Advertisement

Stimulating and suppressing HIFs

Cells respond and adapt to hypoxia (low oxygen) in part by activating the α subunits of the HIF family of transcription factors. Daly et al. performed proteomics analysis of transfected cells to explore the protein modifications and binding partners for full-length versions of the hypoxia-response subunits HIF-1α and HIF-2α. Their findings, which included a phosphorylated cysteine, protein stability effects, and interactions with mitochondrial proteins, indicate that the oxygen-dependent regulation of HIF activity is more extensive and complex than was previously appreciated. This dataset will help to delineate the selective regulation and signaling mechanisms of these closely related isoforms in fine-tuning the cellular response to hypoxia.

Abstract

Cellular adaptation to low-oxygen environments is mediated in part by the hypoxia-inducible factors (HIFs). Like other transcription factors, the stability and transcriptional activity of HIFs—and consequently, the hypoxic response—are regulated by post-translational modifications (PTMs) and changes in protein-protein interactions. Our current understanding of PTM-mediated regulation of HIFs is primarily based on in vitro protein fragment–based studies typically validated in fragment-expressing cells treated with hypoxia-mimicking compounds. Here, we used immunoprecipitation-based mass spectrometry to characterize the PTMs and binding partners for full-length HIF-1α and HIF-2α under normoxic (21% oxygen) and hypoxic (1% oxygen) conditions. Hypoxia substantially altered the complexity and composition of the HIFα protein interaction networks, particularly for HIF-2α, with the hypoxic networks of both isoforms being enriched for mitochondrial proteins. Moreover, both HIFα isoforms were heavily covalently modified. We identified ~40 PTM sites composed of 13 different types of modification on both HIFα isoforms, including multiple cysteine modifications and an unusual phosphocysteine. More than 80% of the PTMs identified were not previously known and about half exhibited oxygen dependency. We further characterized an evolutionarily conserved phosphorylation of Ser31 in HIF-1α as a regulator of its transcriptional function, and we propose functional roles for Thr406, Thr528, and Ser581 in HIF-2α. These data will help to delineate the different physiological roles of these closely related isoforms in fine-tuning the hypoxic response.

Get full access to this article

View all available purchase options and get full access to this article.

Supplementary Material

Summary

Figs. S1 to S6
Tables S1 to S9
Data files S1 and S2

Resources

File (abf6685_sm.pdf)
File (abf6685_table_s1.xlsx)
File (abf6685_table_s2.xlsx)
File (abf6685_table_s3.xlsx)
File (abf6685_table_s4.xlsx)
File (abf6685_table_s5.xlsx)
File (abf6685_table_s6.xlsx)
File (abf6685_table_s7.xlsx)
File (abf6685_table_s8.xlsx)
File (abf6685_table_s9.xlsx)
File (scisignal.abf6685_data_files_s1_and_s2.zip)
File (scisignal.abf6685_sm.pdf)
File (scisignal.abf6685_tables_s1_to_s9.zip)

