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shigella flexneriae  (ATCC)


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    Structured Review

    ATCC shigella flexneriae
    Shigella Flexneriae, supplied by ATCC, used in various techniques. Bioz Stars score: 93/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/36282/Pseudallescheria+boydii+(Shear)+McGinnis+et+al%2E%2C+teleomorph/pm36677851-324-41-57
    Average 93 stars, based on 3 article reviews
    shigella flexneriae - by Bioz Stars, 2026-09
    93/100 stars

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    Related Articles

    Bacteria:

    Article Title: Compounds from the Petroleum Ether Extract of Wedelia chinensis with Cytotoxic, Anticholinesterase, Antioxidant, and Antimicrobial Activities.
    Article Snippet: .. Among the fourteen bacteria, five were Gram positive namely, Bacillus subtilis (QL-40), Sarcina lutea (QL-1660), Staphylococcus aureus (ATCC-259233), Bacillus megaterium (QL-38), Streptococcus-ß-haemolyticus (ATCC10389) and nine were Gram negative namely, Shigella dysenteriae (AL-35587), Shigella shiga (ATCC-26107), Shigella boydii (AL-17313), Shigella sonnei (AJ-8992), Shigella flexneriae (AM- Molecules 2023, 28, 793 11 of 13 36282), Escherichia coli (FPFC-1407), Salmonella typhi (ATCC-14028), Klebsiella species, and Pseudomonas aeruginosa (ATCC-27853). .. The pathogenic fungi were Aspergillus niger (ATCC1204), Aspergillus flavus (ATCC-9807), Candida species, and Fusarium species.

    Article Title: Compounds from the Petroleum Ether Extract of Wedelia chinensis with Cytotoxic, Anticholinesterase, Antioxidant, and Antimicrobial Activities
    Article Snippet: .. Among the fourteen bacteria, five were Gram positive namely, Bacillus subtilis (QL-40), Sarcina lutea (QL-1660), Staphylococcus aureus (ATCC-259233), Bacillus megaterium (QL-38), Streptococcus-ß-haemolyticus (ATCC-10389) and nine were Gram negative namely, Shigella dysenteriae (AL-35587), Shigella shiga (ATCC-26107), Shigella boydii (AL-17313), Shigella sonnei (AJ-8992), Shigella flexneriae (AM-36282), Escherichia coli (FPFC-1407), Salmonella typhi (ATCC-14028), Klebsiella species, and Pseudomonas aeruginosa (ATCC-27853). .. The pathogenic fungi were Aspergillus niger (ATCC-1204), Aspergillus flavus (ATCC-9807), Candida species, and Fusarium species.

    Variant Assay:

