anti mouse sca 1 Search Results


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Anti Sca1 Pe, supplied by Miltenyi Biotec, 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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Anti Mouse Sca 1, supplied by Cedarlane, 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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Miltenyi Biotec anti mouse sca1 microbead kit
FACS Plots Showing Lin − <t>Sca1</t> + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.
Anti Mouse Sca1 Microbead Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/anti+mouse+sca+1/pmc07357675-65-0-7?v=Miltenyi+Biotec
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Miltenyi Biotec anti sca1 mouse microbeads
FACS Plots Showing Lin − <t>Sca1</t> + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.
Anti Sca1 Mouse Microbeads, supplied by Miltenyi Biotec, 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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Miltenyi Biotec sca 1 biotin
FACS Plots Showing Lin − <t>Sca1</t> + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.
Sca 1 Biotin, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cedarlane anti sca 1
FACS Plots Showing Lin − <t>Sca1</t> + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.
Anti Sca 1, supplied by Cedarlane, 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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Miltenyi Biotec sca1 microbeads kit
scRNA-seq analyses revealed <t>Sca1</t> + cells repopulate ECs in mouse femoral artery after injury (A) Normal femoral arteries (NC) and injured femoral arteries were digested and analyzed by scRNA-seq after 2 (FAI2W) or 4 (FAI4W) weeks. Umap plot showed visualization of unsupervised clustering of all groups. (B) Dot plot of canonical cell markers identified EC cluster ( Kdr , Flt1 , Cdh5 , Pecam1 , and Nos3 ) and SPC cluster ( Cd34 , Ly6a , and Pdgfra ). (C) Bar plot showed the constitution of Ly6a (Sca1) + or Ly6a − cells among ECs of each group. (D) Differentially expressed genes between Ly6a + and Ly6a − cells were identified and analyzed using GO enrichment. The top 10 enriched biological process terms were presented. (E) Trajectory analysis of the differentiation process from SPCs to ECs; the color change from green to blue indicates the cell’s progression from a primitive to a more developed state. (F) The expression levels of canonical EC markers and SPC markers are shown alongside the differentiation trajectory. See also <xref ref-type=Figure S1 . " width="250" height="auto" />
Sca1 Microbeads Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology pe cy7
scRNA-seq analyses revealed <t>Sca1</t> + cells repopulate ECs in mouse femoral artery after injury (A) Normal femoral arteries (NC) and injured femoral arteries were digested and analyzed by scRNA-seq after 2 (FAI2W) or 4 (FAI4W) weeks. Umap plot showed visualization of unsupervised clustering of all groups. (B) Dot plot of canonical cell markers identified EC cluster ( Kdr , Flt1 , Cdh5 , Pecam1 , and Nos3 ) and SPC cluster ( Cd34 , Ly6a , and Pdgfra ). (C) Bar plot showed the constitution of Ly6a (Sca1) + or Ly6a − cells among ECs of each group. (D) Differentially expressed genes between Ly6a + and Ly6a − cells were identified and analyzed using GO enrichment. The top 10 enriched biological process terms were presented. (E) Trajectory analysis of the differentiation process from SPCs to ECs; the color change from green to blue indicates the cell’s progression from a primitive to a more developed state. (F) The expression levels of canonical EC markers and SPC markers are shown alongside the differentiation trajectory. See also <xref ref-type=Figure S1 . " width="250" height="auto" />
Pe Cy7, supplied by Elabscience Biotechnology, 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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fluidigm anti mouse sca 1 ly 6a e d7 169tm
scRNA-seq analyses revealed <t>Sca1</t> + cells repopulate ECs in mouse femoral artery after injury (A) Normal femoral arteries (NC) and injured femoral arteries were digested and analyzed by scRNA-seq after 2 (FAI2W) or 4 (FAI4W) weeks. Umap plot showed visualization of unsupervised clustering of all groups. (B) Dot plot of canonical cell markers identified EC cluster ( Kdr , Flt1 , Cdh5 , Pecam1 , and Nos3 ) and SPC cluster ( Cd34 , Ly6a , and Pdgfra ). (C) Bar plot showed the constitution of Ly6a (Sca1) + or Ly6a − cells among ECs of each group. (D) Differentially expressed genes between Ly6a + and Ly6a − cells were identified and analyzed using GO enrichment. The top 10 enriched biological process terms were presented. (E) Trajectory analysis of the differentiation process from SPCs to ECs; the color change from green to blue indicates the cell’s progression from a primitive to a more developed state. (F) The expression levels of canonical EC markers and SPC markers are shown alongside the differentiation trajectory. See also <xref ref-type=Figure S1 . " width="250" height="auto" />
Anti Mouse Sca 1 Ly 6a E D7 169tm, supplied by fluidigm, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fluidigm anti sca 1 164dy
(A) Schematic representation of the workflow applied to study FAP heterogeneity. (B) Representative viSNE maps of total mononuclear cells isolated from young wild type and mdx mice. The four clusters produce by FlowSOM algorithm were mapped onto the viSNE maps and correspond to the following mononuclear cell populations: FAPs (blue), endothelial cells (orange), leukocytes (green) and muscle satellite cells (MuSCs, red). (C) Representative Self Organizing Maps (SOMs) of FAPs identified in (A). SOMs were obtained with the FlowSOM algorithm. Each node represents a cluster of cells, nodes with similar expression profile are linked by an edge. Colour of nodes indicate <t>SCA-1</t> expression level. Node outlines indicate the four metaclusters (red, blue, black and green) obtained by the algorithm. Red and blue shadings highlight FAPs expressing high levels (red and blue metaclusters, called <t>SCA1-High-FAPs)</t> and low levels (black and green metaclusters, called SCA1-Low-FAPs) of SCA-1. (D) Stacked bar plot showing the fraction of SCA1-High-FAPs and SCA1-Low-FAPs in wild type and mdx mice. Data are presented as mean ± SEM. Statistical significance was estimated by a One-way ANOVA, * p ≤ 0.05, ** p ≤ 0.01. n = 4. (E) Representative SCA-1 histograms of FAPs from wild type and mdx mice identified in (B) and their standard deviations (SD) showing a typical micro-heterogeneity profile. (F) Sorting strategy to decompose SCA-1 micro-heterogeneity and to isolate SCA1-High-FAPs and SCA1-Low-FAPs from mdx mice. Complete strategy, Fluorescence minus one (FMO) controls and cell states purity in Supplementary Figure 3.
Anti Sca 1 164dy, supplied by fluidigm, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biogems International anti mouse ly 6a e sca 1 pe cy7
(A) Schematic representation of the workflow applied to study FAP heterogeneity. (B) Representative viSNE maps of total mononuclear cells isolated from young wild type and mdx mice. The four clusters produce by FlowSOM algorithm were mapped onto the viSNE maps and correspond to the following mononuclear cell populations: FAPs (blue), endothelial cells (orange), leukocytes (green) and muscle satellite cells (MuSCs, red). (C) Representative Self Organizing Maps (SOMs) of FAPs identified in (A). SOMs were obtained with the FlowSOM algorithm. Each node represents a cluster of cells, nodes with similar expression profile are linked by an edge. Colour of nodes indicate <t>SCA-1</t> expression level. Node outlines indicate the four metaclusters (red, blue, black and green) obtained by the algorithm. Red and blue shadings highlight FAPs expressing high levels (red and blue metaclusters, called <t>SCA1-High-FAPs)</t> and low levels (black and green metaclusters, called SCA1-Low-FAPs) of SCA-1. (D) Stacked bar plot showing the fraction of SCA1-High-FAPs and SCA1-Low-FAPs in wild type and mdx mice. Data are presented as mean ± SEM. Statistical significance was estimated by a One-way ANOVA, * p ≤ 0.05, ** p ≤ 0.01. n = 4. (E) Representative SCA-1 histograms of FAPs from wild type and mdx mice identified in (B) and their standard deviations (SD) showing a typical micro-heterogeneity profile. (F) Sorting strategy to decompose SCA-1 micro-heterogeneity and to isolate SCA1-High-FAPs and SCA1-Low-FAPs from mdx mice. Complete strategy, Fluorescence minus one (FMO) controls and cell states purity in Supplementary Figure 3.
Anti Mouse Ly 6a E Sca 1 Pe Cy7, supplied by Biogems International, 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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Immunotec inc phycoerythrin (pe)-conjugated anti-mouse sca-1 (iot-6a.2)
Fig. 3. Number of hematopoietic colonies at day 15 and surface marker profile of day 18 induced cells. (A) Hematopoietic colonies at day 15 of induction. Data are shown as the mean ± SD of six samples (*P < 0.01 by t-test). (B) c-Kit and <t>Sca-1</t> expression on the cells persistent at day 18 of induction with the expression of GATA-2. The majority of EGFP-positive cells expressed c-Kit and Sca-1, markers of immature hematopoietic cells.
Phycoerythrin (Pe) Conjugated Anti Mouse Sca 1 (Iot 6a.2), supplied by Immunotec inc, 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


