Evidence map›Paper›PMID 33544111›Full record

ArticleNanoscale2021

A simple, high-throughput method of protein and label removal from extracellular vesicle samples.

Joshua A Welsh, Bryce Killingsworth, Julia Kepley, Tim Traynor, Kathy McKinnon, Jason Savage, Deven Appel, Kenneth Aldape, Kevin Camphausen, Jay A Berzofsky and 3 more

Abstract read
In one paragraph

Article in Nanoscale, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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  9. Review
  10. Article
  11. Article
  12. Article
  13. MPACell reports methods · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Joshua A WelshTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.ORCID http://orcid.org/0000-0002-1097-9756
Bryce KillingsworthTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.
Julia KepleyTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.
Tim TraynorTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.
Kathy McKinnonVaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jason SavageTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.
Deven AppelTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.
Kenneth AldapeLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Kevin CamphausenRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jay A BerzofskyVaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Alexander R IvanovBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA.
Ionita H GhiranDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6655-3298
Jennifer C JonesTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. joshua.welsh@nih.gov jennifer.jones2@nih.gov.ORCID http://orcid.org/0000-0002-9488-7719

Funding

Vaccine and immunotherapy strategies for cancer and viruses causing cancerZIASC004020 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI BERZOFSKY, JAY A · 2009 to 2025
$51.8M
CCR VB FACS COREZICBC010936 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MCKINNON, KATHERINE · 2009 to 2025
$10.9M
Development and use of nanoFACS for analysis and sorting of nanoparticlesZIABC011502 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2013 to 2025
$8.6M
Novel Combinations of Radiation and ImmunotherapyZIABC011503 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2013 to 2025
$5.3M
Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI DEL MONTE, FEDERICA, GHIRAN, IONITA CALIN · 2018 to 2022
$4.0M
Robust ultra-high sensitivity proteomic technologies for limited samplesR35GM136421 · NIGMS · NORTHEASTERN UNIVERSITY · PI Alexander R. Ivanov · 2020 to 2026
$3.4M
Impact of circadian rhythm in obtaining reference profiles of exRNAs in healthy iU01HL126497 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN · 2014 to 2018
$3.3M
Red Blood Cells shuttle beta amyloid between brain and heart: implications for the pathogenesis and the progression of Alzheimer's and CardiomyopathyR01HL156116 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DEL MONTE, FEDERICA, GHIRAN, IONITA CALIN · 2021 to 2024
$2.0M
Integrative, multi-parametric characterization of the EV surface protein and nucleic acid landscape by nano-flow and sorting cytometryUH3TR002881 · NCATS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN, JONES, JENNIFER · 2021 to 2022
$1.9M
Deep Proteomic Profiling of Rare CellsR01GM120272 · NIGMS · NORTHEASTERN UNIVERSITY · PI IVANOV, ALEXANDER R. · 2016 to 2019
$1.5M
Translational Nanobiology Approaches to Viral Diseases (HIV, HTLV, SARS-CoV2)ZIABC011942 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2020 to 2025
$909k
Integrative, multi-parametric characterization of the EV surface protein and nucleic acid landscape by nano-flow and sorting cytometryUG3TR002881 · NCATS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN, JONES, JENNIFER · 2019 to 2020
$816k
Intramural NIH HHS ZIA BC011502Intramural NIH HHS ZIA BC011503NCATS NIH HHS UG3 TR002881NCATS NIH HHS UH3 TR002881NCI NIH HHS R01 CA218500NHLBI NIH HHS R01 HL156116NHLBI NIH HHS U01 HL126497NIGMS NIH HHS R01 GM120272NIGMS NIH HHS R35 GM136421
6 · The paper itself

Abstract

Evidence continues to increase of the clinical utility extracellular vesicles (EVs) as translational biomarkers. While a wide variety of EV isolation and purification methods have been implemented, few techniques are high-throughput and scalable for removing excess fluorescent reagents (e.g. dyes, antibodies). EVs are too small to be recovered from routine cell-processing procedures, such as filtration or centrifugation. The lack of suitable methods for removing unbound labels, especially in optical assays, is a major roadblock to accurate EV phenotyping and utilization of EV assays in a translational or clinical setting. Therefore, we developed a method for using a multi-modal resin, referred to as EV-Clean, to remove unbound labels from EV samples, and we demonstrate improvement in flow cytometric EV analysis with the use of this EV-Clean method.

Indexed as

Extracellular VesiclesBiomarkersFlow CytometryProteinsProteomicsBiomarkersProteins

Identifiers

PMID33544111
PMCPMC7941347

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.