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ATCC human ad msc secretome against s aureus atcc 25923
Human Ad Msc Secretome Against S Aureus Atcc 25923, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec ev enriched secretome preparations
GMP‐manufacturing process for an EV‐enriched <t>secretome</t> from CPC. (a) Schematic representation of the three main steps of the GMP‐manufacturing of the EV‐enriched secretome final product. (b) Overview of the QC strategy for the characterisation of CPC during the manufacturing process (in‐process monitoring) and of the final product. M/F, Male/Female. Image created with BioRender.com.
Ev Enriched Secretome Preparations, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Human Protein Atlas human secretome annotations
Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five <t>secretome</t> annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.
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Human Protein Atlas human secretome database
Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five <t>secretome</t> annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.
Human Secretome Database, supplied by Human Protein Atlas, 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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Human Protein Atlas human secretome
Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five <t>secretome</t> annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.
Human Secretome, supplied by Human Protein Atlas, 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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Human Protein Atlas human protein atlas secretome dataset
Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five <t>secretome</t> annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.
Human Protein Atlas Secretome Dataset, supplied by Human Protein Atlas, 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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BioMedics Japan secretome from human dermal fibroblasts spheroids
Biogenesis of <t>secretome.</t>
Secretome From Human Dermal Fibroblasts Spheroids, supplied by BioMedics Japan, 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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Bruker Corporation single-cell secretome human inflammation panel
IL-23 enhances production of cytotoxic molecules and IL-10 by MAIT cells (A) Percentage of IL-23R positive cells in different immune cell populations was assessed by flow cytometry on freshly isolated PBMCs ( n = 11). (B and C) PBMC were activated with Tet for 6 days or left unstimulated (black). Sorted MAIT cells (CD3 + CD161 + Va7.2 + ) were re-stimulated with Tet in the absence (gray) or presence of IL-23 (red) or IL-12 (blue) for 24 h. Cytokine secretion in the supernatants was measured using Luminex technology ( n = 9). (B) Heatmap of measured cytokines. Dendograms on the top and left sides correspond to hierarchical clustering. (C) Boxplots (lines correspond to the first quartile, the median and the third quartile) representing the concentration of the indicated cytokines (adjusted p values, paired Wilcoxon test, Benjamini-Hochberg correction). (D) Single cell <t>secretome</t> of MAIT cells activated for 6 days with Tet in the presence or absence of IL-23 or IL-12 was assessed using Isolight technology. The heatmap represents the single-cell co-secretion patterns and their frequencies ( n = 4). The values for granzyme B are ∼15% for the Tet+IL-23 condition, and ∼17% for Tet+IL-12. See also <xref ref-type=Figure S1 and Tables S1 and . " width="250" height="auto" />
Single Cell Secretome Human Inflammation Panel, supplied by Bruker Corporation, 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


GMP‐manufacturing process for an EV‐enriched secretome from CPC. (a) Schematic representation of the three main steps of the GMP‐manufacturing of the EV‐enriched secretome final product. (b) Overview of the QC strategy for the characterisation of CPC during the manufacturing process (in‐process monitoring) and of the final product. M/F, Male/Female. Image created with BioRender.com.

Journal: Journal of Extracellular Vesicles

Article Title: GMP‐Compliant Process for the Manufacturing of an Extracellular Vesicles‐Enriched Secretome Product Derived From Cardiovascular Progenitor Cells Suitable for a Phase I Clinical Trial

doi: 10.1002/jev2.70145

Figure Lengend Snippet: GMP‐manufacturing process for an EV‐enriched secretome from CPC. (a) Schematic representation of the three main steps of the GMP‐manufacturing of the EV‐enriched secretome final product. (b) Overview of the QC strategy for the characterisation of CPC during the manufacturing process (in‐process monitoring) and of the final product. M/F, Male/Female. Image created with BioRender.com.