FACS Plots Showing Lin − Sca1 + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.

Journal: STAR Protocols

Article Title: Protocol for Efficient CRISPR/Cas9/AAV-Mediated Homologous Recombination in Mouse Hematopoietic Stem and Progenitor Cells

doi: 10.1016/j.xpro.2020.100028

Figure Lengend Snippet: FACS Plots Showing Lin − Sca1 + c-Kit + (LSK) Cell Fractions after MACS Purification and 2 Days of Culture Bone marrow cells were stained with α-mouse lineage cocktail, Sca1, and c-Kit antibodies. (A) The negative fraction of the LS column should be almost completely depleted of Sca1 + cells. (B) The positive fraction eluted from the LS or MS separation column is enriched in LSK cells and progenitor cells, which all express Sca1. The LSK population should comprise 6 to 8% of the Sca1 + cell fraction. Lymphoid progenitor cells require IL-7 to survive and will be depleted upon culturing with 50 ng/mL mTPO, mSCF, mFLT-3, and hIL-11. (C) Purified LSK cell fraction after 2 days of culture in HSPC medium.

Article Snippet: Anti-mouse Sca1 MicroBead Kit (VioBrightTM FITC) , Miltenyi Biotec , Cat#130-123-124.

Techniques: Purification, Staining

Journal: STAR Protocols

Article Title: Protocol for Efficient CRISPR/Cas9/AAV-Mediated Homologous Recombination in Mouse Hematopoietic Stem and Progenitor Cells

doi: 10.1016/j.xpro.2020.100028

Figure Lengend Snippet:

Article Snippet: Anti-mouse Sca1 MicroBead Kit (VioBrightTM FITC) , Miltenyi Biotec , Cat#130-123-124.

Techniques: Virus, Recombinant, DNA Extraction, Cloning, Modification, Plasmid Preparation, Software, Adhesive, Real-time Polymerase Chain Reaction, Sterility, Centrifugation

scRNA-seq analyses revealed Sca1 + cells repopulate ECs in mouse femoral artery after injury (A) Normal femoral arteries (NC) and injured femoral arteries were digested and analyzed by scRNA-seq after 2 (FAI2W) or 4 (FAI4W) weeks. Umap plot showed visualization of unsupervised clustering of all groups. (B) Dot plot of canonical cell markers identified EC cluster ( Kdr , Flt1 , Cdh5 , Pecam1 , and Nos3 ) and SPC cluster ( Cd34 , Ly6a , and Pdgfra ). (C) Bar plot showed the constitution of Ly6a (Sca1) + or Ly6a − cells among ECs of each group. (D) Differentially expressed genes between Ly6a + and Ly6a − cells were identified and analyzed using GO enrichment. The top 10 enriched biological process terms were presented. (E) Trajectory analysis of the differentiation process from SPCs to ECs; the color change from green to blue indicates the cell’s progression from a primitive to a more developed state. (F) The expression levels of canonical EC markers and SPC markers are shown alongside the differentiation trajectory. See also <xref ref-type=Figure S1 . " width="100%" height="100%">

