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Becton Dickinson mouse anti-human cd42 pe
Mouse Anti Human Cd42 Pe, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Becton Dickinson mouse monoclonal anti-cd42 fitc-conjugated
( A )—Flow cytometry cell population on the experimental groups, showing the cell population selected in PhC formed on SCA was similar in each group, varying in size and complexity of cells; ( B )—graph showing higher expression of CD90 (*), CD45 (**) and CD44 (***) in SCA + APT + PhC when compared to SCA+PhC; ( C )—histograms showing the average of cells labeled for CD90, CD45, CD34, CD44, <t>CD42</t> and CD61 among the groups; ( D )—electromicrographs showing SCA + PhC ( D.1 , D.5 , D.9 ), SCA + APT + PhC ( D.2 , D.6 , D.10 ), SCA + PhC + OSB ( D.3 , D.7 , D.11 ) and SCA + APT + PhC + OSB ( D.4 , D.8 , D.12 ) groups at 100× ( D.1 – D.4 ), 1000× ( D.5 – D.8 ) and 2000× ( D.9 – D.12 ) magnification. Red and white arrowheads are showing the red blood cells and white blood cells, respectively ( D.9 , D.10 ). Yellow arrow ( D.11 ) and arrowheads ( D.11 , D.12 ) are showing different cell types on PhC formed on SCAs. Scale bars: 100 μ m ( D.1 – D.4 ) and 10 μ m ( D.5 – D.12 ). Significance value: * p < 0.05, ** p < 0.01, *** p < 0.001.
Mouse Monoclonal Anti Cd42 Fitc Conjugated, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Becton Dickinson anti-cd42
( A )—Flow cytometry cell population on the experimental groups, showing the cell population selected in PhC formed on SCA was similar in each group, varying in size and complexity of cells; ( B )—graph showing higher expression of CD90 (*), CD45 (**) and CD44 (***) in SCA + APT + PhC when compared to SCA+PhC; ( C )—histograms showing the average of cells labeled for CD90, CD45, CD34, CD44, <t>CD42</t> and CD61 among the groups; ( D )—electromicrographs showing SCA + PhC ( D.1 , D.5 , D.9 ), SCA + APT + PhC ( D.2 , D.6 , D.10 ), SCA + PhC + OSB ( D.3 , D.7 , D.11 ) and SCA + APT + PhC + OSB ( D.4 , D.8 , D.12 ) groups at 100× ( D.1 – D.4 ), 1000× ( D.5 – D.8 ) and 2000× ( D.9 – D.12 ) magnification. Red and white arrowheads are showing the red blood cells and white blood cells, respectively ( D.9 , D.10 ). Yellow arrow ( D.11 ) and arrowheads ( D.11 , D.12 ) are showing different cell types on PhC formed on SCAs. Scale bars: 100 μ m ( D.1 – D.4 ) and 10 μ m ( D.5 – D.12 ). Significance value: * p < 0.05, ** p < 0.01, *** p < 0.001.
Anti Cd42, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti-cd42/product/Becton Dickinson
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Becton Dickinson anti-cd42-pe
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Anti Cd42 Pe, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti-cd42-pe/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
anti-cd42-pe - by Bioz Stars, 2026-05
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Danaher Inc anti cd42 pe
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Anti Cd42 Pe, supplied by Danaher Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Becton Dickinson fitc-conjugated anti-cd42
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Fitc Conjugated Anti Cd42, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Becton Dickinson anti-human cd42-apc
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Anti Human Cd42 Apc, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech rabbit polyclonal anti cd42 ab
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Rabbit Polyclonal Anti Cd42 Ab, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Thermo Fisher anti-cd42-apc
PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and <t>anti-CD42</t> markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs
Anti Cd42 Apc, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


( A )—Flow cytometry cell population on the experimental groups, showing the cell population selected in PhC formed on SCA was similar in each group, varying in size and complexity of cells; ( B )—graph showing higher expression of CD90 (*), CD45 (**) and CD44 (***) in SCA + APT + PhC when compared to SCA+PhC; ( C )—histograms showing the average of cells labeled for CD90, CD45, CD34, CD44, CD42 and CD61 among the groups; ( D )—electromicrographs showing SCA + PhC ( D.1 , D.5 , D.9 ), SCA + APT + PhC ( D.2 , D.6 , D.10 ), SCA + PhC + OSB ( D.3 , D.7 , D.11 ) and SCA + APT + PhC + OSB ( D.4 , D.8 , D.12 ) groups at 100× ( D.1 – D.4 ), 1000× ( D.5 – D.8 ) and 2000× ( D.9 – D.12 ) magnification. Red and white arrowheads are showing the red blood cells and white blood cells, respectively ( D.9 , D.10 ). Yellow arrow ( D.11 ) and arrowheads ( D.11 , D.12 ) are showing different cell types on PhC formed on SCAs. Scale bars: 100 μ m ( D.1 – D.4 ) and 10 μ m ( D.5 – D.12 ). Significance value: * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Biomimetics