REFERENCES AND NOTES

1
G. L. Wang, G. L. Semenza, Purification and characterization of hypoxia-inducible factor 1. J. Biol. Chem. 270, 1230–1237 (1995).
2
H. Tian, S. L. McKnight, D. W. Russell, Endothelial PAS domain protein 1 (EPAS1), a transcription factor selectively expressed in endothelial cells. Genes Dev. 11, 72–82 (1997).
3
M. Ivan, K. Kondo, H. Yang, W. Kim, J. Valiando, M. Ohh, A. Salic, J. M. Asara, W. S. Lane, W. G. Kaelin Jr., HIFα targeted for VHL-mediated destruction by proline hydroxylation: Implications for O2 sensing. Science 292, 464–468 (2001).
4
P. Jaakkola, D. R. Mole, Y. M. Tian, M. I. Wilson, J. Gielbert, S. J. Gaskell, A. von Kriegsheim, H. F. Hebestreit, M. Mukherji, C. J. Schofield, P. H. Maxwell, C. W. Pugh, P. J. Ratcliffe, Targeting of HIF-α to the von Hippel-Lindau ubiquitylation complex by O2-regulated prolyl hydroxylation. Science 292, 468–472 (2001).
5
N. Masson, C. Willam, P. H. Maxwell, C. W. Pugh, P. J. Ratcliffe, Independent function of two destruction domains in hypoxia-inducible factor-α chains activated by prolyl hydroxylation. EMBO J. 20, 5197–5206 (2001).
6
D. Lando, D. J. Peet, J. J. Gorman, D. A. Whelan, M. L. Whitelaw, R. K. Bruick, FIH-1 is an asparaginyl hydroxylase enzyme that regulates the transcriptional activity of hypoxia-inducible factor. Genes Dev. 16, 1466–1471 (2002).
7
D. Lando, D. J. Peet, D. A. Whelan, J. J. Gorman, M. L. Whitelaw, Asparagine hydroxylation of the HIF transactivation domain a hypoxic switch. Science 295, 858–861 (2002).
8
C. P. Bracken, A. O. Fedele, S. Linke, W. Balrak, K. Lisy, M. L. Whitelaw, D. J. Peet, Cell-specific regulation of hypoxia-inducible factor (HIF)-1α and HIF-2α stabilization and transactivation in a graded oxygen environment. J. Biol. Chem. 281, 22575–22585 (2006).
9
D. R. Mole, C. Blancher, R. R. Copley, P. J. Pollard, J. M. Gleadle, J. Ragoussis, P. J. Ratcliffe, Genome-wide association of hypoxia-inducible factor (HIF)-1α and HIF-2α DNA binding with expression profiling of hypoxia-inducible transcripts. J. Biol. Chem. 284, 16767–16775 (2009).
10
S. E. Taylor, J. Bagnall, D. Mason, R. Levy, D. G. Fernig, V. See, Differential sub-nuclear distribution of hypoxia-inducible factors (HIF)-1 and −2 α impacts on their stability and mobility. Open Biol. 6, 160195 (2016).
11
J. A. Smythies, M. Sun, N. Masson, R. Salama, P. D. Simpson, E. Murray, V. Neumann, M. E. Cockman, H. Choudhry, P. J. Ratcliffe, D. R. Mole, Inherent DNA-binding specificities of the HIF-1α and HIF-2α transcription factors in chromatin. EMBO Rep. 20, e46401 (2019).
12
S. P. Lees-Miller, K. Sakaguchi, S. J. Ullrich, E. Appella, C. W. Anderson, Human DNA-activated protein kinase phosphorylates serines 15 and 37 in the amino-terminal transactivation domain of human p53. Mol. Cell. Biol. 12, 5041–5049 (1992).
13
K. Noguchi, C. Kitanaka, H. Yamana, A. Kokubu, T. Mochizuki, Y. Kuchino, Regulation of c-Myc through phosphorylation at Ser-62 and Ser-71 by c-Jun N-terminal kinase. J. Biol. Chem. 274, 32580–32587 (1999).
14
F. Lanucara, C. Lam, J. Mann, T. P. Monie, S. A. P. Colombo, S. W. Holman, J. Boyd, M. C. Dange, D. A. Mann, M. R. H. White, C. E. Eyers, Dynamic phosphorylation of RelA on Ser42 and Ser45 in response to TNFα stimulation regulates DNA binding and transcription. Open Biol. 6, 160055 (2016).
15
I. Mylonis, G. Chachami, M. Samiotaki, G. Panayotou, E. Paraskeva, A. Kalousi, E. Georgatsou, S. Bonanou, G. Simos, Identification of MAPK phosphorylation sites and their role in the localization and activity of hypoxia-inducible factor-1α. J. Biol. Chem. 281, 33095–33106 (2006).
16
J. W. Jeong, M. K. Bae, M. Y. Ahn, S. H. Kim, T. K. Sohn, M. H. Bae, M. A. Yoo, E. J. Song, K. J. Lee, K. W. Kim, Regulation and destabilization of HIF-1α by ARD1-mediated acetylation. Cell 111, 709–720 (2002).
17