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: scRNA-seq analyses revealed Sca1 + cells repopulate ECs in mouse femoral artery after injury (A) Normal femoral arteries (NC) and injured femoral arteries were digested and analyzed by scRNA-seq after 2 (FAI2W) or 4 (FAI4W) weeks. Umap plot showed visualization of unsupervised clustering of all groups. (B) Dot plot of canonical cell markers identified EC cluster ( Kdr , Flt1 , Cdh5 , Pecam1 , and Nos3 ) and SPC cluster ( Cd34 , Ly6a , and Pdgfra ). (C) Bar plot showed the constitution of Ly6a (Sca1) + or Ly6a − cells among ECs of each group. (D) Differentially expressed genes between Ly6a + and Ly6a − cells were identified and analyzed using GO enrichment. The top 10 enriched biological process terms were presented. (E) Trajectory analysis of the differentiation process from SPCs to ECs; the color change from green to blue indicates the cell’s progression from a primitive to a more developed state. (F) The expression levels of canonical EC markers and SPC markers are shown alongside the differentiation trajectory. See also Figure S1 .

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Expressing

Vascular Sca1 + cells exhibit endothelial differentiation potential in artery injury and repair (A) Immunofluorescence staining of healthy femoral artery for CD31 and Sca1 + lineage marker tdTomato (tdT) using Sca1-CreER T2 ;Rosa26-tdTomato mouse model. The right panel showed magnification of the boxed region. (B) Immunofluorescence staining of injured femoral artery for CD31 and tdTomato (Sca1 + lineage). The right panel and the panel below showed magnification of the boxed regions. For merge images, scale bars, 100 μm. For magnification images, scale bars, 20 μm. (C) Quantification of the percentage of CD31 + tdT + cells in CD31 + cells of healthy femoral artery (HFA) and injured femoral artery (IFA). Data represent mean ± SEM, n = 6 in each group. p value was specified in the graph. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values. See also <xref ref-type=Figure S2 . " width="100%" height="100%">

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: Vascular Sca1 + cells exhibit endothelial differentiation potential in artery injury and repair (A) Immunofluorescence staining of healthy femoral artery for CD31 and Sca1 + lineage marker tdTomato (tdT) using Sca1-CreER T2 ;Rosa26-tdTomato mouse model. The right panel showed magnification of the boxed region. (B) Immunofluorescence staining of injured femoral artery for CD31 and tdTomato (Sca1 + lineage). The right panel and the panel below showed magnification of the boxed regions. For merge images, scale bars, 100 μm. For magnification images, scale bars, 20 μm. (C) Quantification of the percentage of CD31 + tdT + cells in CD31 + cells of healthy femoral artery (HFA) and injured femoral artery (IFA). Data represent mean ± SEM, n = 6 in each group. p value was specified in the graph. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values. See also Figure S2 .

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Immunofluorescence, Staining, Marker, Two Tailed Test

Vascular Sca1 + cells differentiate into ECs in vein graft (A) Immunofluorescence staining of normal vena cava for CD31 and tdTomato (tdT, Sca1 + lineage). The right panel showed magnification of the boxed region. (B) Immunofluorescence staining of vein graft for CD31 and tdTomato. The right panel and the panel below showed magnification of the boxed regions. (C) Quantification of the percentage of CD31 + tdT + cells in CD31 + cells of both groups. (D) Sca1-CreER T2 ; Rosa26-tdTomato mice were bred with Rosa26-iDTR mice. Tamoxifen was given to label Sca1 + cells and diphtheria toxin (DT) injection was performed to ablate certain cells. Immunostaining for tdTomato and CD31 on vein graft sections after DT administration. For merge images, scale bars, 100 μm. For magnification images, scale bars, 20 μm. Data represent mean ± SEM, n = 5 in each group. p value was specified in the graph. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values.

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: Vascular Sca1 + cells differentiate into ECs in vein graft (A) Immunofluorescence staining of normal vena cava for CD31 and tdTomato (tdT, Sca1 + lineage). The right panel showed magnification of the boxed region. (B) Immunofluorescence staining of vein graft for CD31 and tdTomato. The right panel and the panel below showed magnification of the boxed regions. (C) Quantification of the percentage of CD31 + tdT + cells in CD31 + cells of both groups. (D) Sca1-CreER T2 ; Rosa26-tdTomato mice were bred with Rosa26-iDTR mice. Tamoxifen was given to label Sca1 + cells and diphtheria toxin (DT) injection was performed to ablate certain cells. Immunostaining for tdTomato and CD31 on vein graft sections after DT administration. For merge images, scale bars, 100 μm. For magnification images, scale bars, 20 μm. Data represent mean ± SEM, n = 5 in each group. p value was specified in the graph. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values.

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Immunofluorescence, Staining, Injection, Immunostaining, Two Tailed Test

Isolated Sca1 + cells could differentiate into ECs with VEGF treatment in vitro (A) The morphological changes in Sca1 + cells after treatment with 50 ng/ml VEGF for 0–5 days. (B) mRNA expression level of EC markers Kdr , Flt1 , and Pecam1 as determined by RT-PCR at different time points after culture with VEGF. (C) Protein expression level of PECAM1, CDH5, and KDR as determined by western blotting assay. (D) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (E) Immunofluorescence staining of CD31 in Sca1 + cells treated with VEGF at different time points. Scale bars, 25 μm. Data represent mean ± SEM. ∗∗∗ p < 0.001, ∗∗ p < 0.01, ns p ≥ 0.05. n = 3 in each group. Statistical differences between groups were determined by one-way ANOVA analysis of variance with method of multiple comparisons.