    Article Title: Rapid Differentiation of Aspergillus Species from Other Medically Important Opportunistic Molds and Yeasts by PCR-Enzyme Immunoassay
    Article Snippet: Source and characteristics of negative control isolates Organism Identification no.a Source and/or characteristic(s) Acremonium recifei ATCC 64745 Human mycetoma; India Acremonium strictum ATCC 10141 Preceptrol culture Acrinonium strictum ATCC 46646 Human mycetoma Aspergillus candidus NRRL 303 Type strain (ATCC 1002) Aspergillus candidus NRRL 312 Instituto Biologico, Brazil (ATCC 16871) Aspergillus chevalieri ATCC16443 Coffee beans Aspergillus chevalieri ATCC 24546 Poultry feed; Ohio Aspergillus clavatus ATCC 18214 Tarpaulin, fungus resistance testing Aspergillus flavipes ATCC 11013 Microbiological oxidation to lactones Aspergillus flavipes ATCC 16805 Soil; Haiti Aspergillus flavipes ATCC 24487 Possible type strain Aspergillus ochraceus NRRL 398 Type strain, produces aniline (ATCC 1008) Aspergillus ochraceus NRRL 4752 Human scalp lesions (ATCC 12066) Aspergillus parasiticus NRRL 502 Mealy bug on sugar cane Aspergillus parasiticus ATCC 56775 Highly aflatoxigenic Aspergillus parasiticus ATCC 15517 Preceptrol culture Aspergillus parasiticus CDC B-4571 Ear; Hawaii Aspergillus restrictus NRRL 151 New Orleans, La. .. Aspergillus restrictus NRRL 148 Cotton fabric; United Kingdom Aspergillus tamariib ATCC 64841 Gosling lung; Nigeria Candida albicans CDC B-311 Human clinical isolate (ATCC 32354) Candida albicans CBS 2730 Gift of R. Rüchel (laboratory variant) Candida glabrata NRRL Y-65 Type strain, feces (ATCC 2001) Candida krusei CDC 259-75 Unspecified Candida parapsilosis ATCC 22019 Type strain; case of sprue; Puerto Rico Candida tropicalis CDC 38 Unspecified Exophiala dermatitidis ATCC 28869 Preceptrol culture Exophiala jeanselmei ATCC 18148 Human foot; Maryland Exophiala moniliae ATCC 56486 Human; Japan Fusarium moniliforme CDC 118A Plant Fusarium moniliforme ATCC 38159 Human; California Fusarium oxysporum ATCC 48112 Preceptrol culture Fusarium solani CDC R2 Melon Fusarium solani ATCC 58877 Air sample; Maryland Fusarium solani ATCC 62877 Human skin; Florida Mucor circinelloides ATCC 1209b Minus strain Mucor racemosus ATCC 46130 Soybean; Taiwan Mucor racemosus ATCC 7924 Forest soil under basswood Paecilomyces carneus ATCC 46579 Soil; Japan Paecilomyces farinosus ATCC 18236 Soil; England Paecilomyces lilacinus ATCC 10114 Soil; New York Paecilomyces variotii ATCC 22319 Preceptrol culture Penicillium marneffei ATCC 58950 Human skin abscess Penicillium marneffei ATCC 64101 Human clinical isolate Penicillium marneffei ATCC 56573 Unspecified Penicillium notatum ATCC 9478 Contaminant; first penicillin producer Penicillium notatum ATCC 10108 Rotting wood; Norway Rhizopus oryzae (arrhizus) ATCC 1230 Wheat Rhizomucor pusillus ATCC 36606 Brain of cat Scedosporium apiospermum ATCC 36282 Human lung Scedosporium apiospermum ATCC 44328 Human lung; Japan Scedosporium apiospermum ATCC 64215 Human lung; Japan Scedosporium prolificans ATCC 64913 Human bone; Maine Sporothrix schenckii ATCC 58251 Human clinical isolate; Puerto Rico Sporothrix schenckii ATCC 28184 Human arm lesion a Abbreviations as in Table 1. b This isolate was deposited in the ATCC as A. flavus but was determined to more closely resemble A. tamarii by DNA sequencing in our laboratory (GenBank accession nos. ..

    DNA Sequencing:

    Article Title: Rapid Differentiation of Aspergillus Species from Other Medically Important Opportunistic Molds and Yeasts by PCR-Enzyme Immunoassay
    Article Snippet: Source and characteristics of negative control isolates Organism Identification no.a Source and/or characteristic(s) Acremonium recifei ATCC 64745 Human mycetoma; India Acremonium strictum ATCC 10141 Preceptrol culture Acrinonium strictum ATCC 46646 Human mycetoma Aspergillus candidus NRRL 303 Type strain (ATCC 1002) Aspergillus candidus NRRL 312 Instituto Biologico, Brazil (ATCC 16871) Aspergillus chevalieri ATCC16443 Coffee beans Aspergillus chevalieri ATCC 24546 Poultry feed; Ohio Aspergillus clavatus ATCC 18214 Tarpaulin, fungus resistance testing Aspergillus flavipes ATCC 11013 Microbiological oxidation to lactones Aspergillus flavipes ATCC 16805 Soil; Haiti Aspergillus flavipes ATCC 24487 Possible type strain Aspergillus ochraceus NRRL 398 Type strain, produces aniline (ATCC 1008) Aspergillus ochraceus NRRL 4752 Human scalp lesions (ATCC 12066) Aspergillus parasiticus NRRL 502 Mealy bug on sugar cane Aspergillus parasiticus ATCC 56775 Highly aflatoxigenic Aspergillus parasiticus ATCC 15517 Preceptrol culture Aspergillus parasiticus CDC B-4571 Ear; Hawaii Aspergillus restrictus NRRL 151 New Orleans, La. .. Aspergillus restrictus NRRL 148 Cotton fabric; United Kingdom Aspergillus tamariib ATCC 64841 Gosling lung; Nigeria Candida albicans CDC B-311 Human clinical isolate (ATCC 32354) Candida albicans CBS 2730 Gift of R. Rüchel (laboratory variant) Candida glabrata NRRL Y-65 Type strain, feces (ATCC 2001) Candida krusei CDC 259-75 Unspecified Candida parapsilosis ATCC 22019 Type strain; case of sprue; Puerto Rico Candida tropicalis CDC 38 Unspecified Exophiala dermatitidis ATCC 28869 Preceptrol culture Exophiala jeanselmei ATCC 18148 Human foot; Maryland Exophiala moniliae ATCC 56486 Human; Japan Fusarium moniliforme CDC 118A Plant Fusarium moniliforme ATCC 38159 Human; California Fusarium oxysporum ATCC 48112 Preceptrol culture Fusarium solani CDC R2 Melon Fusarium solani ATCC 58877 Air sample; Maryland Fusarium solani ATCC 62877 Human skin; Florida Mucor circinelloides ATCC 1209b Minus strain Mucor racemosus ATCC 46130 Soybean; Taiwan Mucor racemosus ATCC 7924 Forest soil under basswood Paecilomyces carneus ATCC 46579 Soil; Japan Paecilomyces farinosus ATCC 18236 Soil; England Paecilomyces lilacinus ATCC 10114 Soil; New York Paecilomyces variotii ATCC 22319 Preceptrol culture Penicillium marneffei ATCC 58950 Human skin abscess Penicillium marneffei ATCC 64101 Human clinical isolate Penicillium marneffei ATCC 56573 Unspecified Penicillium notatum ATCC 9478 Contaminant; first penicillin producer Penicillium notatum ATCC 10108 Rotting wood; Norway Rhizopus oryzae (arrhizus) ATCC 1230 Wheat Rhizomucor pusillus ATCC 36606 Brain of cat Scedosporium apiospermum ATCC 36282 Human lung Scedosporium apiospermum ATCC 44328 Human lung; Japan Scedosporium apiospermum ATCC 64215 Human lung; Japan Scedosporium prolificans ATCC 64913 Human bone; Maine Sporothrix schenckii ATCC 58251 Human clinical isolate; Puerto Rico Sporothrix schenckii ATCC 28184 Human arm lesion a Abbreviations as in Table 1. b This isolate was deposited in the ATCC as A. flavus but was determined to more closely resemble A. tamarii by DNA sequencing in our laboratory (GenBank accession nos. ..



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    Characterization of NP‐EVs. (a) Nanoparticle tracking analysis of NP‐EVs ( n = 30) showing homogenous size and concentration. Dilution of 1:100 in PBS in 1ml was used to test the samples (left panel). A representative graph showing size distribution of a NP‐EV sample (right panel). (b) Representative Western blot image showing the presence of CD63, CD81, <t>CD105</t> and HLA‐G in NP‐EVs (10–15 μg proteins) and in AFSC lysate (10–15 μg proteins) and the presence of calreticulin in cell lysate only. Three different NP‐EV samples were tested with similar results. (c) Representative transmission electron microscopy images at low‐ and high‐power fields of NP‐EVs showing heterogenous EV population. (d) Representative super‐resolution microscopy images of single amniotic fluid‐derived EVs expressing CD63 (red) and HLA‐G (green). The number of single and double positive EVs for CD63 and HLA‐G was analysed in three NP‐EV preparations using the CODI software; the graph shows the mean ± SD of a cumulative analysis of 10 fields for each preparation, total EV number: 6676
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    Characterization of NP‐EVs. (a) Nanoparticle tracking analysis of NP‐EVs ( n = 30) showing homogenous size and concentration. Dilution of 1:100 in PBS in 1ml was used to test the samples (left panel). A representative graph showing size distribution of a NP‐EV sample (right panel). (b) Representative Western blot image showing the presence of CD63, CD81, <t>CD105</t> and HLA‐G in NP‐EVs (10–15 μg proteins) and in AFSC lysate (10–15 μg proteins) and the presence of calreticulin in cell lysate only. Three different NP‐EV samples were tested with similar results. (c) Representative transmission electron microscopy images at low‐ and high‐power fields of NP‐EVs showing heterogenous EV population. (d) Representative super‐resolution microscopy images of single amniotic fluid‐derived EVs expressing CD63 (red) and HLA‐G (green). The number of single and double positive EVs for CD63 and HLA‐G was analysed in three NP‐EV preparations using the CODI software; the graph shows the mean ± SD of a cumulative analysis of 10 fields for each preparation, total EV number: 6676
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    Characterization of NP‐EVs. (a) Nanoparticle tracking analysis of NP‐EVs ( n = 30) showing homogenous size and concentration. Dilution of 1:100 in PBS in 1ml was used to test the samples (left panel). A representative graph showing size distribution of a NP‐EV sample (right panel). (b) Representative Western blot image showing the presence of CD63, CD81, <t>CD105</t> and HLA‐G in NP‐EVs (10–15 μg proteins) and in AFSC lysate (10–15 μg proteins) and the presence of calreticulin in cell lysate only. Three different NP‐EV samples were tested with similar results. (c) Representative transmission electron microscopy images at low‐ and high‐power fields of NP‐EVs showing heterogenous EV population. (d) Representative super‐resolution microscopy images of single amniotic fluid‐derived EVs expressing CD63 (red) and HLA‐G (green). The number of single and double positive EVs for CD63 and HLA‐G was analysed in three NP‐EV preparations using the CODI software; the graph shows the mean ± SD of a cumulative analysis of 10 fields for each preparation, total EV number: 6676
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    Image Search Results