Y. Kim, H. J. Nam, J. Lee, D. Y. Park, C. Kim, Y. S. Yu, D. Kim, S. W. Park, J. Bhin, D. Hwang, H. Lee, G. Y. Koh, S. H. Baek, Methylation-dependent regulation of HIF-1α stability restricts retinal and tumour angiogenesis. Nat. Commun. 7, 10347 (2016).
18
K. Tanimoto, Y. Makino, T. Pereira, L. Poellinger, Mechanism of regulation of the hypoxia-inducible factor-1 α by the von Hippel-Lindau tumor suppressor protein. EMBO J. 19, 4298–4309 (2000).
19
S.-H. Bae, J.-W. Jeong, J. A. Park, S.-H. Kim, M.-K. Bae, S.-J. Choi, K.-W. Kim, Sumoylation increases HIF-1α stability and its transcriptional activity. Biochem. Biophys. Res. Commun. 324, 394–400 (2004).
20
F. Li, P. Sonveaux, Z. N. Rabbani, S. Liu, B. Yan, Q. Huang, Z. Vujaskovic, M. W. Dewhirst, C.-Y. Li, Regulation of HIF-1α stability through S-nitrosylation. Mol. Cell 26, 63–74 (2007).
21
Y. M. Tian, K. K. Yeoh, M. K. Lee, T. Eriksson, B. M. Kessler, H. B. Kramer, M. J. Edelmann, C. Willam, C. W. Pugh, C. J. Schofield, P. J. Ratcliffe, Differential sensitivity of hypoxia inducible factor hydroxylation sites to hypoxia and hydroxylase inhibitors. J. Biol. Chem. 286, 13041–13051 (2011).
22
J. H. Ohyashiki, C. Kobayashi, R. Hamamura, S. Okabe, T. Tauchi, K. Ohyashiki, The oral iron chelator deferasirox represses signaling through the mTOR in myeloid leukemia cells by enhancing expression of REDD1. Cancer Sci. 100, 970–977 (2009).
23
Y. Yu, D. R. Richardson, Cellular iron depletion stimulates the JNK and p38 MAPK signaling transduction pathways, dissociation of ASK1-thioredoxin, and activation of ASK1. J. Biol. Chem. 286, 15413–15427 (2011).
24
M. Wang, M. Weiss, M. Simonovic, G. Haertinger, S. P. Schrimpf, M. O. Hengartner, C. von Mering, PaxDb, a database of protein abundance averages across all three domains of life. Mol. Cell. Proteomics 11, 492–500 (2012).
25
E. Moroz, S. Carlin, K. Dyomina, S. Burke, H. T. Thaler, R. Blasberg, I. Serganova, Real-time imaging of HIF-1α stabilization and degradation. PLOS ONE 4, e5077 (2009).
26
H.-S. Li, Y.-N. Zhou, L. Li, S.-F. Li, D. Long, X.-L. Chen, J.-B. Zhang, L. Feng, Y.-P. Li, HIF-1α protects against oxidative stress by directly targeting mitochondria. Redox Biol. 25, 101109 (2019).
27
T. Briston, J. Yang, M. Ashcroft, HIF-1α localization with mitochondria: A new role for an old favorite? Cell Cycle 10, 4170–4171 (2011).
28
A. Concolino, E. Olivo, L. Tammè, C. V. Fiumara, M. T. De Angelis, B. Quaresima, V. Agosti, F. S. Costanzo, G. Cuda, D. Scumaci, Proteomics analysis to assess the role of mitochondria in BRCA1-mediated breast tumorigenesis. Proteomes 6, 16 (2018).
29
J. Uniacke, C. E. Holterman, G. Lachance, A. Franovic, M. D. Jacob, M. R. Fabian, J. Payette, M. Holcik, A. Pause, S. Lee, An oxygen-regulated switch in the protein synthesis machinery. Nature 486, 126–129 (2012).
30
J. Haendeler, J. Hoffmann, R. P. Brandes, A. M. Zeiher, S. Dimmeler, Hydrogen peroxide triggers nuclear export of telomerase reverse transcriptase via Src kinase family-dependent phosphorylation of tyrosine 707. Mol. Cell. Biol. 23, 4598–4610 (2003).
31
H. Seimiya, H. Sawada, Y. Muramatsu, M. Shimizu, K. Ohko, K. Yamane, T. Tsuruo, Involvement of 14-3-3 proteins in nuclear localization of telomerase. EMBO J. 19, 2652–2661 (2000).
32
W. Xu, W. Zhou, M. Cheng, J. Wang, Z. Liu, S. He, X. Luo, W. Huang, T. Chen, W. Yan, J. Xiao, Hypoxia activates Wnt/β-catenin signaling by regulating the expression of BCL9 in human hepatocellular carcinoma. Sci. Rep. 7, 40446 (2017).
33
N. Sang, D. P. Stiehl, J. Bohensky, I. Leshchinsky, V. Srinivas, J. Caro, MAPK signaling up-regulates the activity of hypoxia-inducible factors by its effects on p300. J. Biol. Chem. 278, 14013–14019 (2003).
34
L. D'Ignazio, S. Rocha, Hypoxia induced NF-κB. Cell 5, 10 (2016).
35
H. Cam, J. B. Easton, A. High, P. J. Houghton, mTORC1 signaling under hypoxic conditions is controlled by ATM-dependent phosphorylation of HIF-1α. Mol. Cell 40, 509–520 (2010).