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: Isolated Sca1 + cells could differentiate into ECs with VEGF treatment in vitro (A) The morphological changes in Sca1 + cells after treatment with 50 ng/ml VEGF for 0–5 days. (B) mRNA expression level of EC markers Kdr , Flt1 , and Pecam1 as determined by RT-PCR at different time points after culture with VEGF. (C) Protein expression level of PECAM1, CDH5, and KDR as determined by western blotting assay. (D) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (E) Immunofluorescence staining of CD31 in Sca1 + cells treated with VEGF at different time points. Scale bars, 25 μm. Data represent mean ± SEM. ∗∗∗ p < 0.001, ∗∗ p < 0.01, ns p ≥ 0.05. n = 3 in each group. Statistical differences between groups were determined by one-way ANOVA analysis of variance with method of multiple comparisons.

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Isolation, In Vitro, Expressing, Reverse Transcription Polymerase Chain Reaction, Western Blot, Immunofluorescence, Staining

The effect of miR-145-5p on the differentiation of Sca1 + cells to ECs with VEGF treatment (A) RT-PCR analysis for the expression of miR-145-5p in Sca1 + cells treated with VEGF at different time points. (B) RT-PCR showed expression of miR-145-5p in Sca1 + cells after transfection with mimic control/miR-145-5p mimic and inhibitor control/miR-145-5p inhibitor. (C) and (D) RT-PCR analysis for the expression of Pecam1 , Flt1 , and Cdh5 in Sca1 + cells transfected with mimic control/miR-145 mimic or inhibitor control/miR-145 inhibitor and cultured in VEGF. (E) the protein expression level of PECAM1, CDH5 and KDR as determined by western blotting assay in each group. (F) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (G) Immunofluorescence staining of CD31 ( Pecam1 ) in Sca1 + cells and (H) analysis for fluorescence intensity of CD31 in each group, n = 3. scale bars, 25 μm. Data represent mean ± SEM. ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns p ≥ 0.05. Statistical differences between groups were determined by one-way analysis of variance with method of multiple comparisons. See also <xref ref-type=Figure S3 . " width="100%" height="100%">

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: The effect of miR-145-5p on the differentiation of Sca1 + cells to ECs with VEGF treatment (A) RT-PCR analysis for the expression of miR-145-5p in Sca1 + cells treated with VEGF at different time points. (B) RT-PCR showed expression of miR-145-5p in Sca1 + cells after transfection with mimic control/miR-145-5p mimic and inhibitor control/miR-145-5p inhibitor. (C) and (D) RT-PCR analysis for the expression of Pecam1 , Flt1 , and Cdh5 in Sca1 + cells transfected with mimic control/miR-145 mimic or inhibitor control/miR-145 inhibitor and cultured in VEGF. (E) the protein expression level of PECAM1, CDH5 and KDR as determined by western blotting assay in each group. (F) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (G) Immunofluorescence staining of CD31 ( Pecam1 ) in Sca1 + cells and (H) analysis for fluorescence intensity of CD31 in each group, n = 3. scale bars, 25 μm. Data represent mean ± SEM. ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns p ≥ 0.05. Statistical differences between groups were determined by one-way analysis of variance with method of multiple comparisons. See also Figure S3 .

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Reverse Transcription Polymerase Chain Reaction, Expressing, Transfection, Control, Cell Culture, Western Blot, Immunofluorescence, Staining, Fluorescence

The effects of miR-145-5p on the proliferation and migration of Sca1 + cells (A) CCK8 assay for the effect of miR-145-5p overexpression on the proliferation of Sca1 + cells. Transwell migration assay (B) and wound healing assay (C) for the effect of miR-145-5p overexpression on the migration of Sca1 + cells. n = 3 in each group. Scale bars, 25 μm. Data represent mean ± SEM. ∗ p < 0.05, ∗∗ p < 0.01, ns p ≥ 0.05. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values.

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: The effects of miR-145-5p on the proliferation and migration of Sca1 + cells (A) CCK8 assay for the effect of miR-145-5p overexpression on the proliferation of Sca1 + cells. Transwell migration assay (B) and wound healing assay (C) for the effect of miR-145-5p overexpression on the migration of Sca1 + cells. n = 3 in each group. Scale bars, 25 μm. Data represent mean ± SEM. ∗ p < 0.05, ∗∗ p < 0.01, ns p ≥ 0.05. Statistical differences between groups were determined by two-tailed Student’s t test for normally distributed values.

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Migration, CCK-8 Assay, Over Expression, Transwell Migration Assay, Wound Healing Assay, Two Tailed Test

MiR-145-5p targets ERG to regulate differentiation of Sca1 + cells into ECs (A) The database TargetScan shows the combining site of miR-145-5p on ERG’s 3′-UTR region. (B) Luciferase activity of 293T cells co-transfected with wild type ERG-3′UTR and mimic control/miR-145-5p mimic or inhibitor control/miR-145-5p inhibitor. (C) Luciferase activity of Sca1 + cells co-transfected with mutant ERG-3′UTR and mimic control/miR-145-5p mimic or inhibitor control/miR-145-5p inhibitor. (D) Erg mRNA expression in Sca1 + cells transfected with mimic control or miR-145-5p mimic as measured by RT-PCR. (E) ERG expression of Sca1 + cells transfected with control plasmid vector (pcDNA-control) or plasmid to overexpress ERG (pcDNA-ERG) as measured by RT-PCR. (F) mRNA expression of Kdr , Pecam1 and Flt1 in Sca1 + cells transfected with pcDNA-control or pcDNA-ERG after treated with VEGF. (G) Protein expression level of KDR, PECAM1, and CDH5 in Sca1 + cells transfected with pcDNA-control or pcDNA-ERG after treated with VEGF. (H) mRNA expression of Kdr , Pecam1 and Flt1 in Sca1 + cells of each group as indicated. (I) Protein expression level of KDR, PECAM1, and CDH5 in Sca1 + cells of each group as indicated. (J) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (K) Expression level of miR-145-5p in healthy cephalic vein and arteriovenous fistula (AVF) as determined by RT-PCR. p value between the 2 groups were specified in the graph. n = 12 in the healthy group and n = 8 in the AVF group. Data represent mean ± SEM. Statistical differences between groups were determined by one-way ANOVA analysis of variance with method of multiple comparisons or (D,E,K) two-tailed Student’s t test for normally distributed values.∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗∗ p < 0.0001, ns p ≥ 0.05. See also <xref ref-type=Figure S4 - . " width="100%" height="100%">

