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. 2020 Mar 3;2020:10.17912/micropub.biology.000223. doi: 10.17912/micropub.biology.000223

Oncogenic Ras cooperates with knockdown of the tumor suppressor Lkb1 by RNAi to override organ size limits in Drosophila wing tissue

Briana Brown Rackley 1, Evan Kiely 1, Chang-Soo Seong 1, Manali Rupji 2, Melissa Gilbert-Ross 1,§
Reviewed by: Steven Marygold, Anonymous
PMCID: PMC7252341  PMID: 32550498

Figure 1.

Figure 1

Co-expression of RasV12/Lkb1RNAi in the MS1096-Gal4 expression domain overrides organ size control. Quantification of 3rd instar larval wing-imaginal disc total volume (A) and representative confocal images of wing imaginal discs expressing the indicated transgenes and GFP (green) in the MS1096-Gal4 expression domain (B). DAPI (blue) labels cell nuclei. Quantification of GFP-negative volume (non-autonomous) (C), and GFP-positive volume (autonomous) (D) from the indicated genotypes. (E) Confocal images of 3rd instar larval wing-imaginal discs carrying GFP-labeled wing pouch tissue labeled with BrdU. Top panel is a representative image of the IMARIS spot analysis used for quantification of BrdU positive cells. Bottom panel is actual immunofluorescence image of BrdU labeling (in red). Total number of autonomous and non-autonomous BrdU labeled cells are quantified in (F). (G) Confocal images of 3rd instar larval wing-imaginal discs carrying GFP-labeled wing pouch tissue stained with an antibody to Death Caspase-1 (DCP-1). Top panel is a representative image of the IMARIS spot analysis used for quantification of DCP-1 positive cells. Bottom panel is actual immunofluorescence image of DCP-1 staining (in red). Total number of autonomous and non- autonomous DCP-1 stained cells are quantified in (H). Images are representative of 5-10 wing-imaginal discs per genotype. Scale bar, 100µm. Control = MS1096-Gal4,w1118. For graphs in (A), (C), and (D), bars represent mean volumes from 3-5 independent wing-imaginal discs per genotype and error bars represent standard deviation. Ordinary one-way ANOVA was conducted with significance assigned to P values<0.1. (A) p=0.0030 (C) p=0.0896 (D) p=0.0004. P-values between groups were compared with post-test. *p<0.1, **p<0.01, ***p<0.001. In (F) and (H) bars represent means from 2 independent wing-imaginal discs per genotype and error bars represent standard deviation. Significance was not analyzed due to sample size.

Description

KRAS is the most frequently mutated oncogene in human cancer, particularly in cancers with a high mortality rate such as pancreatic, colorectal, and non-small cell lung cancer (NSCLC) (Ryan and Corcoran, 2018). While effective therapies directly targeting KRAS-mutant tumors have yet to be fully validated, recent clinical trials show positive progress for patients with the KRAS(G12C) mutation (Canon et al. 2019). Moreover, sequencing data has allowed for better understanding of how secondary mutations synergize with oncogenic KRAS to drive tumor progression. For example, activating mutations in KRAS frequently occur with loss-of-function mutations in the gene STK11, which encodes the tumor suppressor liver kinase B1 (LKB1), resulting in decreased patient survival, de novo resistance to targeted treatments and immunotherapies, and increased likelihood of tumor recurrence (Cancer Genome Atlas Research Network 2014, Skoulidis et al. 2018, Caiola et al. 2018). Additionally, previous work from genetically engineered mouse models (GEMMs) suggests loss of Lkb1 is sufficient to promote the progression and metastasis of nascent Kras-driven lung adenocarcinoma (Ji et al. 2007). Therefore, we sought to determine whether knockdown of Lkb1 by RNAi could cooperate with activating mutations in Ras to drive tissue overgrowth in wing imaginal discs of the genetically tractable model organism Drosophila melanogaster.