36
T. H. Kim, E. G. Hur, S. J. Kang, J. A. Kim, D. Thapa, Y. M. Lee, S. K. Ku, Y. Jung, M. K. Kwak, NRF2 blockade suppresses colon tumor angiogenesis by inhibiting hypoxia-induced activation of HIF-1α. Cancer Res. 71, 2260–2275 (2011).
37
UniProt Consortium, UniProt: A worldwide hub of protein knowledge. Nucleic Acids Res. 47, D506–D515 (2018).
38
P. V. Hornbeck, J. M. Kornhauser, S. Tkachev, B. Zhang, E. Skrzypek, B. Murray, V. Latham, M. Sullivan, PhosphoSitePlus: A comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse. Nucleic Acids Res. 40, D261–D270 (2012).
39
C. W. Pugh, J. F. O'Rourke, M. Nagao, J. M. Gleadle, P. J. Ratcliffe, Activation of hypoxia-inducible factor-1; definition of regulatory domains within the α subunit. J. Biol. Chem. 272, 11205–11214 (1997).
40
B. H. Jiang, J. Z. Zheng, S. W. Leung, R. Roe, G. L. Semenza, Transactivation and inhibitory domains of hypoxia-inducible factor 1α. Modulation of transcriptional activity by oxygen tension. J. Biol. Chem. 272, 19253–19260 (1997).
41
H. S. Chung, S.-B. Wang, V. Venkatraman, C. I. Murray, J. E. Van Eyk, Cysteine oxidative posttranslational modifications: Emerging regulation in the cardiovascular system. Circ. Res. 112, 382–392 (2013).
42
D. P. Byrne, S. Shrestha, M. Galler, M. Cao, L. A. Daly, A. E. Campbell, C. E. Eyers, E. A. Veal, N. Kannan, P. A. Eyers, Aurora A regulation by reversible cysteine oxidation reveals evolutionarily conserved redox control of Ser/Thr protein kinase activity. Sci. Signal. 13, eaax2713 (2020).
43
F. Sun, Y. Ding, Q. Ji, Z. Liang, X. Deng, C. C. L. Wong, C. Yi, L. Zhang, S. Xie, S. Alvarez, L. M. Hicks, C. Luo, H. Jiang, L. Lan, C. He, Protein cysteine phosphorylation of SarA/MgrA family transcriptional regulators mediates bacterial virulence and antibiotic resistance. Proc. Natl. Acad. Sci. U.S.A. 109, 15461–15466 (2012).
44
G. Hardman, S. Perkins, P. J. Brownridge, C. J. Clarke, D. P. Byrne, A. E. Campbell, A. Kalyuzhnyy, A. Myall, P. A. Eyers, A. R. Jones, C. E. Eyers, Strong anion exchange-mediated phosphoproteomics reveals extensive human non-canonical phosphorylation. EMBO J. 38, e100847 (2019).
45
G. S. McDowell, A. Philpott, Non-canonical ubiquitylation: Mechanisms and consequences. Int. J. Biochem. Cell Biol. 45, 1833–1842 (2013).
46
A. F. Carvalho, M. P. Pinto, C. P. Grou, I. S. Alencastre, M. Fransen, C. Sá-Miranda, J. E. Azevedo, Ubiquitination of mammalian Pex5p, the peroxisomal import receptor. J. Biol. Chem. 282, 31267–31272 (2007).
47
M. S. Kim, J. Zhong, A. Pandey, Common errors in mass spectrometry-based analysis of post-translational modifications. Proteomics 16, 700–714 (2016).
48
M. Würfel, I. Häberlein, H. Follmann, Facile sulfitolysis of the disulfide bonds in oxidized thioredoxin and glutaredoxin. Eur. J. Biochem. 211, 609–614 (1993).
49
J. Rodriguez, C. H. D. Haydinger, D. J. Peet, L. K. Nguyen, A. von Kriegsheim, Asparagine hydroxylation is a reversible post-translational modification. Mol. Cell. Proteomics 19, 1777–1789 (2020).
50
R. Betancur-R, R. E. Broughton, E. O. Wiley, K. Carpenter, J. A. Lopez, C. Li, N. I. Holcroft, D. Arcila, M. Sanciangco, J. C. Cureton Ii, F. Zhang, T. Buser, M. A. Campbell, J. A. Ballesteros, A. Roa-Varon, S. Willis, W. C. Borden, T. Rowley, P. C. Reneau, D. J. Hough, G. Lu, T. Grande, G. Arratia, G. Orti, The tree of life and a new classification of bony fishes. PLOS Curr. 5, ecurrents.tol.53ba26640df0ccaee75bb165c8c26288 (2013).
51
J. W. Bullen, I. Tchernyshyov, R. J. Holewinski, L. DeVine, F. Wu, V. Venkatraman, D. L. Kass, R. N. Cole, J. Van Eyk, G. L. Semenza, Protein kinase A-dependent phosphorylation stimulates the transcriptional activity of hypoxia-inducible factor 1. Sci. Signal. 9, ra56 (2016).
52
