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pe anti human cd49d  (Proteintech)


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    Structured Review

    Proteintech pe anti human cd49d
    Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and <t>ITGA4/CD49d</t> detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry
    Pe Anti Human Cd49d, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 35 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pe+anti+human+cd49d/Integrin+alpha-4+Antibody/pmc12261794-119-12-21
    Average 94 stars, based on 35 article reviews
    pe anti human cd49d - by Bioz Stars, 2026-09
    94/100 stars

    Images

    1) Product Images from "Utilizing genomics to identify novel immunotherapeutic targets in multiple myeloma high-risk subgroups"

    Article Title: Utilizing genomics to identify novel immunotherapeutic targets in multiple myeloma high-risk subgroups

    Journal: Genome Medicine

    doi: 10.1186/s13073-025-01503-y

    Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and ITGA4/CD49d detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry
    Figure Legend Snippet: Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and ITGA4/CD49d detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry

    Techniques Used: Drug discovery, Expressing, Fluorescence, Flow Cytometry, Control

    Related Articles

    Immunostaining:

    Article Title: Utilizing genomics to identify novel immunotherapeutic targets in multiple myeloma high-risk subgroups
    Article Snippet: .. For the direct immunostaining, cells were labeled with PE anti-human BCMA (Biolegend), PE anti-human CD49d (BD Biosciences), anti-LAX1 (Biotechne #AF4706), anti-DOCK2 (Proteintech #66,969–1-IG) or Alexa Fluor 647 anti-human ADAM28 (Biotechne) conjugated antibody or with the matching mouse isotype immunoglobulin controls, PE mouse IgG2a (Biolegend), PE mouse IgG1 (Invitrogen) or Alexa Fluor 647 mouse IgG1 (Biotechne), respectively, for 30 min on ice. .. For indirect immunostaining, cells were incubated with the unconjugated anti-human CD109 (Invitrogen) or anti-human ROBO3 (Invitrogen) or with the matching isotype, mouse IgG1 (Invitrogen) or goat IgG (Biotechne), respectively, for 1 h at room temperature.

    Labeling:

    Article Title: Utilizing genomics to identify novel immunotherapeutic targets in multiple myeloma high-risk subgroups
    Article Snippet: .. For the direct immunostaining, cells were labeled with PE anti-human BCMA (Biolegend), PE anti-human CD49d (BD Biosciences), anti-LAX1 (Biotechne #AF4706), anti-DOCK2 (Proteintech #66,969–1-IG) or Alexa Fluor 647 anti-human ADAM28 (Biotechne) conjugated antibody or with the matching mouse isotype immunoglobulin controls, PE mouse IgG2a (Biolegend), PE mouse IgG1 (Invitrogen) or Alexa Fluor 647 mouse IgG1 (Biotechne), respectively, for 30 min on ice. .. For indirect immunostaining, cells were incubated with the unconjugated anti-human CD109 (Invitrogen) or anti-human ROBO3 (Invitrogen) or with the matching isotype, mouse IgG1 (Invitrogen) or goat IgG (Biotechne), respectively, for 1 h at room temperature.



