 HEK293 Cells
"HEK293 Cells" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A cell line generated from human embryonic kidney cells that were transformed with human adenovirus type 5.
| Descriptor ID |
D057809
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| MeSH Number(s) |
A11.251.210.172.750 A11.436.334
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| Concept/Terms |
HEK293 Cells- HEK293 Cells
- Cell, HEK293
- Cells, HEK293
- HEK293 Cell
- 293T Cells
- 293T Cell
- Cell, 293T
- Cells, 293T
- HEK 293 Cells
- 293 Cell, HEK
- 293 Cells, HEK
- Cell, HEK 293
- Cells, HEK 293
- HEK 293 Cell
- Human Kidney Cell Line 293
- Human Embryonic Kidney Cell Line 293
- HEK 293 Cell Line
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Below are MeSH descriptors whose meaning is more general than "HEK293 Cells".
Below are MeSH descriptors whose meaning is more specific than "HEK293 Cells".
This graph shows the total number of publications written about "HEK293 Cells" by people in this website by year, and whether "HEK293 Cells" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2010 | 0 | 1 | 1 | | 2011 | 0 | 9 | 9 | | 2012 | 0 | 13 | 13 | | 2013 | 0 | 24 | 24 | | 2014 | 1 | 22 | 23 | | 2015 | 0 | 16 | 16 | | 2016 | 0 | 18 | 18 | | 2017 | 0 | 18 | 18 | | 2018 | 0 | 21 | 21 | | 2019 | 0 | 17 | 17 | | 2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "HEK293 Cells" by people in Profiles.
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Lim S, Khoo R, Peh KM, Teo J, Chang SC, Ng S, Beilhartz GL, Melnyk RA, Johannes CW, Brown CJ, Lane DP, Henry B, Partridge AW. bioPROTACs as versatile modulators of intracellular therapeutic targets including proliferating cell nuclear antigen (PCNA). Proc Natl Acad Sci U S A. 2020 03 17; 117(11):5791-5800.
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Tao P, Sun J, Wu Z, Wang S, Wang J, Li W, Pan H, Bai R, Zhang J, Wang Y, Lee PY, Ying W, Zhou Q, Hou J, Wang W, Sun B, Yang M, Liu D, Fang R, Han H, Yang Z, Huang X, Li H, Deuitch N, Zhang Y, Dissanayake D, Haude K, McWalter K, Roadhouse C, MacKenzie JJ, Laxer RM, Aksentijevich I, Yu X, Wang X, Yuan J, Zhou Q. A dominant autoinflammatory disease caused by non-cleavable variants of RIPK1. Nature. 2020 01; 577(7788):109-114.
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Lu Y, Zheng Y, Coyaud É, Zhang C, Selvabaskaran A, Yu Y, Xu Z, Weng X, Chen JS, Meng Y, Warner N, Cheng X, Liu Y, Yao B, Hu H, Xia Z, Muise AM, Klip A, Brumell JH, Girardin SE, Ying S, Fairn GD, Raught B, Sun Q, Neculai D. Palmitoylation of NOD1 and NOD2 is required for bacterial sensing. Science. 2019 10 25; 366(6464):460-467.
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D'Costa VM, Coyaud E, Boddy KC, Laurent EMN, St-Germain J, Li T, Grinstein S, Raught B, Brumell JH. BioID screen of Salmonella type 3 secreted effectors reveals host factors involved in vacuole positioning and stability during infection. Nat Microbiol. 2019 12; 4(12):2511-2522.
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Narula A, Ellis J, Taliaferro JM, Rissland OS. Coding regions affect mRNA stability in human cells. RNA. 2019 12; 25(12):1751-1764.
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Frendo-Cumbo S, Jaldin-Fincati JR, Coyaud E, Laurent EMN, Townsend LK, Tan JMJ, Xavier RJ, Pillon NJ, Raught B, Wright DC, Brumell JH, Klip A. Deficiency of the autophagy gene ATG16L1 induces insulin resistance through KLHL9/KLHL13/CUL3-mediated IRS1 degradation. J Biol Chem. 2019 11 01; 294(44):16172-16185.
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Musa J, Cidre-Aranaz F, Aynaud MM, Orth MF, Knott MML, Mirabeau O, Mazor G, Varon M, Hölting TLB, Grossetête S, Gartlgruber M, Surdez D, Gerke JS, Ohmura S, Marchetto A, Dallmayer M, Baldauf MC, Stein S, Sannino G, Li J, Romero-Pérez L, Westermann F, Hartmann W, Dirksen U, Gymrek M, Anderson ND, Shlien A, Rotblat B, Kirchner T, Delattre O, Grünewald TGP. Cooperation of cancer drivers with regulatory germline variants shapes clinical outcomes. Nat Commun. 2019 09 11; 10(1):4128.
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Chin S, Ramjeesingh M, Hung M, Ereño-Oreba J, Cui H, Laselva O, Julien JP, Bear CE. Cholesterol Interaction Directly Enhances Intrinsic Activity of the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR). Cells. 2019 07 31; 8(8).
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Guan S, Moran MF, Ma B. Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning. Mol Cell Proteomics. 2019 10; 18(10):2099-2107.
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Lu R, O'Rourke JJ, Sobinoff AP, Allen JAM, Nelson CB, Tomlinson CG, Lee M, Reddel RR, Deans AJ, Pickett HA. The FANCM-BLM-TOP3A-RMI complex suppresses alternative lengthening of telomeres (ALT). Nat Commun. 2019 05 28; 10(1):2252.
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