D. Wu, N. Potluri, J. Lu, Y. Kim, F. Rastinejad, Structural integration in hypoxia-inducible factors. Nature 524, 303–308 (2015).
53
A. Warnecke, T. Sandalova, A. Achour, R. A. Harris, PyTMs: A useful PyMOL plugin for modeling common post-translational modifications. BMC Bioinformatics 15, 370 (2014).
54
M. Batie, J. Druker, L. D'Ignazio, S. Rocha, KDM2 family members are regulated by HIF-1 in hypoxia. Cell 6, 8 (2017).
55
C. Loenarz, M. L. Coleman, A. Boleininger, B. Schierwater, P. W. H. Holland, P. J. Ratcliffe, C. J. Schofield, The hypoxia-inducible transcription factor pathway regulates oxygen sensing in the simplest animal, Trichoplax adhaerens. EMBO Rep. 12, 63–70 (2011).
56
J. Huang, Q. Zhao, S. M. Mooney, F. S. Lee, Sequence determinants in hypoxia-inducible factor-1α for hydroxylation by the prolyl hydroxylases PHD1, PHD2, and PHD3. J. Biol. Chem. 277, 39792–39800 (2002).
57
E. Pangou, C. Befani, I. Mylonis, M. Samiotaki, G. Panayotou, G. Simos, P. Liakos, HIF-2α phosphorylation by CK1δ promotes erythropoietin secretion in liver cancer cells under hypoxia. J. Cell Sci. 129, 4213–4226 (2016).
58
H. Zhong, K. Chiles, D. Feldser, E. Laughner, C. Hanrahan, M.-M. Georgescu, J. W. Simons, G. L. Semenza, Modulation of hypoxia-inducible factor 1α expression by the epidermal growth factor/phosphatidylinositol 3-kinase/PTEN/AKT/FRAP pathway in human prostate cancer cells: Implications for tumor angiogenesis and therapeutics. Cancer Res. 60, 1541–1545 (2000).
59
G. V. Thomas, C. Tran, I. K. Mellinghoff, D. S. Welsbie, E. Chan, B. Fueger, J. Czernin, C. L. Sawyers, Hypoxia-inducible factor determines sensitivity to inhibitors of mTOR in kidney cancer. Nat. Med. 12, 122–127 (2006).
60
L. W. Thomas, M. Ashcroft, Exploring the molecular interface between hypoxia-inducible factor signalling and mitochondria. Cell. Mol. Life Sci. 76, 1759–1777 (2019).
61
D. Cangelosi, M. Morini, N. Zanardi, A. R. Sementa, M. Muselli, M. Conte, A. Garaventa, U. Pfeffer, M. C. Bosco, L. Varesio, A. Eva, Hypoxia predicts poor prognosis in neuroblastoma interestingly and associates with biological mechanisms involved in telomerase activation and tumor microenvironment reprogramming. Cancers (Basel) 12, 2343 (2020).
62
Q. Zheng, J. Huang, G. Wang, Mitochondria, telomeres and telomerase subunits. Front. Cell Dev. Biol. 7, 274 (2019).
63
E. P. Cummins, E. Berra, K. M. Comerford, A. Ginouves, K. T. Fitzgerald, F. Seeballuck, C. Godson, J. E. Nielsen, P. Moynagh, J. Pouyssegur, C. T. Taylor, Prolyl hydroxylase-1 negatively regulates IκB kinase-β, giving insight into hypoxia-induced NFκB activity. Proc. Natl. Acad. Sci. U.S.A. 103, 18154–18159 (2006).
64
G. Sarkar, S. S. Sommer, The "megaprimer" method of site-directed mutagenesis. Biotechniques 8, 404–407 (1990).
65
S. Ferries, S. Perkins, P. J. Brownridge, A. Campbell, P. A. Eyers, A. R. Jones, C. E. Eyers, Evaluation of parameters for confident phosphorylation site localization using an orbitrap fusion tribrid mass spectrometer. J. Proteome Res. 16, 3448–3459 (2017).
66
B. G. Hall, Building phylogenetic trees from molecular data with MEGA. Mol. Biol. Evol. 30, 1229–1235 (2013).
67
S. A. Chamberlain, E. Szöcs, taxize: Taxonomic search and retrieval in R. F1000Res 2, 191 (2013).
68
R. C. Edgar, MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).
69
S. Kumar, G. Stecher, K. Tamura, MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 33, 1870–1874 (2016).
70
M. A. Larkin, G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I. M. Wallace, A. Wilm, R. Lopez, J. D. Thompson, T. J. Gibson, D. G. Higgins, Clustal W and Clustal X version 2.0. Bioinformatics 23, 2947–2948 (2007).
71
D. W. Huang, B. T. Sherman, R. A. Lempicki, Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44–57 (2009).
72
D. W. Huang, B. T. Sherman, R. A. Lempicki, Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 37, 1–13 (2009).