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet: MiR-145-5p targets ERG to regulate differentiation of Sca1 + cells into ECs (A) The database TargetScan shows the combining site of miR-145-5p on ERG’s 3′-UTR region. (B) Luciferase activity of 293T cells co-transfected with wild type ERG-3′UTR and mimic control/miR-145-5p mimic or inhibitor control/miR-145-5p inhibitor. (C) Luciferase activity of Sca1 + cells co-transfected with mutant ERG-3′UTR and mimic control/miR-145-5p mimic or inhibitor control/miR-145-5p inhibitor. (D) Erg mRNA expression in Sca1 + cells transfected with mimic control or miR-145-5p mimic as measured by RT-PCR. (E) ERG expression of Sca1 + cells transfected with control plasmid vector (pcDNA-control) or plasmid to overexpress ERG (pcDNA-ERG) as measured by RT-PCR. (F) mRNA expression of Kdr , Pecam1 and Flt1 in Sca1 + cells transfected with pcDNA-control or pcDNA-ERG after treated with VEGF. (G) Protein expression level of KDR, PECAM1, and CDH5 in Sca1 + cells transfected with pcDNA-control or pcDNA-ERG after treated with VEGF. (H) mRNA expression of Kdr , Pecam1 and Flt1 in Sca1 + cells of each group as indicated. (I) Protein expression level of KDR, PECAM1, and CDH5 in Sca1 + cells of each group as indicated. (J) Protein bands were quantified by densitometry and normalized to the density of Tubulin. (K) Expression level of miR-145-5p in healthy cephalic vein and arteriovenous fistula (AVF) as determined by RT-PCR. p value between the 2 groups were specified in the graph. n = 12 in the healthy group and n = 8 in the AVF group. Data represent mean ± SEM. Statistical differences between groups were determined by one-way ANOVA analysis of variance with method of multiple comparisons or (D,E,K) two-tailed Student’s t test for normally distributed values.∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗∗ p < 0.0001, ns p ≥ 0.05. See also Figure S4 - .

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Luciferase, Activity Assay, Transfection, Control, Mutagenesis, Expressing, Reverse Transcription Polymerase Chain Reaction, Plasmid Preparation, Two Tailed Test

Journal: iScience

Article Title: Resident vascular Sca1 + progenitors differentiate into endothelial cells in vascular remodeling via miR-145-5p/ERG signaling pathway

doi: 10.1016/j.isci.2024.110080

Figure Lengend Snippet:

Article Snippet: Sca1+ microbeads kit , Miltenyi Biotec , Cat#130-122-615.

Techniques: Recombinant, Lysis, Purification, Luciferase, Reporter Assay, CCK-8 Assay, Plasmid Preparation, Software

(A) Schematic representation of the workflow applied to study FAP heterogeneity. (B) Representative viSNE maps of total mononuclear cells isolated from young wild type and mdx mice. The four clusters produce by FlowSOM algorithm were mapped onto the viSNE maps and correspond to the following mononuclear cell populations: FAPs (blue), endothelial cells (orange), leukocytes (green) and muscle satellite cells (MuSCs, red). (C) Representative Self Organizing Maps (SOMs) of FAPs identified in (A). SOMs were obtained with the FlowSOM algorithm. Each node represents a cluster of cells, nodes with similar expression profile are linked by an edge. Colour of nodes indicate SCA-1 expression level. Node outlines indicate the four metaclusters (red, blue, black and green) obtained by the algorithm. Red and blue shadings highlight FAPs expressing high levels (red and blue metaclusters, called SCA1-High-FAPs) and low levels (black and green metaclusters, called SCA1-Low-FAPs) of SCA-1. (D) Stacked bar plot showing the fraction of SCA1-High-FAPs and SCA1-Low-FAPs in wild type and mdx mice. Data are presented as mean ± SEM. Statistical significance was estimated by a One-way ANOVA, * p ≤ 0.05, ** p ≤ 0.01. n = 4. (E) Representative SCA-1 histograms of FAPs from wild type and mdx mice identified in (B) and their standard deviations (SD) showing a typical micro-heterogeneity profile. (F) Sorting strategy to decompose SCA-1 micro-heterogeneity and to isolate SCA1-High-FAPs and SCA1-Low-FAPs from mdx mice. Complete strategy, Fluorescence minus one (FMO) controls and cell states purity in Supplementary Figure 3.

