Y-axis to BuC=100% and 50 000 CFU/ml E. coli =0% for the humoral marker IL-6 (the IL-6 values were multiplied by −1 before EC 50 calculation to facilitate comparability with the CRC) and the change in neutrophil phenotype represented by CD11b CRC. BuC indicates buffer control after 60 min incubation; numbers on the X-axis of c indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, evaluating the EC 50 of IL-8, MMP9, the MFI, and CRC of CD10, CD11b, and CD62L in comparison to the EC 50 of IL-6. P -values are indicated above the respective data points. ⁎ P <0.05. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

    Journal: Military Medical Research

    Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

    doi: 10.1016/j.mmr.2026.100010

    Figure Lengend Snippet: Diagnostic performance for the detection of bacteremia, analyzing the neutrophil phenotype by determining the median fluorescence intensity (MFI) and the cellular response capacity (CRC) in comparison with traditional markers of humoral inflammation (IL-6, IL-8, MMP9). a Comparison of receiver operating characteristic (ROC) at 10,000 CFU/ml Escherichia coli ( E. coli ) with the respective 95% confidence interval (CI) and P -value, and half-maximal effective concentration (EC 50 ) as a function of the E. coli concentration. b Detailed comparison of the EC 50 as a function of the E. coli concentration. c Exemplary comparison of EC 50 curve fit after normalization as indicated by EC 50 (%) on the respective Y-axis to BuC=100% and 50 000 CFU/ml E. coli =0% for the humoral marker IL-6 (the IL-6 values were multiplied by −1 before EC 50 calculation to facilitate comparability with the CRC) and the change in neutrophil phenotype represented by CD11b CRC. BuC indicates buffer control after 60 min incubation; numbers on the X-axis of c indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, evaluating the EC 50 of IL-8, MMP9, the MFI, and CRC of CD10, CD11b, and CD62L in comparison to the EC 50 of IL-6. P -values are indicated above the respective data points. ⁎ P <0.05. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

    Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

    Techniques: Diagnostic Assay, Fluorescence, Comparison, Concentration Assay, Marker, Control, Incubation, Bacteria

    Clinical specifications and parameters over all time points of the sepsis cohort. a Suspected infection cause of sepsis. b Distribution of the individual score points of the Sequential Organ Failure Assessment (SOFA) score. c Total SOFA score. d-h Traditional and humoral markers of inflammation: leukocytes and neutrophil-lymphocyte ratio ( d ), C-reactive protein (CRP) and procalcitonin (PCT) ( e ), interleukin-6 (IL-6) and interleukin-8 (IL-8) ( f ), serum amyloid A (SAA) and calprotectin ( g ), matrix metallopeptidase 9 (MMP9) and myeloperoxidase (MPO) ( h ). Values are shown as median and interquartile range. n =14. CNS. Central nervous system; HV. Healthy volunteers.

    Journal: Military Medical Research

    Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

    doi: 10.1016/j.mmr.2026.100010

    Figure Lengend Snippet: Clinical specifications and parameters over all time points of the sepsis cohort. a Suspected infection cause of sepsis. b Distribution of the individual score points of the Sequential Organ Failure Assessment (SOFA) score. c Total SOFA score. d-h Traditional and humoral markers of inflammation: leukocytes and neutrophil-lymphocyte ratio ( d ), C-reactive protein (CRP) and procalcitonin (PCT) ( e ), interleukin-6 (IL-6) and interleukin-8 (IL-8) ( f ), serum amyloid A (SAA) and calprotectin ( g ), matrix metallopeptidase 9 (MMP9) and myeloperoxidase (MPO) ( h ). Values are shown as median and interquartile range. n =14. CNS. Central nervous system; HV. Healthy volunteers.

    Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

    Techniques: Infection

    Characteristics of in situ biofilm and hospital wastewater samples. ( a ) Placement of plastic slides in hospital wastewater for in situ biofilm formation and collection of wastewater sample. ( b ) In situ biofilm samples before and after crystal-violet staining. ( c ) Fluorescent staining of in situ biofilm structure: green, red, and blue represent nucleic acids, proteins, and polysaccharides, respectively. ( d ) Comparison of contamination levels based on antimicrobial resistance between hospital wastewater and in situ biofilm. Statistical analysis using unpaired t -test; ∗∗∗p < 0.0001. DHL: deoxycholate hydrogen sulfide lactose, CTX: cefotaxime. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Journal: Biofilm

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Figure Lengend Snippet: Characteristics of in situ biofilm and hospital wastewater samples. ( a ) Placement of plastic slides in hospital wastewater for in situ biofilm formation and collection of wastewater sample. ( b ) In situ biofilm samples before and after crystal-violet staining. ( c ) Fluorescent staining of in situ biofilm structure: green, red, and blue represent nucleic acids, proteins, and polysaccharides, respectively. ( d ) Comparison of contamination levels based on antimicrobial resistance between hospital wastewater and in situ biofilm. Statistical analysis using unpaired t -test; ∗∗∗p < 0.0001. DHL: deoxycholate hydrogen sulfide lactose, CTX: cefotaxime. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Article Snippet: For fluorescence staining, nucleic acid was stained with cell-permeant SYTO 9 (Thermo Fisher Scientific, Waltham, MA, USA), proteins were stained with FilmTracerTM SYPROTM Ruby Biofilm Matrix Stain (Thermo Fisher Scientific), and polysaccharides were stained with Concanavalin A conjugated to tetramethylrhodamine (Thermo Fisher Scientific).