To address this question, we obtained transgenic Drosophila expressing oncogenic RasV12, which on its own causes hyperplastic growth balanced by non-autonomous cell death in imaginal tissues (Karim and Rubin 1998). To knockdown Lkb1 we obtained an RNAi fly stock (Lkb1RNAi) developed by the Transgenic RNAi Project (TRiP) (Dietzl et al. 2007) and validated through the Harvard Medical School RNAi Stock Validation and Phenotypes (RSVP) resource (Perkins et al. 2015). Of note, the Lkb1RNAi stock was determined to have approximately 68% knockdown efficiency when used with the MTD-Gal4 driver (Sopko et al. 2014). Additional validation using the Updated Targets of RNAi Reagents (UP-TORR) Fly resource confirmed no off-target effects with this RNAi sequence (Hu et al. 2013). We generated a combined RasV12/Lkb1RNAifly line, and crossed our double mutant (along with single transgenes as controls) to the MS1096-Gal4, UAS-GFP wing pouch driver. In order to precisely measure effects on overall organ size, we used confocal microscopy to acquire z-sections through the entire wing disc, followed by 3D reconstruction and volume measurements using IMARIS software. We determined that total wing disc volume was significantly larger in MS1096-Gal4; RasV12/Lkb1RNAitissues compared to control genotypes. (A-B). Previous investigations have shown that Lkb1 can exert a non-autonomous role in tumor suppression (Katajisto et al. 2008; Tanwar et al. 2012; Ollila et al. 2018). Therefore, we investigated whether the increase in organ size was due to autonomous vs. non-autonomous effects on growth. To do this we measured individual volumes of GFP-positive and GFP-negative tissue across genotypes. Expression of RasV12/Lkb1RNAi led to significant autonomous overgrowth in the GFP-positive MS1096 expression domain, while the GFP-negative (non-autonomous) tissue compartment remained unchanged (C-D).

Changes in organ size control can result from any number of combinations of cell growth, proliferation, and cell death phenotypes. To investigate the compartmental effects on cell proliferation and cell death in RasV12/Lkb1RNAi tissues, we used the MS1096-Gal4 driver to express Lkb1RNAi, RasV12, or RasV12/Lkb1RNAi in developing wing pouches. Tissues were either labeled with BrdU or an anti-Death Caspase-1 (DCP-1) antibody (E-F, G-H). Knockdown of Lkb1 alone resulted in no change in the absolute levels of BrdU or DCP-1 relative to control discs (F, H). Expression of RasV12 alone resulted in a mild increase in the amount of autonomous BrdU and non-autonomous DCP-1 (F, H). Alternatively, co-expression of RasV12/Lkb1RNAi led to a dramatic shift in cellular phenotypes with a large increase in autonomous and non- autonomous BrdU – and a rescue of the non-autonomous cell death observed in cells expressing RasV12alone. Therefore, knockdown of Lkb1 in the context of oncogenic Ras in the Drosophila wing pouch can exert both non-autonomous and autonomous effects that override organ size control. Future studies will focus on the signaling pathways responsible for both phenotypes which could represent novel, targetable pathways for the thousands of cancer patients in the U.S. with LKB1 mutations.

Methods

Immunostaining and Confocal Microscopy. 3rd instar larval wing-imaginal discs were dissected in 1X phosphate- buffered saline (PBS) and fixed in 4% paraformaldehyde for 30 minutes on ice. Discs were then washed three times for 10 minutes each in ice cold 1X PBS, permeabilized in 0.3% Triton X100/1X PBS (PBST) for 20 minutes at RT, and washed again three times for 10 minutes each before blocking in 10% normal goat serum in 0.1% PBST for 30 minutes at RT. Discs were incubated in primary antibodies (4°C overnight) in 10% normal goat serum (NGS)/0.1% PBST. The following day, discs were washed three times for five minutes each in 0.1% PBST before incubating in secondary antibodies (in the dark at RT for one hour) in 10% NGS/0.1% PBST. Finally, discs were washed three times for 10 minutes each in 1X PBS at RT and mounted using VectaShield anti-fade mounting medium. Fluorescent secondary antibody was from Jackson ImmunoResearch. Fluorescent images were taken on a Leica MZ10F (× 1 0.08899 NA) or Leica TCS SP8 inverted confocal microscope (× 10 air HC PL Fluotar, 0.3 NA, × 20 air HC PL APO, 0.75 NA, or × 40 oil HC PL APO, 1.30 NA) using 0.5 μm z-stack intervals and sequential scanning (405 nm DMOD Flexible, 488 nm argon, 514 nm argon).