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    Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and <t>ITGA4/CD49d</t> detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry
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    Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and <t>ITGA4/CD49d</t> detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry
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    A CD34 + hematopoietic stem/progenitor cells (HSPCs) were induced toward erythrocytes. Erythroid maturation was visualized by staining with May-Grünwald Giemsa on Days 0, 7, 10 and 14 (left panel). Scale bars = 20 μm. The expression of miR-125b-5p during erythropoiesis on Days 0, 7, 10, 12 and 14 was determined by qRT-PCR (right panel, p = 0.0008 for Day 12 and p = 0.0007 for Day 14). B miR-125b-5p was significantly upregulated in the erythroid enucleation induction of K562 (on Day 10) and TF-1 (on Day 8) cells ( p = 0.0065 for K562 and p = 4.03263E-05 for TF-1). C , D miR-125b-5p expression in different erythroid developmental stages. In CD34 + HSPCs at erythroid induction day 14, erythroblasts were stained and sorted by CD71/CD235a ( C ) or <t>CD49d</t> <t>(α4</t> <t>integrin)/Band</t> 3 ( D ) In the CD71/CD235a system ( C ), populations were gated as follows: P2, CD71 + CD235a - ; P3, CD71 + CD235a med ; P4, CD71 + CD235a + ; and P5, CD71 − CD235a + (representative cytospin images of the sorted populations are shown below). In a CD49d/Band 3 system ( D ), populations were gated as follows: P2, CD49d + Band 3 - ; P3, CD49d + Band 3 med ; P4, CD49d + Band 3 + ; and P5, CD49d - Band 3 + . qRT-PCR analysis (right panel) demonstrated elevated miR-125b-5p levels from P2 to P5. U6 served as the miRNA expression control. E Exogenous upregulation of miR-125b-5p in hCB-MNC-derived erythroblasts enhanced the erythroblast enucleation rate. Overexpression of miR-125b-5p was analyzed by qRT-PCR (left panel, p = 7.82165E-06). Representative images of flow cytometry analysis show the enucleation efficiency (CD235 + SYTO 16 - , center panel). Statistical analysis of the enucleation rates from five independent experiments is expressed as the mean ± SD (right panel; p = 0.0006). F Representative images of the enucleation morphology on stained cytospins are shown. Red arrows indicate enucleated cells, and black arrows indicate nucleated cells. Scale bars = 20 μm. G Exogenous downregulation of miR-125b-5p in erythroblasts reduced their enucleation rate. Left panel shows miR-125b-5p levels after inhibitor transfection ( p = 0.0012). Middle panel shows representative flow cytometry analysis of erythroblast enucleation. Right panel shows statistical enucleation rate ( p = 0.0114). Statistical analysis was based on data from five independent experiments. H Stable miR-125b-5p overexpression improved K562 erythroid cell enucleation. The expression of miR-125b-5p was detected with qRT-PCR (left panel, p = 0.0008). Overexpression of miR-125b-5p by the pcDNA3.1 vector in K562 cells increased the percentage of CD235a + LDS751 − populations. Statistical analysis of three independent experiments is expressed as the mean ± SD (right panel) ( p = 0.0135). In qRT-PCR analyses, U6 was the loading control in ( A – D ) and ( H ), while cell number was chosen as the loading control in ( E ) and ( G ), and the results are expressed as the mean ± SD ( n = 3; * p < 0.05, ** p < 0.01, and *** p < 0.001).
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    Image Search Results


    Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and ITGA4/CD49d detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry

    Journal: Genome Medicine

    Article Title: Utilizing genomics to identify novel immunotherapeutic targets in multiple myeloma high-risk subgroups

    doi: 10.1186/s13073-025-01503-y

    Figure Lengend Snippet: Characteristics of candidate targets identified in ND and RR populations from two independent datasets. A General workflow of the target identification process. B A heatmap demonstrating all identified candidate genes in ND and RR population from MMRF and IU datasets with various annotations. C Expression level of selected genes. D Ranked expression of 5,092 proteins documented in Anderson et al. . Numbers after gene names: rank. E A radar plot summarizing key characteristics among LAX1 , ITGA4 , and TNFRSF17 /BCMA. Range (from center to edge): toxicity (healthy organs): 2~0; toxicity (blood cells): 0~1845; protein exp: 24.8~37221.6; essentiality: 0~ −1.75; hazard ratio (PFS): 1~1.28; mRNA exp: 3~7.6. Range in toxicity, protein expression, essentiality, hazard ratio, and mRNA exp indicated lowest to highest among 98 candidate genes. F Log 2 -scaled median fluorescence intensity (MFI) of TNFRSF17/BCMA and ITGA4/CD49d detected by flow cytometry in 15 MM cell lines. G Density plots indicating MFI (blue peaks) of ITGA4 /CD49d compared to the isotype control (grey peaks) across 6 MM cell lines. Log 2 MFI: Log 2 -scaled MFI. Highlighted genes in B : well-established targets or novel targets found in this study and validated by flow cytometry

    Article Snippet: For the direct immunostaining, cells were labeled with PE anti-human BCMA (Biolegend), PE anti-human CD49d (BD Biosciences), anti-LAX1 (Biotechne #AF4706), anti-DOCK2 (Proteintech #66,969–1-IG) or Alexa Fluor 647 anti-human ADAM28 (Biotechne) conjugated antibody or with the matching mouse isotype immunoglobulin controls, PE mouse IgG2a (Biolegend), PE mouse IgG1 (Invitrogen) or Alexa Fluor 647 mouse IgG1 (Biotechne), respectively, for 30 min on ice.

    Techniques: Drug discovery, Expressing, Fluorescence, Flow Cytometry, Control

    hESC and hiPSC cells are efficiently differentiated into Schwann cells (A) Diagram of the 21-day Schwann cell differentiation protocol. (B) Representative cells count graphs of CD49d FACS sorted hESC- and hiPSC-derived Schwann cells. (C) Representative Schwann cell differentiation efficiencies for each hESC and hiPSC line ( n = 1 each). (D) Representative images of passage two CD49d-positive hESC- and hiPSC-derived Schwann cells processed for immunocytochemistry with an anti-S100B antibody (red), Phalloidin to label F-actin (green) and DAPI (blue). Scale bar, 50μm.