    Characterization of NP‐EVs. (a) Nanoparticle tracking analysis of NP‐EVs ( n = 30) showing homogenous size and concentration. Dilution of 1:100 in PBS in 1ml was used to test the samples (left panel). A representative graph showing size distribution of a NP‐EV sample (right panel). (b) Representative Western blot image showing the presence of CD63, CD81, CD105 and HLA‐G in NP‐EVs (10–15 μg proteins) and in AFSC lysate (10–15 μg proteins) and the presence of calreticulin in cell lysate only. Three different NP‐EV samples were tested with similar results. (c) Representative transmission electron microscopy images at low‐ and high‐power fields of NP‐EVs showing heterogenous EV population. (d) Representative super‐resolution microscopy images of single amniotic fluid‐derived EVs expressing CD63 (red) and HLA‐G (green). The number of single and double positive EVs for CD63 and HLA‐G was analysed in three NP‐EV preparations using the CODI software; the graph shows the mean ± SD of a cumulative analysis of 10 fields for each preparation, total EV number: 6676

    Journal: Journal of Extracellular Vesicles

    Article Title: Single extracellular vesicle analysis in human amniotic fluid shows evidence of phenotype alterations in preeclampsia

    doi: 10.1002/jev2.12217

    Figure Lengend Snippet: Characterization of NP‐EVs. (a) Nanoparticle tracking analysis of NP‐EVs ( n = 30) showing homogenous size and concentration. Dilution of 1:100 in PBS in 1ml was used to test the samples (left panel). A representative graph showing size distribution of a NP‐EV sample (right panel). (b) Representative Western blot image showing the presence of CD63, CD81, CD105 and HLA‐G in NP‐EVs (10–15 μg proteins) and in AFSC lysate (10–15 μg proteins) and the presence of calreticulin in cell lysate only. Three different NP‐EV samples were tested with similar results. (c) Representative transmission electron microscopy images at low‐ and high‐power fields of NP‐EVs showing heterogenous EV population. (d) Representative super‐resolution microscopy images of single amniotic fluid‐derived EVs expressing CD63 (red) and HLA‐G (green). The number of single and double positive EVs for CD63 and HLA‐G was analysed in three NP‐EV preparations using the CODI software; the graph shows the mean ± SD of a cumulative analysis of 10 fields for each preparation, total EV number: 6676

    Article Snippet: Primary antibodies used were: CD81 at 1:200 (SC‐31234), CD63 at 1:200 (SC‐5275), HLA‐G at 1:200 (SC‐21799), (all from Santa Cruz), CD105 at 1:1000 (362‐820, Ancell) and at 1:2000 calreticulin (2891S, Cell Signaling Technology, Danvers, MA, USA).