Article Snippet: Particle identity : To characterise the surface markers of particles in the EV‐enriched secretome preparations, the MACSPlex Exosome Kit (Miltenyi Biotec, #130‐108‐813) was used following the manufacturer's instructions.

Techniques:

FIGURE 4 Characterisation of the EV‐enriched secretome composition. (a) Total read distribution (%) of different small RNA biotypes in the final product. Small RNA sequencing results were mapped to the human genome to determine the percentage of each RNA biotype. Sequences corresponding to all micro‐RNA (miRNA) reads, ribosomal RNA (rRNA), non‐coding RNA (ncRNA), remaining reads, mature transfer RNA (mature tRNA), small nucleolar RNA (snoRNA), mature micro‐RNA (mature miRNA), primary transfer RNA (primary tRNA) and hairpin micro‐RNA (hairpin miRNA) were identified. Note that the sequencing method is not optimal for identifying long reads, including mRNA. (b) Transcriptomics. The graph represents the top 20 most abundant miRNA identified in the final product, given as a percentage of expression (%). (c) Protein quantity. The total quantity of protein (mg) was measured in spent media, CCM after clarification, retentate and final product, using a BC Assay Kit. (d) Proteomics results. The most abundant proteins identified in the final product and their relative abundance (mass percentages) are shown. COL6A1, collagen alpha‐1(VI) chain; ALDOA, fructose‐bisphosphate aldolase A; FSCN1, Fascin; C5, complement C5 ; FLNC, filamin‐C; COL5A1, collagen alpha‐1(V) chain; IGFBP7, insulin‐like growth factor‐binding protein 7; FLNB, filamin‐B; SPTAN1, spectrin alpha chain, non‐erythrocytic 1; ENO1, alpha‐enolase; LAMB1, laminin subunit beta‐1; MYH9, myosin‐9; FBN2, fibrillin‐2; DAG1, dystroglycan; ACTN4, alpha‐actinin‐4; VIM, vimentin; LAMA1, laminin subunit alpha‐1; A2M, alpha‐2‐macroglobulin; LAMA5, laminin subunit alpha‐5; HAPLN1, hyaluronan and proteoglycan link protein 1; COL2A1, collagen alpha‐1(II) chain; PROS1, vitamin K‐dependent protein S; FSTL1, follistatin‐related protein 1; FBLN2, fibulin‐2; AGRN, agrin; VCAN, versican core protein; FLNA, filamin‐A; MASP1, mannan‐binding lectin serine protease 1; CDH2, cadherin‐2; SPARC, SPARC; HSPG2, basement membrane‐specific heparan sulphate proteoglycan core protein; ALB, albumin; FN1, fibronectin. (e) Gene ontology enrichment analysis in terms of biological process, analysed using String Prot.

Journal: Journal of Extracellular Vesicles

Article Title: GMP‐Compliant Process for the Manufacturing of an Extracellular Vesicles‐Enriched Secretome Product Derived From Cardiovascular Progenitor Cells Suitable for a Phase I Clinical Trial