    Journal: iScience

    Article Title: hESC- and hiPSC-derived Schwann cells are molecularly comparable and functionally equivalent

    doi: 10.1016/j.isci.2024.109855

    Figure Lengend Snippet: hESC and hiPSC cells are efficiently differentiated into Schwann cells (A) Diagram of the 21-day Schwann cell differentiation protocol. (B) Representative cells count graphs of CD49d FACS sorted hESC- and hiPSC-derived Schwann cells. (C) Representative Schwann cell differentiation efficiencies for each hESC and hiPSC line ( n = 1 each). (D) Representative images of passage two CD49d-positive hESC- and hiPSC-derived Schwann cells processed for immunocytochemistry with an anti-S100B antibody (red), Phalloidin to label F-actin (green) and DAPI (blue). Scale bar, 50μm.

    Article Snippet: The remaining cells were transferred to a 1.5ml tube, 10μl PE-conjugated anti-CD49d antibody (R&D Systems, FAB1354P) was added and the cells were rotated in the dark at 4°C for 30 minutes.

    Techniques: Cell Differentiation, Derivative Assay, Immunocytochemistry

    Journal: iScience

    Article Title: hESC- and hiPSC-derived Schwann cells are molecularly comparable and functionally equivalent

    doi: 10.1016/j.isci.2024.109855

    Figure Lengend Snippet:

    Article Snippet: The remaining cells were transferred to a 1.5ml tube, 10μl PE-conjugated anti-CD49d antibody (R&D Systems, FAB1354P) was added and the cells were rotated in the dark at 4°C for 30 minutes.

    Techniques: Produced, Recombinant, Knock-Out, Electron Microscopy, Staining, Membrane, Gene Expression, Ab Array, Software, Sequencing, Sterility

    Journal: iScience

    Article Title: Peripheral T cell profiling reveals downregulated exhaustion marker and increased diversity in lymphedema post-lymphatic venous anastomosis

    doi: 10.1016/j.isci.2023.106822

    Figure Lengend Snippet:

    Article Snippet: PE anti-human CD49d (clone: 9F10) , eBioscience , Cat#12049942; RRID: AB_10717245.

    Techniques: Virus, Recombinant, Activation Assay, Reverse Transcription, Software

    A CD34 + hematopoietic stem/progenitor cells (HSPCs) were induced toward erythrocytes. Erythroid maturation was visualized by staining with May-Grünwald Giemsa on Days 0, 7, 10 and 14 (left panel). Scale bars = 20 μm. The expression of miR-125b-5p during erythropoiesis on Days 0, 7, 10, 12 and 14 was determined by qRT-PCR (right panel, p = 0.0008 for Day 12 and p = 0.0007 for Day 14). B miR-125b-5p was significantly upregulated in the erythroid enucleation induction of K562 (on Day 10) and TF-1 (on Day 8) cells ( p = 0.0065 for K562 and p = 4.03263E-05 for TF-1). C , D miR-125b-5p expression in different erythroid developmental stages. In CD34 + HSPCs at erythroid induction day 14, erythroblasts were stained and sorted by CD71/CD235a ( C ) or CD49d (α4 integrin)/Band 3 ( D ) In the CD71/CD235a system ( C ), populations were gated as follows: P2, CD71 + CD235a - ; P3, CD71 + CD235a med ; P4, CD71 + CD235a + ; and P5, CD71 − CD235a + (representative cytospin images of the sorted populations are shown below). In a CD49d/Band 3 system ( D ), populations were gated as follows: P2, CD49d + Band 3 - ; P3, CD49d + Band 3 med ; P4, CD49d + Band 3 + ; and P5, CD49d - Band 3 + . qRT-PCR analysis (right panel) demonstrated elevated miR-125b-5p levels from P2 to P5. U6 served as the miRNA expression control. E Exogenous upregulation of miR-125b-5p in hCB-MNC-derived erythroblasts enhanced the erythroblast enucleation rate. Overexpression of miR-125b-5p was analyzed by qRT-PCR (left panel, p = 7.82165E-06). Representative images of flow cytometry analysis show the enucleation efficiency (CD235 + SYTO 16 - , center panel). Statistical analysis of the enucleation rates from five independent experiments is expressed as the mean ± SD (right panel; p = 0.0006). F Representative images of the enucleation morphology on stained cytospins are shown. Red arrows indicate enucleated cells, and black arrows indicate nucleated cells. Scale bars = 20 μm. G Exogenous downregulation of miR-125b-5p in erythroblasts reduced their enucleation rate. Left panel shows miR-125b-5p levels after inhibitor transfection ( p = 0.0012). Middle panel shows representative flow cytometry analysis of erythroblast enucleation. Right panel shows statistical enucleation rate ( p = 0.0114). Statistical analysis was based on data from five independent experiments. H Stable miR-125b-5p overexpression improved K562 erythroid cell enucleation. The expression of miR-125b-5p was detected with qRT-PCR (left panel, p = 0.0008). Overexpression of miR-125b-5p by the pcDNA3.1 vector in K562 cells increased the percentage of CD235a + LDS751 − populations. Statistical analysis of three independent experiments is expressed as the mean ± SD (right panel) ( p = 0.0135). In qRT-PCR analyses, U6 was the loading control in ( A – D ) and ( H ), while cell number was chosen as the loading control in ( E ) and ( G ), and the results are expressed as the mean ± SD ( n = 3; * p < 0.05, ** p < 0.01, and *** p < 0.001).