BrdU Labeling. 3rd instar larval wing-imaginal discs were dissected in Grace’s Insect Medium (ThermoFisher) then transferred into Grace’s Insect Medium containing 0.25mg/ml BrdU (Invitrogen B23151) and incubated at 25°C for 90 minutes. Discs were then washed in Grace’s Insect Medium for five minutes on ice followed by washing two times for five minutes each in 1X PBS on ice. Discs were fixed overnight (wrapped in foil) in 1% paraformaldehyde/0.05%

Tween 20. The following day discs were washed three times for five minutes each in 1X PBS and permeabilized for 20 minutes at RT in 0.3% PBST. To remove detergent, discs were washed five times for five minutes each in 1X PBS and DNAse treated for 30 minutes at 37°C. Discs were then washed three times for 10 minutes each in 0.1% PBST and incubated overnight at 4°C in primary antibody. The next day, discs were washed 5 times for a total of 30 minutes with 0.1% PBST and incubated overnight in secondary antibody from Cell Signaling. Finally, discs were washed three times for 10 minutes each in 0.1% PBST and mounted in VectaShield anti-fade mounting medium.

Image Processing and Quantification. IMARIS microscopy image analysis software was used for all image processing and quantification. After file conversion into IMARIS, minimum and maximum intensity values were established for each channel and maintained across genotypes. Based on these values, regions of interest, termed “masks”, were created for DAPI and GFP channels. These masks were used to determine total volume, GFP-positive volume, and GFP-negative volume. The “Spot” feature was used to correctly identify cells labeled with BrdU or stained with DCP-1. Spot size was constrained to 2.5 and spot quality was restricted to greater than 7.07 for all genotypes. Autonomous BrdU incorporation and DCP-1 staining was calculated by taking the number of “spots” occurring within the GFP-marked “mask”. Values were then graphed and statistically analyzed using Prism GraphPad 8. Ordinary one-way ANOVA with a Tukey’s multiple comparisons test was conducted with significance assigned to P values ≤ 0.1.

Reagents

The following Drosophila stocks were used:

P{UAS-Ras85D.V12} (UAS-RasV12) – BDSC 64196

y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]= TRiP.HMS01351}attP2 (UASLkb1RNAi) – BDSC 34362

w1118– BDSC 3605 (gift from K. Moberg – Emory University)

MS1096-Gal4, UAS-GFP (Derived fromBDSC 8860)(gift from K. Moberg – Emory University)

The following antibodies were used:

rabbit anti-cleaved Drosophila DCP-1 (Asp216) (Cell Signaling, 1:100)

mouse anti-BrdU primary antibody (B44) (BD, 1:50)

goat anti-rabbit Cy3 AffiniPure secondary antibody (Jackson ImmunoResearch 1:400)

goat anti-mouse F(ab)’2 AlexaFluor-555 secondary antibody (Cell Signaling, 1:500)

Acknowledgments

Acknowledgments

Research reported in this publication was supported in part by the Emory University Integrated Cellular Imaging Microscopy Core of the Winship Cancer Institute of Emory University and NIH/NCI under award number, 2P30CA138292-04. The content is solely the responsibility of the authors and does not necessarily reflect the official views of the National Institute of Health. Thank you to K. Moberg for gifts of fly stocks, reagents, and equipment. We acknowledge the Bloomington Drosophila Stock Center, TRiP at Harvard Medical School (NIH/NIGMS R01-GM084947) and the Developmental Studies Hybridoma Bank (DSHB) for providing fly stocks and antibodies. We thank members of the A. Marcus, W. Zhou, K. Moberg, and R. Read laboratories for helpful comments, discussion, and teaching of techniques.