doi: 10.1002/jev2.70145

Figure Lengend Snippet: FIGURE 4 Characterisation of the EV‐enriched secretome composition. (a) Total read distribution (%) of different small RNA biotypes in the final product. Small RNA sequencing results were mapped to the human genome to determine the percentage of each RNA biotype. Sequences corresponding to all micro‐RNA (miRNA) reads, ribosomal RNA (rRNA), non‐coding RNA (ncRNA), remaining reads, mature transfer RNA (mature tRNA), small nucleolar RNA (snoRNA), mature micro‐RNA (mature miRNA), primary transfer RNA (primary tRNA) and hairpin micro‐RNA (hairpin miRNA) were identified. Note that the sequencing method is not optimal for identifying long reads, including mRNA. (b) Transcriptomics. The graph represents the top 20 most abundant miRNA identified in the final product, given as a percentage of expression (%). (c) Protein quantity. The total quantity of protein (mg) was measured in spent media, CCM after clarification, retentate and final product, using a BC Assay Kit. (d) Proteomics results. The most abundant proteins identified in the final product and their relative abundance (mass percentages) are shown. COL6A1, collagen alpha‐1(VI) chain; ALDOA, fructose‐bisphosphate aldolase A; FSCN1, Fascin; C5, complement C5 ; FLNC, filamin‐C; COL5A1, collagen alpha‐1(V) chain; IGFBP7, insulin‐like growth factor‐binding protein 7; FLNB, filamin‐B; SPTAN1, spectrin alpha chain, non‐erythrocytic 1; ENO1, alpha‐enolase; LAMB1, laminin subunit beta‐1; MYH9, myosin‐9; FBN2, fibrillin‐2; DAG1, dystroglycan; ACTN4, alpha‐actinin‐4; VIM, vimentin; LAMA1, laminin subunit alpha‐1; A2M, alpha‐2‐macroglobulin; LAMA5, laminin subunit alpha‐5; HAPLN1, hyaluronan and proteoglycan link protein 1; COL2A1, collagen alpha‐1(II) chain; PROS1, vitamin K‐dependent protein S; FSTL1, follistatin‐related protein 1; FBLN2, fibulin‐2; AGRN, agrin; VCAN, versican core protein; FLNA, filamin‐A; MASP1, mannan‐binding lectin serine protease 1; CDH2, cadherin‐2; SPARC, SPARC; HSPG2, basement membrane‐specific heparan sulphate proteoglycan core protein; ALB, albumin; FN1, fibronectin. (e) Gene ontology enrichment analysis in terms of biological process, analysed using String Prot.

Article Snippet: Particle identity : To characterise the surface markers of particles in the EV‐enriched secretome preparations, the MACSPlex Exosome Kit (Miltenyi Biotec, #130‐108‐813) was used following the manufacturer's instructions.

Techniques: RNA Sequencing, Sequencing, Expressing, Clarification Assay, Binding Assay, Membrane

Summary of the components and biological effects of the EV‐enriched secretome final product. (a) Some of the protein and molecular components identified in the final product. Image created with BioRender.com . (b) Summary of cell surface markers identified by the MACSPlex Exosome kit in the final product, which their known roles in biological processes. (c) Functional effects of the final product. Image created with BioRender.com .

Journal: Journal of Extracellular Vesicles

Article Title: GMP‐Compliant Process for the Manufacturing of an Extracellular Vesicles‐Enriched Secretome Product Derived From Cardiovascular Progenitor Cells Suitable for a Phase I Clinical Trial

doi: 10.1002/jev2.70145

Figure Lengend Snippet: Summary of the components and biological effects of the EV‐enriched secretome final product. (a) Some of the protein and molecular components identified in the final product. Image created with BioRender.com . (b) Summary of cell surface markers identified by the MACSPlex Exosome kit in the final product, which their known roles in biological processes. (c) Functional effects of the final product. Image created with BioRender.com .

Article Snippet: Particle identity : To characterise the surface markers of particles in the EV‐enriched secretome preparations, the MACSPlex Exosome Kit (Miltenyi Biotec, #130‐108‐813) was used following the manufacturer's instructions.

Techniques: Functional Assay

Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five secretome annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.

Journal: Journal of Proteome Research

Article Title: Automated Mag-Net Enrichment Unlocks Deep and Cost-Effective LC–MS Plasma Proteomics

