Erratum: Asparagine bioavailability governs metastasis in a model of breast cancer (Nature (2018) 554 (378-381) DOI: 10.1038/nature25465);Asparagine bioavailability governs metastasis in a model of breast cancer

Nature

Volumn 554, Issue 7692, 2018, Pages 378-381

  Knott, Simon R V ^a,b,c   Wagenblast, Elvin ^b,d,e   Khan, Showkhin ^b,f   Kim, Sun Y ^b   Soto, Mar ^b   Wagner, Michel ^g   Turgeon, Marc Olivier ^g   Fish, Lisa ^h,i,j   Erard, Nicolas ^a   Gable, Annika L ^b   MacEli, Ashley R ^b   DIckopf, Steffen ^b   Papachristou, Evangelia K ^a   D'Santos, Clive S ^a   Carey, Lisa A ^k   Wilkinson, John E ^l   Harrell, J Chuck ^m   Perou, Charles M ^k   Goodarzi, Hani ^h,i,j   Poulogiannis, George ^g,n   Hannon, Gregory J ^a,b,f   more..

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^c CEDARS SINAI MEDICAL CENTER   (United States)

^d PRINCESS MARGARET HOSPITAL   (Canada)

^e UNIVERSITY OF TORONTO   (Canada)

^f NEW YORK GENOME CENTER   (United States)

^g INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ UNIVERSITY OF CALIFORNIA   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^l UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^m VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

ⁿ IMPERIAL COLLEGE LONDON   (United Kingdom)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ASPARAGINE; ASPARTATE AMMONIA LIGASE; SHORT HAIRPIN RNA; ASPARAGINASE;

AMINO ACID; BIOAVAILABILITY; CANCER; CELL; GENE EXPRESSION; GENETIC ANALYSIS; HETEROGENEITY; TUMOR;

ARTICLE; BREAST CANCER; CANCER GROWTH; CANCER PROGNOSIS; CANCER RECURRENCE; DIET RESTRICTION; DIETARY INTAKE; DOWN REGULATION; EPITHELIAL MESENCHYMAL TRANSITION; GENE EXPRESSION; GENE EXPRESSION REGULATION; GENE KNOCKDOWN; HUMAN; IN VITRO STUDY; IN VIVO STUDY; LUNG METASTASIS; METASTASIS; METASTASIS POTENTIAL; NONHUMAN; PRIORITY JOURNAL; PROTEIN EXPRESSION; RECURRENCE FREE SURVIVAL; RNA INTERFERENCE; TUMOR GROWTH; TUMOR INVASION; UPREGULATION; ANIMAL; BIOAVAILABILITY; BREAST TUMOR; DEFICIENCY; DISEASE EXACERBATION; DISEASE MODEL; ENZYMOLOGY; FEMALE; GENETICS; LUNG TUMOR; MALE; METABOLISM; MOUSE; PATHOLOGY; PROGNOSIS; PROSTATE TUMOR; REPRODUCIBILITY; SECONDARY; TUMOR CELL LINE; VALIDATION STUDY;

ANIMALS; ASPARAGINASE; ASPARAGINE; ASPARTATE-AMMONIA LIGASE; BIOLOGICAL AVAILABILITY; BREAST NEOPLASMS; CELL LINE, TUMOR; DISEASE MODELS, ANIMAL; DISEASE PROGRESSION; EPITHELIAL-MESENCHYMAL TRANSITION; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MICE; NEOPLASM INVASIVENESS; NEOPLASM METASTASIS; PROGNOSIS; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; RNA INTERFERENCE;

EID: 85042156817     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature26162     Document Type: Erratum

References (24)

1. Wagenblast, E. et al. A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis. Nature 520, 358-362 (2015).
2. Miller, F. R., Miller, B. E. & Heppner, G. H. Characterization of metastatic heterogeneity among subpopulations of a single mouse mammary tumor: heterogeneity in phenotypic stability. Invasion Metastasis 3, 22-31 (1983).
3. Harrell, J. C. et al. Genomic analysis identifies unique signatures predictive of brain, lung, and liver relapse. Breast Cancer Res. Treat. 132, 523-535 (2012).
4. Knott, S. R. V. et al. A computational algorithm to predict shRNA potency. Mol. Cell 56, 796-807 (2014).
5. Zhang, J. et al. Asparagine plays a critical role in regulating cellular adaptation to glutamine depletion. Mol. Cell 56, 205-218 (2014).
6. Krall, A. S., Xu, S., Graeber, T. G., Braas, D. & Christofk, H. R. Asparagine promotes cancer cell proliferation through use as an amino acid exchange factor. Nat. Commun. 7, 11457 (2016).
7. Richards, N. G. & Schuster, S. M. Mechanistic issues in asparagine synthetase catalysis. Adv. Enzymol. 72, 145-198 (1998).
8. Richards, N. G. J. & Kilberg, M. S. Asparagine synthetase chemotherapy. Annu. Rev. Biochem. 75, 629-654 (2006).
9. Tallal, L. et al. E. coli l-asparaginase in the treatment of leukemia and solid tumors in 131 children. Cancer 25, 306-320 (1970).
10. Stams, W. A. G. et al. Asparagine synthetase expression is linked with l-asparaginase resistance in TEL-AML1-negative but not TEL-AML1-positive pediatric acute lymphoblastic leukemia. Blood 105, 4223-4225 (2005).
11. GTEx Consortium et al. Genetic effects on gene expression across human tissues. Nature 550, 204-213 (2017).
12. Loayza-Puch, F. et al. Tumour-specific proline vulnerability uncovered by differential ribosome codon reading. Nature 530, 490-494 (2016).
13. Taube, J. H. et al. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes. Proc. Natl Acad. Sci. USA 107, 15449-15454 (2010).
14. Gowen, B. G. et al. A forward genetic screen reveals novel independent regulators of ULBP1, an activating ligand for natural killer cells. eLife 4, 1876 (2015).
15. Al-Baghdadi, R. J. T. et al. Role of activating transcription factor 4 in the hepatic response to amino acid depletion by asparaginase. Sci. Rep. 7, 1272 (2017).
16. McEarchern, J. A. et al. Invasion and metastasis of a mammary tumor involves TGF-β signaling. Int. J. Cancer 91, 76-82 (2001).
17. Eden, E., Navon, R., Steinfeld, I., Lipson, D. & Yakhini, Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics 10, 48 (2009).
18. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357-359 (2012).
19. Anders, S., Pyl, P. T. & Huber, W. HTSeq - a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166-169 (2015).
20. Anders, S. & Huber, W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010).
21. Ruifrok, A. C. & Johnston, D. A. Quantification of histochemical staining by color deconvolution. Anal. Quant. Cytol. Histol. 23, 291-299 (2001).
22. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal 17, 10 (2011).
23. Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15-21 (2013).
24. Vizcaíno, et al. 2016 update of the PRIDE database and related tools. Nucleic Acids Res 44, D447-D456 (2016).