    Journal: Cell Death & Disease

    Article Title: The accumulation of miR-125b-5p is indispensable for efficient erythroblast enucleation

    doi: 10.1038/s41419-022-05331-5

    Figure Lengend Snippet: A CD34 + hematopoietic stem/progenitor cells (HSPCs) were induced toward erythrocytes. Erythroid maturation was visualized by staining with May-Grünwald Giemsa on Days 0, 7, 10 and 14 (left panel). Scale bars = 20 μm. The expression of miR-125b-5p during erythropoiesis on Days 0, 7, 10, 12 and 14 was determined by qRT-PCR (right panel, p = 0.0008 for Day 12 and p = 0.0007 for Day 14). B miR-125b-5p was significantly upregulated in the erythroid enucleation induction of K562 (on Day 10) and TF-1 (on Day 8) cells ( p = 0.0065 for K562 and p = 4.03263E-05 for TF-1). C , D miR-125b-5p expression in different erythroid developmental stages. In CD34 + HSPCs at erythroid induction day 14, erythroblasts were stained and sorted by CD71/CD235a ( C ) or CD49d (α4 integrin)/Band 3 ( D ) In the CD71/CD235a system ( C ), populations were gated as follows: P2, CD71 + CD235a - ; P3, CD71 + CD235a med ; P4, CD71 + CD235a + ; and P5, CD71 − CD235a + (representative cytospin images of the sorted populations are shown below). In a CD49d/Band 3 system ( D ), populations were gated as follows: P2, CD49d + Band 3 - ; P3, CD49d + Band 3 med ; P4, CD49d + Band 3 + ; and P5, CD49d - Band 3 + . qRT-PCR analysis (right panel) demonstrated elevated miR-125b-5p levels from P2 to P5. U6 served as the miRNA expression control. E Exogenous upregulation of miR-125b-5p in hCB-MNC-derived erythroblasts enhanced the erythroblast enucleation rate. Overexpression of miR-125b-5p was analyzed by qRT-PCR (left panel, p = 7.82165E-06). Representative images of flow cytometry analysis show the enucleation efficiency (CD235 + SYTO 16 - , center panel). Statistical analysis of the enucleation rates from five independent experiments is expressed as the mean ± SD (right panel; p = 0.0006). F Representative images of the enucleation morphology on stained cytospins are shown. Red arrows indicate enucleated cells, and black arrows indicate nucleated cells. Scale bars = 20 μm. G Exogenous downregulation of miR-125b-5p in erythroblasts reduced their enucleation rate. Left panel shows miR-125b-5p levels after inhibitor transfection ( p = 0.0012). Middle panel shows representative flow cytometry analysis of erythroblast enucleation. Right panel shows statistical enucleation rate ( p = 0.0114). Statistical analysis was based on data from five independent experiments. H Stable miR-125b-5p overexpression improved K562 erythroid cell enucleation. The expression of miR-125b-5p was detected with qRT-PCR (left panel, p = 0.0008). Overexpression of miR-125b-5p by the pcDNA3.1 vector in K562 cells increased the percentage of CD235a + LDS751 − populations. Statistical analysis of three independent experiments is expressed as the mean ± SD (right panel) ( p = 0.0135). In qRT-PCR analyses, U6 was the loading control in ( A – D ) and ( H ), while cell number was chosen as the loading control in ( E ) and ( G ), and the results are expressed as the mean ± SD ( n = 3; * p < 0.05, ** p < 0.01, and *** p < 0.001).

    Article Snippet: Then, 5 μL per 1 × 10 6 cells were stained with either anti-human CD71-APC (BD Biosciences, Franklin, NJ, USA) or anti-human CD71-FITC (BD Biosciences), anti-human CD235a-PE (BD Biosciences), anti-human α4 integrin (CD49d-PE, eBioscience, San Diego, CA, USA), anti-human Band 3-APC (graciously provided by Professor Xiuli An) or anti-mouse CD71-PE (eBioscience) and anti-mouse Ter119-APC at 4 °C for 40 min.

    Techniques: Staining, Expressing, Quantitative RT-PCR, Control, Derivative Assay, Over Expression, Flow Cytometry, Transfection, Plasmid Preparation