doi: 10.1021/acs.jproteome.5c00420

Figure Lengend Snippet: Enriched and neat plasma proteins cluster into four main groups based on protein intensities. Cluster 1 contains proteins found in neat plasma and shared across all methods, while Cluster 2 consists of proteins identified in all five enrichment methods. Cluster 3 includes proteins with medium intensity, mostly detected in all methods except ENRICHiST and neat. Cluster 4 consists primarily of low-intensity proteins. Each cluster is enriched with distinct Gene Ontology terms, cellular localizations, and tissue associations. (A) Hierarchical clustering of proteins detected in at least 10% of all samples, based on log 2 intensity. (B) Enrichment analysis of proteins in each cluster with the PANTHER GO-Slim databases , for cellular components and biological processes. Results were first filtered to retain terms with over 2-fold enrichment and a minimum of ten proteins per term. The top five terms with the lowest FDR values were selected for each cluster. (C) Subcellular location of proteins in each cluster based on The Human Protein Atlas (HPA) annotations. Only the top 20 locations are shown. The inset highlights the top five secretome annotations among all identified proteins. (D) Number of proteins annotated as tissue-enriched in the HPA transcriptomics data set. The 20 tissues with the highest total count of tissue-enriched proteins are shown.

Article Snippet: The subcellular location of proteins, gene-level RNA expression data, single cell-type expression data, and the human secretome annotations were downloaded from the Human Protein Atlas (HPA, version 24.0, proteinatlas.org ).

Techniques: Clinical Proteomics, Transcriptomics

Biogenesis of secretome.

Journal: International Journal of Molecular Sciences

Article Title: The Hidden Power of the Secretome: Therapeutic Potential on Wound Healing and Cell-Free Regenerative Medicine—A Systematic Review

doi: 10.3390/ijms26051926

Figure Lengend Snippet: Biogenesis of secretome.

Article Snippet: S.Biomedics , Seoul, Seongdong-gu, Republic of Korea , CF-FECS-DF , Secretome from human dermal fibroblasts spheroids , Damaged skin , [ ] .

Techniques:

Main features of the selected articles. Trend of secretome studies from different mesenchymal stem cells (MSC) sources ( A ), and geographical distribution of research on using MSCs secretome in wound healing ( B ).

Journal: International Journal of Molecular Sciences

Article Title: The Hidden Power of the Secretome: Therapeutic Potential on Wound Healing and Cell-Free Regenerative Medicine—A Systematic Review

doi: 10.3390/ijms26051926

Figure Lengend Snippet: Main features of the selected articles. Trend of secretome studies from different mesenchymal stem cells (MSC) sources ( A ), and geographical distribution of research on using MSCs secretome in wound healing ( B ).

Article Snippet: S.Biomedics , Seoul, Seongdong-gu, Republic of Korea , CF-FECS-DF , Secretome from human dermal fibroblasts spheroids , Damaged skin , [ ] .

Techniques:

Xeno-free chemically defined media used for obtaining  secretome.

Journal: International Journal of Molecular Sciences

Article Title: The Hidden Power of the Secretome: Therapeutic Potential on Wound Healing and Cell-Free Regenerative Medicine—A Systematic Review

doi: 10.3390/ijms26051926

Figure Lengend Snippet: Xeno-free chemically defined media used for obtaining secretome.

Article Snippet: S.Biomedics , Seoul, Seongdong-gu, Republic of Korea , CF-FECS-DF , Secretome from human dermal fibroblasts spheroids , Damaged skin , [ ] .

Techniques: Recombinant

Current state of  secretome  use in practical applications (in vivo).

Journal: International Journal of Molecular Sciences

Article Title: The Hidden Power of the Secretome: Therapeutic Potential on Wound Healing and Cell-Free Regenerative Medicine—A Systematic Review

doi: 10.3390/ijms26051926

Figure Lengend Snippet: Current state of secretome use in practical applications (in vivo).

Article Snippet: S.Biomedics , Seoul, Seongdong-gu, Republic of Korea , CF-FECS-DF , Secretome from human dermal fibroblasts spheroids , Damaged skin , [ ] .

Techniques: In Vivo, Immunofluorescence, Injection, Migration, Transfection, Expressing, Enzyme-linked Immunosorbent Assay, TUNEL Assay, Staining, Immunohistochemistry, Control, Activation Assay

 Secretome  products available on the market for skin conditions.