Journal: bioRxiv

Article Title: SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors

doi: 10.1101/2020.05.14.096438

Figure Lengend Snippet: (A) Schematic representation of the workflow applied to study FAP heterogeneity. (B) Representative viSNE maps of total mononuclear cells isolated from young wild type and mdx mice. The four clusters produce by FlowSOM algorithm were mapped onto the viSNE maps and correspond to the following mononuclear cell populations: FAPs (blue), endothelial cells (orange), leukocytes (green) and muscle satellite cells (MuSCs, red). (C) Representative Self Organizing Maps (SOMs) of FAPs identified in (A). SOMs were obtained with the FlowSOM algorithm. Each node represents a cluster of cells, nodes with similar expression profile are linked by an edge. Colour of nodes indicate SCA-1 expression level. Node outlines indicate the four metaclusters (red, blue, black and green) obtained by the algorithm. Red and blue shadings highlight FAPs expressing high levels (red and blue metaclusters, called SCA1-High-FAPs) and low levels (black and green metaclusters, called SCA1-Low-FAPs) of SCA-1. (D) Stacked bar plot showing the fraction of SCA1-High-FAPs and SCA1-Low-FAPs in wild type and mdx mice. Data are presented as mean ± SEM. Statistical significance was estimated by a One-way ANOVA, * p ≤ 0.05, ** p ≤ 0.01. n = 4. (E) Representative SCA-1 histograms of FAPs from wild type and mdx mice identified in (B) and their standard deviations (SD) showing a typical micro-heterogeneity profile. (F) Sorting strategy to decompose SCA-1 micro-heterogeneity and to isolate SCA1-High-FAPs and SCA1-Low-FAPs from mdx mice. Complete strategy, Fluorescence minus one (FMO) controls and cell states purity in Supplementary Figure 3.

Article Snippet: The full list of antibodies purchased from Fluidigm is: anti-CD45 89Y (3089005B); anti-CD146 141Pr (3155006B); anti-cleaved CASP-3 142Nd (3142004A); anti-CD34 144Nd (3143009B); anti-phospho-EGFR 146Nd (3146007A); anti-CD140a 148Nd (3148018B); anti-pRB 150Nd (3150013A); anti-CD140b 151Eu (3151017B); anti-Vimentin 154Sm (3154014A); anti-CD90.2 156Gd (3156006B); anti-phospho-STAT3 158Gd (3158005A); anti-CXCR-4 159Tb (3159030B); anti-Integrin alpha-7 161Dy (67-0010-05); anti-SCA-1 164Dy (3164005B); anti-phospho-CREB-1 176Yb (3176005A); DNA1 191Ir and DNA2 193Ir (201192A); Cisplatin 195Pt (201194); anti-CD31 165Ho (3165013B); anti-Actin 175Lu (3175026A); anti-c-kit 166Er (3166004B).

Techniques: Isolation, Expressing, Fluorescence

(A) SCA-1 histograms of the whole FAP compartment (left), freshly isolated cell states (middle) and cell states expanded 9 days in Cytogrow (right). FAP compartment was analysed as followed: CD45 - CD31 - cells isolated by MACS were stained with antibodies against Integrin alpha-7 and SCA-1; next a gating strategy (Supplemetary Figure 4B; unstained cells in Supplementary Figure 4A) was applied to obtain Integrin alpha-7 - SCA-1 + cells. Cell states were isolated as described and then analysed by flow cytometry (gating strategy in Supplementary Figure 4D and 4E for SCA1-High-FAPs and SCA1-Low-FAPs respectively; controls in Supplementary Figure 4C). n =3. (B) Representative crop of micrographs of SCA1-High-FAPs (left) and SCA1-Low-FAPs (right) cultured ex vivo . Cytoplasms were stained with CFSE (yellow) and nuclei were counterstained with Hoechst 33342 (blue). Scale bar 50 μm. (C), (D) and (E) Box plots representing CFSE positive area, aspect ratio (AR) and roundness of SCA1-High-FAPs (n = 96) and SCA1-Low-FAPs (n = 94) from three different biological replicates. Whiskers are minimum and maximum values of the distribution. Statistical significance was estimated by a two tailed Mann-Whitney test after a normality test.

Journal: bioRxiv

Article Title: SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors

doi: 10.1101/2020.05.14.096438

Figure Lengend Snippet: (A) SCA-1 histograms of the whole FAP compartment (left), freshly isolated cell states (middle) and cell states expanded 9 days in Cytogrow (right). FAP compartment was analysed as followed: CD45 - CD31 - cells isolated by MACS were stained with antibodies against Integrin alpha-7 and SCA-1; next a gating strategy (Supplemetary Figure 4B; unstained cells in Supplementary Figure 4A) was applied to obtain Integrin alpha-7 - SCA-1 + cells. Cell states were isolated as described and then analysed by flow cytometry (gating strategy in Supplementary Figure 4D and 4E for SCA1-High-FAPs and SCA1-Low-FAPs respectively; controls in Supplementary Figure 4C). n =3. (B) Representative crop of micrographs of SCA1-High-FAPs (left) and SCA1-Low-FAPs (right) cultured ex vivo . Cytoplasms were stained with CFSE (yellow) and nuclei were counterstained with Hoechst 33342 (blue). Scale bar 50 μm. (C), (D) and (E) Box plots representing CFSE positive area, aspect ratio (AR) and roundness of SCA1-High-FAPs (n = 96) and SCA1-Low-FAPs (n = 94) from three different biological replicates. Whiskers are minimum and maximum values of the distribution. Statistical significance was estimated by a two tailed Mann-Whitney test after a normality test.

Article Snippet: The full list of antibodies purchased from Fluidigm is: anti-CD45 89Y (3089005B); anti-CD146 141Pr (3155006B); anti-cleaved CASP-3 142Nd (3142004A); anti-CD34 144Nd (3143009B); anti-phospho-EGFR 146Nd (3146007A); anti-CD140a 148Nd (3148018B); anti-pRB 150Nd (3150013A); anti-CD140b 151Eu (3151017B); anti-Vimentin 154Sm (3154014A); anti-CD90.2 156Gd (3156006B); anti-phospho-STAT3 158Gd (3158005A); anti-CXCR-4 159Tb (3159030B); anti-Integrin alpha-7 161Dy (67-0010-05); anti-SCA-1 164Dy (3164005B); anti-phospho-CREB-1 176Yb (3176005A); DNA1 191Ir and DNA2 193Ir (201192A); Cisplatin 195Pt (201194); anti-CD31 165Ho (3165013B); anti-Actin 175Lu (3175026A); anti-c-kit 166Er (3166004B).

