Evidence map›Paper›PMID 22895056›Full record

ArticleAutophagy2012

A novel image-based cytometry method for autophagy detection in living cells.

Leo Li-Ying Chan, Dee Shen, Alisha R Wilkinson, Wayne Patton, Ning Lai, Eric Chan, Dmitry Kuksin, Bo Lin, Jean Qiu

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

95 citing papers in PubMed, 169 citations in OpenAlex.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. mSphere · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Resistance to mutant KRASExperimental cell research · 2022
    Article
  19. Tight association of autophagy and cell cycle in leukemia cells.Cellular & molecular biology letters · 2022
    Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Leo Li-Ying ChanDepartment of Technology R&D, Nexcelom Bioscience, LLC, Lawrence, MA, USA. lchan@nexcelom.com
Dee Shen
Alisha R Wilkinson
Wayne Patton
Ning Lai
Eric Chan
Dmitry Kuksin
Bo Lin
Jean Qiu
Enzo Life Sciences (United States) · USMerrimack College · USFarmingdale State College · USInternational Medical Equipment Collaborative · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is an important cellular catabolic process that plays a variety of important roles, including maintenance of the amino acid pool during starvation, recycling of damaged proteins and organelles, and clearance of intracellular microbes. Currently employed autophagy detection methods include fluorescence microscopy, biochemical measurement, SDS-PAGE and western blotting, but they are time consuming, labor intensive, and require much experience for accurate interpretation. More recently, development of novel fluorescent probes have allowed the investigation of autophagy via standard flow cytometry. However, flow cytometers remain relatively expensive and require a considerable amount of maintenance. Previously, image-based cytometry has been shown to perform automated fluorescence-based cellular analysis comparable to flow cytometry. In this study, we developed a novel method using the Cellometer image-based cytometer in combination with Cyto-ID(®) Green dye for autophagy detection in live cells. The method is compared with flow cytometry by measuring macroautophagy in nutrient-starved Jurkat cells. Results demonstrate similar trends of autophagic response, but different magnitude of fluorescence signal increases, which may arise from different analysis approaches characteristic of the two instrument platforms. The possibility of using this method for drug discovery applications is also demonstrated through the measurement of dose-response kinetics upon induction of autophagy with rapamycin and tamoxifen. The described image-based cytometry/fluorescent dye method should serve as a useful addition to the current arsenal of techniques available in support of autophagy-based drug discovery relating to various pathological disorders.

Indexed as

AutophagyBiological AssayCell SurvivalDose-Response Relationship, DrugFlow CytometryFluorescent DyesHeLa CellsHumansImage CytometryJurkat CellsMicroscopy, FluorescenceReproducibility of ResultsSirolimusTamoxifenTime FactorsFluorescent DyesSirolimusTamoxifen

Identifiers

PMID22895056
PMCPMC3442883
OpenAlexW2062028090

What OpenQuestion holds

Textmetadata
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.