TRANSPARENT REPORTING AND CENTRALIZING KNOWLEDGE
IN EXTRACELLULAR VESICLE RESEARCH
chevron_left
Search About Reviewers & editors My EV-TRACK
chevron_right
Search > Results

You searched for: EV190041 (EV-TRACK ID)

Showing 1 - 9 of 9

Results list Study Tree
Experiment number
  • If needed, multiple experiments were identified in a single publication based on differing sample types, separation protocols and/or vesicle types of interest.
Species
  • Species of origin of the EVs.
Separation protocol
  • Gives a short, non-chronological overview of the different steps of the separation protocol.
    • (d)(U)C = (differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Experiment number
  • Experiments differ in Sample origin
Details EV-TRACK ID Experiment nr. Species Sample type Separation protocol First author Year EV-METRIC
EV190041 1/9 Homo sapiens Blood plasma (d)(U)C
ExoSpin 		Sundar IK 2019 25%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
25% (56th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Non-smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoSpin
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 10,000 g and 50,000 g
Pelleting performed
No
Commercial kit
ExoSpin
Other
Name other separation method
ExoSpin
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
Rab5b/ TSG101/ Alix/ CD81
Not detected EV-associated proteins
Detected contaminants
Albumin
Not detected contaminants
GRP94/ Calreticulin
Characterization: RNA analysis
RNA analysis
Type
RNA sequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EV190041 2/9 Homo sapiens Blood plasma (d)(U)C
ExoSpin 		Sundar IK 2019 25%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
25% (56th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoSpin
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 10,000 g and 50,000 g
Pelleting performed
No
Commercial kit
ExoSpin
Other
Name other separation method
ExoSpin
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Antibody details provided?
No
Lysis buffer provided?
Yes
Detected EV-associated proteins
Rab5b/ TSG101/ Alix/ CD81
Not detected EV-associated proteins
Detected contaminants
Albumin
Not detected contaminants
GRP94/ Calreticulin
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EV190041 3/9 Homo sapiens Blood plasma (d)(U)C
ExoSpin 		Sundar IK 2019 25%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
25% (56th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
COPD
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoSpin
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 10,000 g and 50,000 g
Pelleting performed
No
Commercial kit
ExoSpin
Other
Name other separation method
ExoSpin
Characterization: Protein analysis
Protein Concentration Method
microBCA
Western Blot
Antibody details provided?
No
Lysis buffer provided?
Yes
Detected EV-associated proteins
Rab5b/ TSG101/ Alix/ CD81
Not detected EV-associated proteins
Detected contaminants
Albumin
Not detected contaminants
GRP94/ Calreticulin
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
Characterization: Particle analysis
NTA
Report type
Mean
Reported size (nm)
106.84
EV concentration
Yes
EV190041 7/9 Homo sapiens Blood plasma (d)(U)C
ExoQuick 		Sundar IK 2019 17%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
17% (46th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Non-smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
ExoQuick
Other
Name other separation method
ExoQuick
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EM
EM-type
Transmission-EM
Image type
Wide-field
EV190041 8/9 Homo sapiens Blood plasma (d)(U)C
ExoQuick 		Sundar IK 2019 17%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
17% (46th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
ExoQuick
Other
Name other separation method
ExoQuick
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EM
EM-type
Transmission-EM
Image type
Wide-field
EV190041 9/9 Homo sapiens Blood plasma (d)(U)C
ExoQuick 		Sundar IK 2019 17%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
17% (46th percentile of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
COPD
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
ExoQuick
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Between 800 g and 10,000 g
Pelleting performed
No
Commercial kit
ExoQuick
Other
Name other separation method
ExoQuick
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EM
EM-type
Transmission-EM
Image type
Wide-field
EV190041 4/9 Homo sapiens Blood plasma (d)(U)C
Norgen Biotek 		Sundar IK 2019 0%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
0% (median: 22% of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Non-smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
Norgen Biotek
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Pelleting performed
No
Commercial kit
Norgen Biotek
Other
Name other separation method
Norgen Biotek
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
Not detected EV-associated proteins
Detected contaminants
Not detected contaminants
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EV190041 5/9 Homo sapiens Blood plasma (d)(U)C
Norgen Biotek 		Sundar IK 2019 0%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
0% (median: 22% of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
Smokers
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
Norgen Biotek
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Pelleting performed
No
Commercial kit
Norgen Biotek
Other
Name other separation method
Norgen Biotek
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
Not detected EV-associated proteins
Detected contaminants
Not detected contaminants
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
EV190041 6/9 Homo sapiens Blood plasma (d)(U)C
Norgen Biotek 		Sundar IK 2019 0%