    Techniques: In Situ, Staining, Comparison

    Taxonomic and functional gene profiles of in situ biofilm and hospital wastewater based on shotgun metagenomic data. Relative abundance of bacterial taxa at the order ( a ) and family ( b ) levels in in situ biofilm and hospital wastewater samples. ( c ) Distribution of genes associated with resistance to antibiotics, biocides, acids, heat, and metals, as well as virulence, shown at the metagenome-assembled genome (MAG) and contig levels for biofilm (BF) and hospital wastewater (HW). MLS: macrolide-lincosamide-streptogramin.

    Journal: Biofilm

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Figure Lengend Snippet: Taxonomic and functional gene profiles of in situ biofilm and hospital wastewater based on shotgun metagenomic data. Relative abundance of bacterial taxa at the order ( a ) and family ( b ) levels in in situ biofilm and hospital wastewater samples. ( c ) Distribution of genes associated with resistance to antibiotics, biocides, acids, heat, and metals, as well as virulence, shown at the metagenome-assembled genome (MAG) and contig levels for biofilm (BF) and hospital wastewater (HW). MLS: macrolide-lincosamide-streptogramin.

    Article Snippet: For fluorescence staining, nucleic acid was stained with cell-permeant SYTO 9 (Thermo Fisher Scientific, Waltham, MA, USA), proteins were stained with FilmTracerTM SYPROTM Ruby Biofilm Matrix Stain (Thermo Fisher Scientific), and polysaccharides were stained with Concanavalin A conjugated to tetramethylrhodamine (Thermo Fisher Scientific).

    Techniques: Functional Assay, In Situ

    Network analysis of metagenome-assembled genomes, functional genes, and mobile genetic elements based on shotgun metagenomic data. Networks of metagenome-assembled genomes (MAGs) and genes related to antimicrobial resistance (AMR), biocide and metal resistance, insertion sequences (ISs), integron, and virulence are depicted for biofilm ( a ) and hospital wastewater ( b ) samples. Nodes represent individual sequences and edges indicate co-occurrence within the same MAG or contig.

    Journal: Biofilm

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Figure Lengend Snippet: Network analysis of metagenome-assembled genomes, functional genes, and mobile genetic elements based on shotgun metagenomic data. Networks of metagenome-assembled genomes (MAGs) and genes related to antimicrobial resistance (AMR), biocide and metal resistance, insertion sequences (ISs), integron, and virulence are depicted for biofilm ( a ) and hospital wastewater ( b ) samples. Nodes represent individual sequences and edges indicate co-occurrence within the same MAG or contig.

    Article Snippet: For fluorescence staining, nucleic acid was stained with cell-permeant SYTO 9 (Thermo Fisher Scientific, Waltham, MA, USA), proteins were stained with FilmTracerTM SYPROTM Ruby Biofilm Matrix Stain (Thermo Fisher Scientific), and polysaccharides were stained with Concanavalin A conjugated to tetramethylrhodamine (Thermo Fisher Scientific).

    Techniques: Functional Assay

    Differential gene expression profiles between biofilm and hospital wastewater based on metatranscriptomic data. ( a ) Number of genes with higher (Up) or lower (Down) expression in biofilm (BF) compared to hospital wastewater (HW) across all genes. ( b ) Number of genes with significantly different expression (p < 0.05) between BF and HW. ( c ) Volcano plot showing genes with significant expression differences (p < 0.05) between BF and HW, where colors describe functional categories. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Journal: Biofilm

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Figure Lengend Snippet: Differential gene expression profiles between biofilm and hospital wastewater based on metatranscriptomic data. ( a ) Number of genes with higher (Up) or lower (Down) expression in biofilm (BF) compared to hospital wastewater (HW) across all genes. ( b ) Number of genes with significantly different expression (p < 0.05) between BF and HW. ( c ) Volcano plot showing genes with significant expression differences (p < 0.05) between BF and HW, where colors describe functional categories. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Article Snippet: For fluorescence staining, nucleic acid was stained with cell-permeant SYTO 9 (Thermo Fisher Scientific, Waltham, MA, USA), proteins were stained with FilmTracerTM SYPROTM Ruby Biofilm Matrix Stain (Thermo Fisher Scientific), and polysaccharides were stained with Concanavalin A conjugated to tetramethylrhodamine (Thermo Fisher Scientific).

    Techniques: Gene Expression, Expressing, Functional Assay

    Maximum-likelihood phylogenetic tree of Citrobacter species, including isolates from in situ biofilm sample and publicly available genomes. The tree was constructed using core genome sequences and annotated with metadata including sequence type (ST), isolation source, country of origin, and β-lactamase gene profiles.

    Journal: Biofilm

    Article Title: Genomic insights into activated antimicrobial resistance of in situ hospital-wastewater biofilm

    doi: 10.1016/j.bioflm.2026.100377

    Figure Lengend Snippet: Maximum-likelihood phylogenetic tree of Citrobacter species, including isolates from in situ biofilm sample and publicly available genomes. The tree was constructed using core genome sequences and annotated with metadata including sequence type (ST), isolation source, country of origin, and β-lactamase gene profiles.

    Article Snippet: For fluorescence staining, nucleic acid was stained with cell-permeant SYTO 9 (Thermo Fisher Scientific, Waltham, MA, USA), proteins were stained with FilmTracerTM SYPROTM Ruby Biofilm Matrix Stain (Thermo Fisher Scientific), and polysaccharides were stained with Concanavalin A conjugated to tetramethylrhodamine (Thermo Fisher Scientific).

    Techniques: In Situ, Construct, Sequencing, Isolation