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References
45
[4]
HTSeq—a Python framework to work with high-throughput sequencing data

Simon Anders, Paul Theodor Pyl, Wolfgang Huber

Bioinformatics 10.1093/bioinformatics/btu638
[13]
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9

John G Doench, Nicolo Fusi, Meagan Sullender et al.

Nature Biotechnology 10.1038/nbt.3437
[22]
Asparagine promotes cancer cell proliferation through use as an amino acid exchange factor

Abigail S. Krall, Shili Xu, Thomas G. Graeber et al.

Nature Communications 10.1038/ncomms11457
[23]
The Sequence Alignment/Map format and SAMtools

Heng Li, Bob Handsaker, Alec Wysoker et al.

Bioinformatics 10.1093/bioinformatics/btp352
[24]
MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens

Wei Li, Han Xu, Tengfei Xiao et al.

Genome Biology 10.1186/s13059-014-0554-4
[25]
The landscape of cancer cell line metabolism

Haoxin Li, Shaoyang Ning, Mahmoud Ghandi et al.

Nature Medicine 10.1038/s41591-019-0404-8
[34]
Riccardi R "L‐asparaginase pharmacokinetics and asparagine levels in cerebrospinal fluid of rhesus monkeys and humans" Cancer Res (1981)
[35]
A gene expression database for the molecular pharmacology of cancer

Uwe Scherf, Douglas T. Ross, Mark Waltham et al.

Nature Genetics 10.1038/73439
[41]
TopHat: discovering splice junctions with RNA-Seq

Cole Trapnell, Lior Pachter, Steven L. Salzberg

Bioinformatics 10.1093/bioinformatics/btp120
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Details
Published
Sep 16, 2019
Vol/Issue
38(21)
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Authors
Funding
H2020 European Research Council Award: ERC‐PoC 665317
China Scholarship Council Award: 201503250056
Cite This Article
Jianhui Sun, Remco Nagel, Esther A Zaal, et al. (2019). SLC 1A3 contributes to L‐asparaginase resistance in solid tumors. The EMBO Journal, 38(21). https://doi.org/10.15252/embj.2019102147