Literature DB >> 25728685

Quantifying autophagosomes and autolysosomes in cells using imaging flow cytometry.

Robin Rajan1, Magdalena Karbowniczek, Haley R Pugsley, Manoj K Sabnani, Aristotelis Astrinidis, Ninh M La-Beck.   

Abstract

Autophagy dysregulation has been implicated in numerous diseases and many therapeutic agents are known to modulate this pathway. Therefore, the ability to accurately monitor autophagy is critical to understanding its role in the pathogenesis and treatment of many diseases. Recently an imaging flow cytometry method measuring colocalization of microtubule associated protein 1B light chain 3 (LC3) and lysosomal signals via Bright Detail Similarity (BDS) was proposed which enabled evaluation of autophagic processing. However, since BDS only evaluates colocalization of LC3 and lysosomal signals, the number of autophagy organelles was not taken into account. We found that in cells classified as having Low BDS, there was a large degree of variability in accumulation of autophagosomes. Therefore, we developed a new approach wherein BDS was combined with number of LC3+ puncta, which enabled us to distinguish between cells having very few autophagy organelles versus cells with accumulation of autophagosomes or autolysosomes. Using this method, we were able to distinguish and quantify autophagosomes and autolysosomes in breast cancer cells cultured under basal conditions, with inhibition of autophagy using chloroquine, and with induction of autophagy using amino acid starvation. This technique yields additional insight into autophagy processing making it a useful supplement to current techniques.
© 2015 International Society for Advancement of Cytometry.

Entities:  

Keywords:  LAMP1; LC3; autolysosome; autophagosome; autophagy; imaging flow cytometry; spot count

Mesh:

Substances:

Year:  2015        PMID: 25728685     DOI: 10.1002/cyto.a.22652

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  5 in total

1.  Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry.

Authors:  Haley R Pugsley
Journal:  J Vis Exp       Date:  2017-07-21       Impact factor: 1.355

Review 2.  Assessing Autophagy in Mouse Models and Patients with Systemic Autoimmune Diseases.

Authors:  Fengjuan Wang; Baihui Li; Nicolas Schall; Maud Wilhelm; Sylviane Muller
Journal:  Cells       Date:  2017-06-28       Impact factor: 6.600

3.  Surgical procedures suppress autophagic flux in the kidney.

Authors:  Carolyn N Brown; Daniel Atwood; Deepak Pokhrel; Sara J Holditch; Christopher Altmann; Nataliya I Skrypnyk; Jennifer Bourne; Jelena Klawitter; Judith Blaine; Sarah Faubel; Andrew Thorburn; Charles L Edelstein
Journal:  Cell Death Dis       Date:  2021-03-05       Impact factor: 8.469

4.  Production, Characterisation and Testing of an Ovine Antitoxin against Ricin; Efficacy, Potency and Mechanisms of Action.

Authors:  Sarah J C Whitfield; Gareth D Griffiths; Dominic C Jenner; Robert J Gwyther; Fiona M Stahl; Lucy J Cork; Jane L Holley; A Christopher Green; Graeme C Clark
Journal:  Toxins (Basel)       Date:  2017-10-18       Impact factor: 4.546

5.  Impairment of Proteasome and Autophagy Underlying the Pathogenesis of Leukodystrophy.

Authors:  Dar-Shong Lin; Che-Sheng Ho; Yu-Wen Huang; Tsu-Yen Wu; Tsung-Han Lee; Zo-Darr Huang; Tuan-Jen Wang; Shun-Jie Yang; Ming-Fu Chiang
Journal:  Cells       Date:  2020-05-01       Impact factor: 6.600

  5 in total

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