Funding

This work was supported by National Institutes of Health grant 1R01CA201340 to MGR.

References

  1. Caiola E, Falcetta F, Giordano S, Marabese M, Garassino MC, Broggini M, Pastorelli R, Brunelli L. Co-occurring KRAS mutation/LKB1 loss in non-small cell lung cancer cells results in enhanced metabolic activity susceptible to caloric restriction: an in vitro integrated multilevel approach. J Exp Clin Cancer Res. 2018 Dec 01;37(1):302–302. doi: 10.1186/s13046-018-0954-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014 Jul 01;511(7511):543–550. doi: 10.1038/nature13385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Canon J, Rex K, Saiki AY, Mohr C, Cooke K, Bagal D, Gaida K, Holt T, Knutson CG, Koppada N, Lanman BA, Werner J, Rapaport AS, San Miguel T, Ortiz R, Osgood T, Sun JR, Zhu X, McCarter JD, Volak LP, Houk BE, Fakih MG, O'Neil BH, Price TJ, Falchook GS, Desai J, Kuo J, Govindan R, Hong DS, Ouyang W, Henary H, Arvedson T, Cee VJ, Lipford JR. The clinical KRAS(G12C) inhibitor AMG 510 drives anti-tumour immunity. Nature. 2019 Oct 30;575(7781):217–223. doi: 10.1038/s41586-019-1694-1. [DOI] [PubMed] [Google Scholar]
  4. Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, Fellner M, Gasser B, Kinsey K, Oppel S, Scheiblauer S, Couto A, Marra V, Keleman K, Dickson BJ. A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature. 2007 Jul 12;448(7150):151–156. doi: 10.1038/nature05954. [DOI] [PubMed] [Google Scholar]
  5. Hu Y, Roesel C, Flockhart I, Perkins L, Perrimon N, Mohr SE. UP-TORR: online tool for accurate and Up-to-Date annotation of RNAi Reagents. Genetics. 2013 Jun 21;195(1):37–45. doi: 10.1534/genetics.113.151340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Ji H, Ramsey MR, Hayes DN, Fan C, McNamara K, Kozlowski P, Torrice C, Wu MC, Shimamura T, Perera SA, Liang MC, Cai D, Naumov GN, Bao L, Contreras CM, Li D, Chen L, Krishnamurthy J, Koivunen J, Chirieac LR, Padera RF, Bronson RT, Lindeman NI, Christiani DC, Lin X, Shapiro GI, Jänne PA, Johnson BE, Meyerson M, Kwiatkowski DJ, Castrillon DH, Bardeesy N, Sharpless NE, Wong KK. LKB1 modulates lung cancer differentiation and metastasis. Nature. 2007 Aug 01;448(7155):807–810. doi: 10.1038/nature06030. [DOI] [PubMed] [Google Scholar]
  7. Karim FD, Rubin GM. Ectopic expression of activated Ras1 induces hyperplastic growth and increased cell death in Drosophila imaginal tissues. Development. 1998 Jan 01;125(1):1–9. doi: 10.1242/dev.125.1.1. [DOI] [PubMed] [Google Scholar]
  8. Katajisto P, Vaahtomeri K, Ekman N, Ventelä E, Ristimäki A, Bardeesy N, Feil R, DePinho RA, Mäkelä TP. LKB1 signaling in mesenchymal cells required for suppression of gastrointestinal polyposis. Nat Genet. 2008 Mar 01;40(4):455–459. doi: 10.1038/ng.98. [DOI] [PubMed] [Google Scholar]
