Evidence map›Paper›PMID 27642004›Full record

ReviewMethods (San Diego, Calif.)2017

Imaging flow cytometry analysis of intracellular pathogens.

Viraga Haridas, Shahin Ranjbar, Ivan A Vorobjev, Anne E Goldfeld, Natasha S Barteneva

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

29 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Highly Efficient Calibration-Free Color Compensation Algorithm for Imaging Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Syndecan-4 Mediates the Cellular Entry of Adeno-Associated Virus 9.International journal of molecular sciences · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Contribution of Syndecans to the Cellular Entry of SARS-CoV-2.International journal of molecular sciences · 2021
    Article
  19. Eukaryotic Cell Capture by Amplified MagneticFrontiers in microbiology · 2021
    Article
  20. 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

5 authors at 3 institutions in 3 countries.

Viraga HaridasProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, United States; Department of Pediatrics, Harvard Medical School, United States.
Shahin RanjbarProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, United States; Department of Pediatrics, Harvard Medical School, United States.
Ivan A VorobjevSchool of Science and Technology, Nazarbayev University, Kazakhstan; A.N. Belozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Russia; Department of Cell Biology and Histology, M.V. Lomonosov Moscow State University, Russia.
Anne E GoldfeldProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, United States; Department of Pediatrics, Harvard Medical School, United States. Electronic address: Anne.Goldfeld@childrens.harvard.edu.
Natasha S BartenevaProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, United States; Department of Pediatrics, Harvard Medical School, United States; School of Science and Technology, Nazarbayev University, Kazakhstan. Electronic address: natasha.barteneva@childrens.harvard.edu.
Harvard University · USBoston Children's Hospital · USNazarbayev University · KZ

Funding

Immune control mechanisms of TB latency in the setting of HIV co-infectionR01AI117929 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI GOLDFELD, ANNE · 2016 to 2019
$1.8M
NIAID NIH HHS R01 AI117929
6 · The paper itself

Abstract

Imaging flow cytometry has been applied to address questions in infection biology, in particular, infections induced by intracellular pathogens. This methodology, which utilizes specialized analytic software makes it possible to analyze hundreds of quantified features for hundreds of thousands of individual cellular or subcellular events in a single experiment. Imaging flow cytometry analysis of host cell-pathogen interaction can thus quantitatively addresses a variety of biological questions related to intracellular infection, including cell counting, internalization score, and subcellular patterns of co-localization. Here, we provide an overview of recent achievements in the use of fluorescently labeled prokaryotic or eukaryotic pathogens in human cellular infections in analysis of host-pathogen interactions. Specifically, we give examples of Imagestream-based analysis of cell lines infected with Toxoplasma gondii or Mycobacterium tuberculosis. Furthermore, we illustrate the capabilities of imaging flow cytometry using a combination of standard IDEAS™ software and the more recently developed Feature Finder algorithm, which is capable of identifying statistically significant differences between researcher-defined image galleries. We argue that the combination of imaging flow cytometry with these software platforms provides a powerful new approach to understanding host control of intracellular pathogens.

Indexed as

Host-Pathogen InteractionsSoftwareAlgorithmsAntigens, DifferentiationFlow CytometryFluorescent DyesGene Expression RegulationGenes, ReporterHumansImage CytometryLuminescent ProteinsMycobacterium tuberculosisPhagocytosisRed Fluorescent ProteinRNA, Small InterferingStaining and LabelingAntigens, DifferentiationFluorescent Dyesleu-13 antigenLuminescent ProteinsRed Fluorescent ProteinRNA, Small InterferingCellular heterogeneityColocalizationFeature FinderFluorescent proteinImaging flow cytometryIntracellular pathogenMycobacteria tuberculosisPhagosome maturationRab5Rab7Toxoplasma gondii

Identifiers

PMID27642004
PMCPMC5857943
OpenAlexW2519404355

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.