Article Title: Anti-Fibronectin Aptamer Modifies Blood Clot Pattern and Stimulates Osteogenesis: An Ex Vivo Study

doi: 10.3390/biomimetics8080582

Figure Lengend Snippet: ( A )—Flow cytometry cell population on the experimental groups, showing the cell population selected in PhC formed on SCA was similar in each group, varying in size and complexity of cells; ( B )—graph showing higher expression of CD90 (*), CD45 (**) and CD44 (***) in SCA + APT + PhC when compared to SCA+PhC; ( C )—histograms showing the average of cells labeled for CD90, CD45, CD34, CD44, CD42 and CD61 among the groups; ( D )—electromicrographs showing SCA + PhC ( D.1 , D.5 , D.9 ), SCA + APT + PhC ( D.2 , D.6 , D.10 ), SCA + PhC + OSB ( D.3 , D.7 , D.11 ) and SCA + APT + PhC + OSB ( D.4 , D.8 , D.12 ) groups at 100× ( D.1 – D.4 ), 1000× ( D.5 – D.8 ) and 2000× ( D.9 – D.12 ) magnification. Red and white arrowheads are showing the red blood cells and white blood cells, respectively ( D.9 , D.10 ). Yellow arrow ( D.11 ) and arrowheads ( D.11 , D.12 ) are showing different cell types on PhC formed on SCAs. Scale bars: 100 μ m ( D.1 – D.4 ) and 10 μ m ( D.5 – D.12 ). Significance value: * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: Primary antibodies used for FACS: mouse monoclonal anti-CD45 PE-conjugated (BD-Biosciences), mouse monoclonal anti-CD90 FITC-conjugated (BD-Biosciences), mouse monoclonal anti-CD34 PE-conjugated (Santa Cruz Biotechnology, Dallas, TX, USA), mouse monoclonal anti-CD44 FITC-conjugated (BD-Biosciences), mouse monoclonal anti-CD42 FITC-conjugated (BD-Biosciences), and mouse monoclonal anti-CD61 FITC-conjugated (BD-Biosciences).

Techniques: Flow Cytometry, Expressing, Labeling

PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and anti-CD42 markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs

Journal: International Journal of Hematology-Oncology and Stem Cell Research

Article Title: Developing a Multichannel Bioreactor with a Collagen Scaffold, ECM, and Cryoprecipitate to Significantly Produce Platelets from Umbilical Cord Blood Stem Cells

doi: 10.18502/ijhoscr.v17i4.13916

Figure Lengend Snippet: PLTs produced by the bioreactor under different combination conditions and the flow cytometric results for the PLTs obtained from the bioreactor: (A) Diagram of PLT production (×1000) from 6 ×10⁶ megakaryocytes in different ECM biomaterials used together with scaffold collagen in a bioreactor: The analysis of variance showed that the mean number of PLTs (in 1000) was different in EC factor groups (𝑝 − 𝑣𝑎𝑙𝑢𝑒 <0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (per 1000) in different groups of factors were significantly different (p < 0. 0.001). The greatest difference was between the means in collagen-CFHCF groups (994.8), and the least mean difference was between Cryo-CFHF groups (192.20(. (B) Flow cytometric results of anti-CD41 and anti-CD42 markers for the PLTs produced in the bioreactor, (C) Diagram of the platelets produced from one megakaryocyte: The analysis of variance showed a statistically significant difference between the mean numbers of PLTs (in one-per-meg) in different factor groups (p < 0.001). The results of the Tukey post-hoc test showed that the mean numbers of PLTs (one-per-meg) in different groups of factors were significantly different (p < 0. 0.001). The greatest mean difference was in collagen-CFHCF groups (16.58), and the least difference was between the means in Cryo-CFHF groups (3.15). ( D ) Flow cytometric results of anti-CD41 and anti-CD42 markers for the positive control of normal donor PLTs

Article Snippet: For the harvested PLTs, 400 ul of CPDA-1 blood bag suspension was incubated with 10 ul of anti-CD41-FITC and 10 ul of anti-CD42-PE antibodies (Becton Dickinson).

Techniques: Produced, Positive Control