    Techniques: Concentration Assay, Western Blot, Transmission Assay, Electron Microscopy, Super-Resolution Microscopy, Derivative Assay, Expressing, Software

    Increased CD105 expression in PE‐EVs. (a) MACSPlex analysis showing the median fluorescence intensity of surface markers characteristic of EVs (tetraspanins) or different cell of origin, expressed by NP‐ and PE‐EVs ( n = 3). Expression of CD105 and SSEA‐4 was significantly increased in PE‐EVs. 5.8 × 10 8 EVs were analysed, diluted to a final volume of 120 μl of MACSPlex buffer. (b) Diagram explaining the experimental method behind ExoView technology in relation to the graphs in panel c. (c and d) ExoView analysis of amniotic fluid‐derived NP‐EVs ( n = 6) and PE‐EVs ( n = 6). (c) Comparison of the expression of HLA‐G, Tie‐2, CD105 and CD117 (c‐kit) shown as average fluorescent particle count in NP‐EVs vs PE‐EVs from combined tetraspanins capture of CD63, CD81 and CD9. (d) Normalized expression of HLA‐G positive EVs co‐expressing other angiogenic (CD105 and Tie‐2) and stem cell (CD117) markers. 5.8 × 10 8 EVs in final volume of 35 μl of buffer were used for all samples. Unpaired student's t ‐test:* = P < 0.05, * * = P < 0.01, *** = P < 0.001

    Journal: Journal of Extracellular Vesicles

    Article Title: Single extracellular vesicle analysis in human amniotic fluid shows evidence of phenotype alterations in preeclampsia

    doi: 10.1002/jev2.12217

    Figure Lengend Snippet: Increased CD105 expression in PE‐EVs. (a) MACSPlex analysis showing the median fluorescence intensity of surface markers characteristic of EVs (tetraspanins) or different cell of origin, expressed by NP‐ and PE‐EVs ( n = 3). Expression of CD105 and SSEA‐4 was significantly increased in PE‐EVs. 5.8 × 10 8 EVs were analysed, diluted to a final volume of 120 μl of MACSPlex buffer. (b) Diagram explaining the experimental method behind ExoView technology in relation to the graphs in panel c. (c and d) ExoView analysis of amniotic fluid‐derived NP‐EVs ( n = 6) and PE‐EVs ( n = 6). (c) Comparison of the expression of HLA‐G, Tie‐2, CD105 and CD117 (c‐kit) shown as average fluorescent particle count in NP‐EVs vs PE‐EVs from combined tetraspanins capture of CD63, CD81 and CD9. (d) Normalized expression of HLA‐G positive EVs co‐expressing other angiogenic (CD105 and Tie‐2) and stem cell (CD117) markers. 5.8 × 10 8 EVs in final volume of 35 μl of buffer were used for all samples. Unpaired student's t ‐test:* = P < 0.05, * * = P < 0.01, *** = P < 0.001

    Article Snippet: Primary antibodies used were: CD81 at 1:200 (SC‐31234), CD63 at 1:200 (SC‐5275), HLA‐G at 1:200 (SC‐21799), (all from Santa Cruz), CD105 at 1:1000 (362‐820, Ancell) and at 1:2000 calreticulin (2891S, Cell Signaling Technology, Danvers, MA, USA).

    Techniques: Expressing, Fluorescence, Derivative Assay, Comparison

    Characterization of HLA‐G‐expressing EVs from term AFSCs. (a) Diagram explaining the experimental method in relation to the graph in panel b. (b) Fluorescent particle count of AFSC‐EVs captured on tetraspanin‐coated chip analysed by ExoView, showing expression of HLA‐G + and CD105 + EVs, but lack of co‐expression of the markers. (c) Graphical representation of MASCPlex analyses to characterize HLA‐G + AFSC‐EVs, using Ab‐coated fluorescent beads and APC‐labelled anti‐HLA‐G Ab. (d) The graph shows the median fluorescence intensity of surface markers co‐expressed on HLA‐G + AFSC‐EVs ( n = 3). AFSC‐EVs (5.8 × 10 8 ) were gated for the HLA‐G positivity and analysed for the expression of a panel of markers. No expression of CD105 was detected. Illustrations in panels A and C were created with https://biorender.com