(0)eLetters

eLetters is an online forum for ongoing peer review. Submission of eLetters are open to all. eLetters are not edited, proofread, or indexed. Please read our Terms of Service before submitting your own eLetter.

Log In to Submit a Response

No eLetters have been published for this article yet.

Information & Authors

Information

Published In

Science Signaling
Volume 14 | Issue 692
July 2021

Submission history

Received: 12 November 2020
Accepted: 24 May 2021

Permissions

Request permissions for this article.

Acknowledgments

We thank the technical support received for confocal imaging by the Centre for Cell Imaging staff, especially J. Adcott for support and assistance in this work. Funding: This work was supported by the Biotechnology and Biological Sciences Research Council (BBSRC; BB/R000182/1 and BB/M012557/1 to C.E.E.). L.A.D. was supported by a BBSRC DTP Ph.D. studentship award. Equipment for imaging was funded by the Medical Research Council (MRCMR/K015931/1). Author contributions: L.A.D., V.S., and C.E.E. designed the project; L.A.D. performed most of the experiments, with P.J.B. contributing to MS data acquisition; M.B. performed the ChIP-seq experiments with input from S.R.; L.A.D. and C.E.E. analyzed the proteomics/MS data; L.A.D., V.S., and C.E.E. wrote the manuscript with contribution from all authors. All authors have given approval to the final version of the manuscript. Competing interests: The authors declare that they have no competing interests. Data and materials availability: The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD022479. Generated plasmids are available from Addgene. All other data needed to evaluate the conclusions in the paper are present in the paper or the Supplementary Materials.