Study summary

Full title
Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.
All authors
Sundar IK, Li D, Rahman I
Journal
J Extracell Vesicles
Abstract
Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in (show more...)Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD. (hide)
EV-METRIC
0% (median: 22% of all experiments on the same sample type)
 Reported
 Not reported
 Not applicable
EV-enriched proteins
Protein analysis: analysis of three or more EV-enriched proteins
non EV-enriched protein
Protein analysis: assessment of a non-EV-enriched protein
qualitative and quantitative analysis
Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected.
electron microscopy images
Particle analysis: inclusion of a widefield and close-up electron microscopy image
density gradient
Separation method: density gradient, at least as validation of results attributed to EVs
EV density
Separation method: reporting of obtained EV density
ultracentrifugation specifics
Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps
antibody specifics
Protein analysis: antibody clone/reference number and dilution
lysate preparation
Protein analysis: lysis buffer composition
Study data
Sample type
Blood plasma
Sample origin
COPD
Focus vesicles
extracellular vesicle
Separation protocol
Separation protocol
  • Gives a short, non-chronological overview of the
    different steps of the separation protocol.
    • dUC = (Differential) (ultra)centrifugation
    • DG = density gradient
    • UF = ultrafiltration
    • SEC = size-exclusion chromatography
    • IAF = immuno-affinity capture
(d)(U)C
Norgen Biotek
Protein markers
EV: None
non-EV: None
Proteomics
no
Show all info
Study aim
Biomarker
Sample
Species
Homo sapiens
Sample Type
Blood plasma
Separation Method
(Differential) (ultra)centrifugation
dUC: centrifugation steps
Below or equal to 800 g
Pelleting performed
No
Commercial kit
Norgen Biotek
Other
Name other separation method
Norgen Biotek
Characterization: Protein analysis
None
Protein Concentration Method
Not determined
Western Blot
Antibody details provided?
No
Detected EV-associated proteins
Not detected EV-associated proteins
Detected contaminants
Not detected contaminants
Characterization: RNA analysis
RNA analysis
Type
RNAsequencing;Capillary electrophoresis (e.g. Bioanalyzer)
Database
Yes
Proteinase treatment
No
RNAse treatment
No
Characterization: Lipid analysis
No
1 - 9 of 9
  • CM = Commercial method
  • dUC = differential ultracentrifugation
  • DG = density gradient
  • UF = ultrafiltration
  • SEC = size-exclusion chromatography
EV-TRACK ID
EV190041
species
Homo
sapiens
sample type
Blood
plasma
condition
Non-smokers
Smokers
COPD
Non-smokers
Smokers
COPD
Non-smokers
Smokers
COPD
separation protocol
(d)(U)C
ExoSpin
(d)(U)C
ExoSpin
(d)(U)C
ExoSpin
(d)(U)C
ExoQuick
(d)(U)C
ExoQuick
(d)(U)C
ExoQuick
(d)(U)C
Norgen
Biotek
(d)(U)C
Norgen
Biotek
(d)(U)C
Norgen
Biotek
Exp. nr.
1
2
3
7
8
9
4
5
6
EV-METRIC %
25
25
25
17
17
17
0
0
0