Techniques: Isolation, Staining, Flow Cytometry, Cell Culture, Ex Vivo, Two Tailed Test, MANN-WHITNEY

(A) Experimental design to induce adipogenic differentiation of mdx FAP cell states. GM = growth medium; AIM = adipogenic induction medium; MM = maintenance medium. (B) and (C) Bar plots showing the percentage of ORO positive cells and PPAR-gamma positive cells per field. AM = adipogenic medium (AM = AIM + MM). n = 4. Statistical analysis was performed by a Two-way ANOVA. (D) Representative micrographs of (B) and (C). Cells were immunolabelled for PPAR-gamma (yellow) and nuclei were counterstained with Hoechst 33342 (blue). Lipid droplets were stained with ORO (red). (E) Experimental design applied to obtain fully differentiated adipocytes. (F) Bar plot indicating the percentage of ORO positive cells. n = 3. Statistical significance was calculated through a Student t-test. (G) Representative micrographs of (F). Lipid droplets in red (ORO staining) and nuclei in blue (Hoechst 33342). (H) Representative viSNE maps showing the expression of SCA-1 and phospho-CREB-1 assessed by mass cytometry in FAPs isolated from mdx mouse by MACS and cultured 72 hours either in GM or AIM. (I) Cluster 1 (in blue) and cluster 2 (in orange) obtained applying the FlowSOM algorithm and then mapped onto viSNE maps. (J) Plot representing the expression in arbitrary units of SCA-1 and phospho-CREB-1 identified in (J). (H) Representative viSNE maps of FAPs isolated by MACS from mdx mice and then incubated either to GM or to AIM. The upper maps show expression level of SCA-1, while the lower maps show the level of phospho-CREB-1. n = 3. (I) Representative viSNE maps showing the two clusters produced by the clustering approach. (J) Dot plot showing the expression level of SCA-1 and the level of phospho-CREB-1 (both in arbitrary units) in the metaclusters from (I). Data are presented as mean ± SEM. ** p ≤ 0.01, *** p ≤ 0.001. Scale bars 100 μm.

Journal: bioRxiv

Article Title: SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors

doi: 10.1101/2020.05.14.096438

Figure Lengend Snippet: (A) Experimental design to induce adipogenic differentiation of mdx FAP cell states. GM = growth medium; AIM = adipogenic induction medium; MM = maintenance medium. (B) and (C) Bar plots showing the percentage of ORO positive cells and PPAR-gamma positive cells per field. AM = adipogenic medium (AM = AIM + MM). n = 4. Statistical analysis was performed by a Two-way ANOVA. (D) Representative micrographs of (B) and (C). Cells were immunolabelled for PPAR-gamma (yellow) and nuclei were counterstained with Hoechst 33342 (blue). Lipid droplets were stained with ORO (red). (E) Experimental design applied to obtain fully differentiated adipocytes. (F) Bar plot indicating the percentage of ORO positive cells. n = 3. Statistical significance was calculated through a Student t-test. (G) Representative micrographs of (F). Lipid droplets in red (ORO staining) and nuclei in blue (Hoechst 33342). (H) Representative viSNE maps showing the expression of SCA-1 and phospho-CREB-1 assessed by mass cytometry in FAPs isolated from mdx mouse by MACS and cultured 72 hours either in GM or AIM. (I) Cluster 1 (in blue) and cluster 2 (in orange) obtained applying the FlowSOM algorithm and then mapped onto viSNE maps. (J) Plot representing the expression in arbitrary units of SCA-1 and phospho-CREB-1 identified in (J). (H) Representative viSNE maps of FAPs isolated by MACS from mdx mice and then incubated either to GM or to AIM. The upper maps show expression level of SCA-1, while the lower maps show the level of phospho-CREB-1. n = 3. (I) Representative viSNE maps showing the two clusters produced by the clustering approach. (J) Dot plot showing the expression level of SCA-1 and the level of phospho-CREB-1 (both in arbitrary units) in the metaclusters from (I). Data are presented as mean ± SEM. ** p ≤ 0.01, *** p ≤ 0.001. Scale bars 100 μm.

Article Snippet: The full list of antibodies purchased from Fluidigm is: anti-CD45 89Y (3089005B); anti-CD146 141Pr (3155006B); anti-cleaved CASP-3 142Nd (3142004A); anti-CD34 144Nd (3143009B); anti-phospho-EGFR 146Nd (3146007A); anti-CD140a 148Nd (3148018B); anti-pRB 150Nd (3150013A); anti-CD140b 151Eu (3151017B); anti-Vimentin 154Sm (3154014A); anti-CD90.2 156Gd (3156006B); anti-phospho-STAT3 158Gd (3158005A); anti-CXCR-4 159Tb (3159030B); anti-Integrin alpha-7 161Dy (67-0010-05); anti-SCA-1 164Dy (3164005B); anti-phospho-CREB-1 176Yb (3176005A); DNA1 191Ir and DNA2 193Ir (201192A); Cisplatin 195Pt (201194); anti-CD31 165Ho (3165013B); anti-Actin 175Lu (3175026A); anti-c-kit 166Er (3166004B).

Techniques: Staining, Expressing, Mass Cytometry, Isolation, Cell Culture, Incubation, Produced

(A) viSNE map representing the different clusters identified as distinct cell populations according to the expression of specific biomarkers. Identified populations are: Myocytes, B-cells, FAPs, Smooth Muscle cells, MuSCs, Endothelial Cells, Macrophages, T-cells, Tenocytes and Neurons. (B) The FAPs population subset has been re-clustered, leading to 4 distinct clusters according to their gene expression profile. The four clusters (0, 1, 2, 3) were mapped onto the viSNE map of FAPs. (C) The expression of SCA-1 antigen has been mapped to each cell of the dataset. (D) viSNE map of FAPs in which clusters 0, 2, 3 are collapsed together to obtain two clusters expressing high level (SCA-1 High) and low level (SCA-1 Low) of SCA-1. (E) Stacked bar plot showing the percentage of the two population on the basis of SCA-1 expression levels across different ages.