    Journal: Journal of Extracellular Vesicles

    Article Title: Single extracellular vesicle analysis in human amniotic fluid shows evidence of phenotype alterations in preeclampsia

    doi: 10.1002/jev2.12217

    Figure Lengend Snippet: Characterization of HLA‐G‐expressing EVs from term AFSCs. (a) Diagram explaining the experimental method in relation to the graph in panel b. (b) Fluorescent particle count of AFSC‐EVs captured on tetraspanin‐coated chip analysed by ExoView, showing expression of HLA‐G + and CD105 + EVs, but lack of co‐expression of the markers. (c) Graphical representation of MASCPlex analyses to characterize HLA‐G + AFSC‐EVs, using Ab‐coated fluorescent beads and APC‐labelled anti‐HLA‐G Ab. (d) The graph shows the median fluorescence intensity of surface markers co‐expressed on HLA‐G + AFSC‐EVs ( n = 3). AFSC‐EVs (5.8 × 10 8 ) were gated for the HLA‐G positivity and analysed for the expression of a panel of markers. No expression of CD105 was detected. Illustrations in panels A and C were created with https://biorender.com

    Article Snippet: Primary antibodies used were: CD81 at 1:200 (SC‐31234), CD63 at 1:200 (SC‐5275), HLA‐G at 1:200 (SC‐21799), (all from Santa Cruz), CD105 at 1:1000 (362‐820, Ancell) and at 1:2000 calreticulin (2891S, Cell Signaling Technology, Danvers, MA, USA).

    Techniques: Expressing, Fluorescence

    Effect of NP‐EVs and PE‐EVs on tube formation and role of CD105. (a) Quantification of tube lengths of HUVEC treated with NP‐EVs, PE‐EVs with or without anti‐CD105 Ab (TRC‐105) (8 μg/ml). A concentration of 1000 EVs/cell was used. Positive control: complete EBM medium; negative control: EBM medium without FBS. s‐Endoglin (100 ng/ml) was used as control for angiogenesis inhibition. Statistical analysis was performed using ANOVA with Bonferroni's post‐hoc test. * = P < 0.05, ** = P < 0.01, *** = P < 0.001. (b) Representative images of the tube formation assay

    Journal: Journal of Extracellular Vesicles

    Article Title: Single extracellular vesicle analysis in human amniotic fluid shows evidence of phenotype alterations in preeclampsia

    doi: 10.1002/jev2.12217

    Figure Lengend Snippet: Effect of NP‐EVs and PE‐EVs on tube formation and role of CD105. (a) Quantification of tube lengths of HUVEC treated with NP‐EVs, PE‐EVs with or without anti‐CD105 Ab (TRC‐105) (8 μg/ml). A concentration of 1000 EVs/cell was used. Positive control: complete EBM medium; negative control: EBM medium without FBS. s‐Endoglin (100 ng/ml) was used as control for angiogenesis inhibition. Statistical analysis was performed using ANOVA with Bonferroni's post‐hoc test. * = P < 0.05, ** = P < 0.01, *** = P < 0.001. (b) Representative images of the tube formation assay

    Article Snippet: Primary antibodies used were: CD81 at 1:200 (SC‐31234), CD63 at 1:200 (SC‐5275), HLA‐G at 1:200 (SC‐21799), (all from Santa Cruz), CD105 at 1:1000 (362‐820, Ancell) and at 1:2000 calreticulin (2891S, Cell Signaling Technology, Danvers, MA, USA).

    Techniques: Concentration Assay, Positive Control, Negative Control, Control, Inhibition, Tube Formation Assay

    Graphical illustration summarizing the main findings. The figure shows the multiple possible sources of term amniotic fluid‐derived EVs and the main changes in PE‐EVs. Their antiangiogenic properties are supported by the specific upregulation of CD105 surface. The image was created with https://biorender.com

    Journal: Journal of Extracellular Vesicles

    Article Title: Single extracellular vesicle analysis in human amniotic fluid shows evidence of phenotype alterations in preeclampsia

    doi: 10.1002/jev2.12217

    Figure Lengend Snippet: Graphical illustration summarizing the main findings. The figure shows the multiple possible sources of term amniotic fluid‐derived EVs and the main changes in PE‐EVs. Their antiangiogenic properties are supported by the specific upregulation of CD105 surface. The image was created with https://biorender.com

    Article Snippet: Primary antibodies used were: CD81 at 1:200 (SC‐31234), CD63 at 1:200 (SC‐5275), HLA‐G at 1:200 (SC‐21799), (all from Santa Cruz), CD105 at 1:1000 (362‐820, Ancell) and at 1:2000 calreticulin (2891S, Cell Signaling Technology, Danvers, MA, USA).

    Techniques: Derivative Assay