Journal: International Journal of Molecular Sciences

Article Title: The Hidden Power of the Secretome: Therapeutic Potential on Wound Healing and Cell-Free Regenerative Medicine—A Systematic Review

doi: 10.3390/ijms26051926

Figure Lengend Snippet: Secretome products available on the market for skin conditions.

Article Snippet: S.Biomedics , Seoul, Seongdong-gu, Republic of Korea , CF-FECS-DF , Secretome from human dermal fibroblasts spheroids , Damaged skin , [ ] .

Techniques:

IL-23 enhances production of cytotoxic molecules and IL-10 by MAIT cells (A) Percentage of IL-23R positive cells in different immune cell populations was assessed by flow cytometry on freshly isolated PBMCs ( n = 11). (B and C) PBMC were activated with Tet for 6 days or left unstimulated (black). Sorted MAIT cells (CD3 + CD161 + Va7.2 + ) were re-stimulated with Tet in the absence (gray) or presence of IL-23 (red) or IL-12 (blue) for 24 h. Cytokine secretion in the supernatants was measured using Luminex technology ( n = 9). (B) Heatmap of measured cytokines. Dendograms on the top and left sides correspond to hierarchical clustering. (C) Boxplots (lines correspond to the first quartile, the median and the third quartile) representing the concentration of the indicated cytokines (adjusted p values, paired Wilcoxon test, Benjamini-Hochberg correction). (D) Single cell secretome of MAIT cells activated for 6 days with Tet in the presence or absence of IL-23 or IL-12 was assessed using Isolight technology. The heatmap represents the single-cell co-secretion patterns and their frequencies ( n = 4). The values for granzyme B are ∼15% for the Tet+IL-23 condition, and ∼17% for Tet+IL-12. See also <xref ref-type=Figure S1 and Tables S1 and . " width="100%" height="100%">

Journal: iScience

Article Title: IL-23 tunes inflammatory functions of human mucosal-associated invariant T cells

doi: 10.1016/j.isci.2025.111898

Figure Lengend Snippet: IL-23 enhances production of cytotoxic molecules and IL-10 by MAIT cells (A) Percentage of IL-23R positive cells in different immune cell populations was assessed by flow cytometry on freshly isolated PBMCs ( n = 11). (B and C) PBMC were activated with Tet for 6 days or left unstimulated (black). Sorted MAIT cells (CD3 + CD161 + Va7.2 + ) were re-stimulated with Tet in the absence (gray) or presence of IL-23 (red) or IL-12 (blue) for 24 h. Cytokine secretion in the supernatants was measured using Luminex technology ( n = 9). (B) Heatmap of measured cytokines. Dendograms on the top and left sides correspond to hierarchical clustering. (C) Boxplots (lines correspond to the first quartile, the median and the third quartile) representing the concentration of the indicated cytokines (adjusted p values, paired Wilcoxon test, Benjamini-Hochberg correction). (D) Single cell secretome of MAIT cells activated for 6 days with Tet in the presence or absence of IL-23 or IL-12 was assessed using Isolight technology. The heatmap represents the single-cell co-secretion patterns and their frequencies ( n = 4). The values for granzyme B are ∼15% for the Tet+IL-23 condition, and ∼17% for Tet+IL-12. See also Figure S1 and Tables S1 and .

Article Snippet: Single-Cell Secretome Human Inflammation Panel , Bruker , Cat#1003-8.

Techniques: Flow Cytometry, Isolation, Luminex, Concentration Assay

Journal: iScience

Article Title: IL-23 tunes inflammatory functions of human mucosal-associated invariant T cells

doi: 10.1016/j.isci.2025.111898

Figure Lengend Snippet:

Article Snippet: Single-Cell Secretome Human Inflammation Panel , Bruker , Cat#1003-8.

Techniques: Control, Recombinant, CRISPR, Negative Control, Software