Journal: bioRxiv

Article Title: SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors

doi: 10.1101/2020.05.14.096438

Figure Lengend Snippet: (A) viSNE map representing the different clusters identified as distinct cell populations according to the expression of specific biomarkers. Identified populations are: Myocytes, B-cells, FAPs, Smooth Muscle cells, MuSCs, Endothelial Cells, Macrophages, T-cells, Tenocytes and Neurons. (B) The FAPs population subset has been re-clustered, leading to 4 distinct clusters according to their gene expression profile. The four clusters (0, 1, 2, 3) were mapped onto the viSNE map of FAPs. (C) The expression of SCA-1 antigen has been mapped to each cell of the dataset. (D) viSNE map of FAPs in which clusters 0, 2, 3 are collapsed together to obtain two clusters expressing high level (SCA-1 High) and low level (SCA-1 Low) of SCA-1. (E) Stacked bar plot showing the percentage of the two population on the basis of SCA-1 expression levels across different ages.

Article Snippet: The full list of antibodies purchased from Fluidigm is: anti-CD45 89Y (3089005B); anti-CD146 141Pr (3155006B); anti-cleaved CASP-3 142Nd (3142004A); anti-CD34 144Nd (3143009B); anti-phospho-EGFR 146Nd (3146007A); anti-CD140a 148Nd (3148018B); anti-pRB 150Nd (3150013A); anti-CD140b 151Eu (3151017B); anti-Vimentin 154Sm (3154014A); anti-CD90.2 156Gd (3156006B); anti-phospho-STAT3 158Gd (3158005A); anti-CXCR-4 159Tb (3159030B); anti-Integrin alpha-7 161Dy (67-0010-05); anti-SCA-1 164Dy (3164005B); anti-phospho-CREB-1 176Yb (3176005A); DNA1 191Ir and DNA2 193Ir (201192A); Cisplatin 195Pt (201194); anti-CD31 165Ho (3165013B); anti-Actin 175Lu (3175026A); anti-c-kit 166Er (3166004B).

Techniques: Expressing

Two FAP cell states expressing high and low levels of SCA-1 respectively were isolated from the hind limb muscles of mdx mice. The two cell states were tested for their differentiation and proliferation properties in vitro . SCA1-High-FAPs are more proliferating and more adipogenic cells in comparison with SCA1-Low-FAPs. Leukocytes from old dystrophic mice strongly inhibit adipogenesis in SCA1-Low-FAPs while are less effective on SCA1-High-FAPs.

Journal: bioRxiv

Article Title: SCA-1 micro-heterogeneity in the fate decision of dystrophic fibro/adipogenic progenitors

doi: 10.1101/2020.05.14.096438

Figure Lengend Snippet: Two FAP cell states expressing high and low levels of SCA-1 respectively were isolated from the hind limb muscles of mdx mice. The two cell states were tested for their differentiation and proliferation properties in vitro . SCA1-High-FAPs are more proliferating and more adipogenic cells in comparison with SCA1-Low-FAPs. Leukocytes from old dystrophic mice strongly inhibit adipogenesis in SCA1-Low-FAPs while are less effective on SCA1-High-FAPs.

Article Snippet: The full list of antibodies purchased from Fluidigm is: anti-CD45 89Y (3089005B); anti-CD146 141Pr (3155006B); anti-cleaved CASP-3 142Nd (3142004A); anti-CD34 144Nd (3143009B); anti-phospho-EGFR 146Nd (3146007A); anti-CD140a 148Nd (3148018B); anti-pRB 150Nd (3150013A); anti-CD140b 151Eu (3151017B); anti-Vimentin 154Sm (3154014A); anti-CD90.2 156Gd (3156006B); anti-phospho-STAT3 158Gd (3158005A); anti-CXCR-4 159Tb (3159030B); anti-Integrin alpha-7 161Dy (67-0010-05); anti-SCA-1 164Dy (3164005B); anti-phospho-CREB-1 176Yb (3176005A); DNA1 191Ir and DNA2 193Ir (201192A); Cisplatin 195Pt (201194); anti-CD31 165Ho (3165013B); anti-Actin 175Lu (3175026A); anti-c-kit 166Er (3166004B).

Techniques: Expressing, Isolation, In Vitro

Fig. 3. Number of hematopoietic colonies at day 15 and surface marker profile of day 18 induced cells. (A) Hematopoietic colonies at day 15 of induction. Data are shown as the mean ± SD of six samples (*P < 0.01 by t-test). (B) c-Kit and Sca-1 expression on the cells persistent at day 18 of induction with the expression of GATA-2. The majority of EGFP-positive cells expressed c-Kit and Sca-1, markers of immature hematopoietic cells.

Journal:

Article Title: GATA-2 and GATA-2/ER display opposing activities in the development and differentiation of blood progenitors

doi: 10.1093/emboj/cdf301

Figure Lengend Snippet: Fig. 3. Number of hematopoietic colonies at day 15 and surface marker profile of day 18 induced cells. (A) Hematopoietic colonies at day 15 of induction. Data are shown as the mean ± SD of six samples (*P < 0.01 by t-test). (B) c-Kit and Sca-1 expression on the cells persistent at day 18 of induction with the expression of GATA-2. The majority of EGFP-positive cells expressed c-Kit and Sca-1, markers of immature hematopoietic cells.

Article Snippet: Phycoerythrin (PE)-conjugated anti-mouse Mac-1 (M1.70), Sca-1 (IOT-6A.2) and c-kit (3C1) antibodies were purchased from Immunotech (Marseille, France).

Techniques: Marker, Expressing