| Literature DB >> 22580450 |
Robin L Macintosh1, Paul Timpson, Jacqueline Thorburn, Kurt I Anderson, Andrew Thorburn, Kevin M Ryan.
Abstract
Autophagy is a membrane-trafficking process that delivers cytoplasmic constituents to lysosomes for degradation. It contributes to energy and organelle homeostasis and the preservation of proteome and genome integrity. Although a role in cancer is unquestionable, there are conflicting reports that autophagy can be both oncogenic and tumor suppressive, perhaps indicating that autophagy has different roles at different stages of tumor development. In this report, we address the role of autophagy in a critical stage of cancer progression-tumor cell invasion. Using a glioma cell line containing an inducible shRNA that targets the essential autophagy gene Atg12, we show that autophagy inhibition does not affect cell viability, proliferation or migration but significantly reduces cellular invasion in a 3D organotypic model. These data indicate that autophagy may play a critical role in the benign to malignant transition that is also central to the initiation of metastasis.Entities:
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Year: 2012 PMID: 22580450 PMCID: PMC3359125 DOI: 10.4161/cc.20424
Source DB: PubMed Journal: Cell Cycle ISSN: 1551-4005 Impact factor: 4.534

Figure 1. Atg12 knockdown inhibits basal autophagy and starvation induced autophagy. Where indicated GL261 shAtg12 cells (A) and NTC cells (B) were cultured with doxycycline for 72 h to induce shRNA expression. Cells were then starved for indicated time periods and the cell lysates analyzed by western blot. Where indicated, cells were incubated with lysosomal protease inhibitors E64d and pepstatin A for a total of 7 h including any starvation period. (C–E) Cells were infected with adenovirus containing GFP-LC3 and then starved for 6 h to induce autophagy. Representative images (cropped 60 × images) showing GFP-LC3 localization in shAtg12 cells cultured without (C) and with (D) doxycycline are shown. (E) Quantification of the number of cells containing GFP-LC3 puncta. Microscope images (60 × objective) were taken at random positions and the percentage of cells containing more than five GFP-LC3 puncta were counted. Scale bars are 10 μm. The graph shows the mean and standard deviations from four uncropped 60 × images per condition.

Figure 2. Cell viability and growth are unaffected by Atg12 knockdown. Cells were cultured in doxycycline for 9 d. (A) After 9 d the percentage of apoptotic cells (cells containing less than a G1 compliment of DNA) was measured by flow cytometry of permeablized cells stained with propidium iodide. (B) The total numbers of dead/necrotic cells were determined by incubating unfixed cells in propidium iodide without permeablisation and counting the stained (permeable/dead) cells by flow cytometry. (C) Total cell numbers over 9 d were monitored by counting trypsinized cells at 2, 5 and 9 d.

Figure 3. Cell migration velocity and persistence are unaffected by Atg12 knockdown. Migration of cells across a scratch wound was monitored by time-lapse microscopy and individual cells were tracked using Image J software. Average velocity (A) and persistence (B) are shown. Persistence was calculated as the Euclidean distance (distance in a straight line from start to finish) divided by the total accumulated distance. Error bars are the standard deviation from two independent experiments with three images per time point for each experiment.

Figure 4. Atg12 knockdown inhibits tumor cell invasion. (A–D) Hematoxylin and eosin-stained sections of GL261 cells on organotypic matrix. GL261 shAtg12 cells (A and B) and NTC cells (C and D) were seeded on to an organotypic matrix in the absence (A and C) or presence (B and D) of doxycycline. Images are shown of GL261 shAtg12 cells and NTC cells after 7 or 9 d of invasion respectively. (E and F) Quantification of invasion. The average number of invading shAtg12 cells (E) and NTC cells (F) in four representative Hematoxylin and eosin-stained images (10 × objective lens) were counted for 7 and 9 d of invasion. Scale bars are 200 μm and error bars are standard deviations from four different microscope images.