Authors

Affiliations

Department of Biochemistry and System Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Centre for Proteome Research, University of Liverpool, Liverpool L69 7ZB, UK.
Centre for Proteome Research, University of Liverpool, Liverpool L69 7ZB, UK.
Department of Molecular Physiology and Cell Signaling, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Department of Molecular Physiology and Cell Signaling, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Department of Molecular Physiology and Cell Signaling, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Centre for Cell Imaging, University of Liverpool, Liverpool L69 7ZB, UK.
Department of Biochemistry and System Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Centre for Proteome Research, University of Liverpool, Liverpool L69 7ZB, UK.

Funding Information

Medical Research Council: MRCMR/K015931/1

Notes

*
Corresponding author. Email: [email protected] (C.E.E.); [email protected] (V.S.)

Metrics & Citations

Metrics

Article Usage
Altmetrics

Citations

Export citation

Select the format you want to export the citation of this publication.

Cited by

  1. Evolutionary and cellular analysis of the ‘dark’ pseudokinase PSKH2, Biochemical Journal, 480, 2, (141-160), (2023).https://doi.org/10.1042/BCJ20220474
    Crossref
  2. Endotyping COPD: hypoxia-inducible factor-2 as a molecular “switch” between the vascular and airway phenotypes?, European Respiratory Review, 32, 167, (220173), (2023).https://doi.org/10.1183/16000617.0173-2022
    Crossref
  3. Updated perspective of EPAS1 and the role in pulmonary hypertension, Frontiers in Cell and Developmental Biology, 11, (2023).https://doi.org/10.3389/fcell.2023.1125723
    Crossref
  4. Facts and Perspectives: Implications of tumor glycolysis on immunotherapy response in triple negative breast cancer, Frontiers in Oncology, 12, (2023).https://doi.org/10.3389/fonc.2022.1061789
    Crossref
  5. Multifunctional Hydroxyapatite Nanobelt Haystacks Integrated Neural Stem Cell Spheroid for Rapid Spinal Cord Injury Repair, Advanced Functional Materials, (2214869), (2023).https://doi.org/10.1002/adfm.202214869
    Crossref
  6. Systems approaches to understand oxygen sensing: how multi-omics has driven advances in understanding oxygen-based signalling, Biochemical Journal, 479, 3, (245-257), (2022).https://doi.org/10.1042/BCJ20210554
    Crossref
  7. Mislocalization of protein kinase A drives pathology in Cushing’s syndrome, Cell Reports, 40, 2, (111073), (2022).https://doi.org/10.1016/j.celrep.2022.111073
    Crossref
  8. Vulnerability of HIF1α and HIF2α to damage by proteotoxic stressors, Toxicology and Applied Pharmacology, 445, (116041), (2022).https://doi.org/10.1016/j.taap.2022.116041
    Crossref
  9. Oxygen sensing and transcriptional regulation under hypoxia exposure in the mollusk Crassostrea gigas, Science of The Total Environment, 853, (158557), (2022).https://doi.org/10.1016/j.scitotenv.2022.158557
    Crossref
  10. Mechanism of glycogen synthase inactivation and interaction with glycogenin, Nature Communications, 13, 1, (2022).https://doi.org/10.1038/s41467-022-31109-6
    Crossref
  11. See more
Loading...

View Options

Check Access

Log in to view the full text

AAAS ID LOGIN

AAAS login provides access to Science for AAAS Members, and access to other journals in the Science family to users who have purchased individual subscriptions.

Log in via OpenAthens.
Log in via Shibboleth.

More options

Register for free to read this article

As a service to the community, this article is available for free. Login or register for free to read this article.

View options

PDF format

Download this article as a PDF file

Download PDF

Full Text

FULL TEXT

Media

Figures

Multimedia

Tables

Share

Share

Share article link

Share on social media