  9. Ollila S, Domènech-Moreno E, Laajanen K, Wong IP, Tripathi S, Pentinmikko N, Gao Y, Yan Y, Niemelä EH, Wang TC, Viollet B, Leone G, Katajisto P, Vaahtomeri K, Mäkelä TP. Stromal Lkb1 deficiency leads to gastrointestinal tumorigenesis involving the IL-11-JAK/STAT3 pathway. J Clin Invest. 2017 Dec 01;128(1):402–414. doi: 10.1172/JCI93597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Perkins LA, Holderbaum L, Tao R, Hu Y, Sopko R, McCall K, Yang-Zhou D, Flockhart I, Binari R, Shim HS, Miller A, Housden A, Foos M, Randkelv S, Kelley C, Namgyal P, Villalta C, Liu LP, Jiang X, Huan-Huan Q, Wang X, Fujiyama A, Toyoda A, Ayers K, Blum A, Czech B, Neumuller R, Yan D, Cavallaro A, Hibbard K, Hall D, Cooley L, Hannon GJ, Lehmann R, Parks A, Mohr SE, Ueda R, Kondo S, Ni JQ, Perrimon N. The Transgenic RNAi Project at Harvard Medical School: Resources and Validation. Genetics. 2015 Aug 28;201(3):843–852. doi: 10.1534/genetics.115.180208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Ryan MB, Corcoran RB. Therapeutic strategies to target RAS-mutant cancers. Nat Rev Clin Oncol. 2018 Nov 01;15(11):709–720. doi: 10.1038/s41571-018-0105-0. [DOI] [PubMed] [Google Scholar]
  12. Skoulidis F, Goldberg ME, Greenawalt DM, Hellmann MD, Awad MM, Gainor JF, Schrock AB, Hartmaier RJ, Trabucco SE, Gay L, Ali SM, Elvin JA, Singal G, Ross JS, Fabrizio D, Szabo PM, Chang H, Sasson A, Srinivasan S, Kirov S, Szustakowski J, Vitazka P, Edwards R, Bufill JA, Sharma N, Ou SI, Peled N, Spigel DR, Rizvi H, Aguilar EJ, Carter BW, Erasmus J, Halpenny DF, Plodkowski AJ, Long NM, Nishino M, Denning WL, Galan-Cobo A, Hamdi H, Hirz T, Tong P, Wang J, Rodriguez-Canales J, Villalobos PA, Parra ER, Kalhor N, Sholl LM, Sauter JL, Jungbluth AA, Mino-Kenudson M, Azimi R, Elamin YY, Zhang J, Leonardi GC, Jiang F, Wong KK, Lee JJ, Papadimitrakopoulou VA, Wistuba II, Miller VA, Frampton GM, Wolchok JD, Shaw AT, Jänne PA, Stephens PJ, Rudin CM, Geese WJ, Albacker LA, Heymach JV. STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov. 2018 May 17;8(7):822–835. doi: 10.1158/2159-8290.CD-18-0099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Sopko R, Foos M, Vinayagam A, Zhai B, Binari R, Hu Y, Randklev S, Perkins LA, Gygi SP, Perrimon N. Combining genetic perturbations and proteomics to examine kinase-phosphatase networks in Drosophila embryos. Dev Cell. 2014 Oct 01;31(1):114–127. doi: 10.1016/j.devcel.2014.07.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Tanwar PS, Kaneko-Tarui T, Zhang L, Tanaka Y, Crum CP, Teixeira JM. Stromal liver kinase B1 [STK11] signaling loss induces oviductal adenomas and endometrial cancer by activating mammalian Target of Rapamycin Complex 1. PLoS Genet. 2012 Aug 16;8(8):e1002906–e1002906. doi: 10.1371/journal.pgen.1002906. [DOI] [PMC free article] [PubMed] [Google Scholar]

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