The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The monocarboxylate transporter family—Structure and functional characterization
Abstract
Monocarboxylate transporters (MCTs) catalyze the proton‐linked transport of monocarboxylates such as L‐lactate, pyruvate, and the ketone bodies across the plasma membrane. There are four isoforms, MCTs 1–4, which are known to perform this function in mammals, each with distinct substrate and inhibitor affinities. They are part of the larger SLC16 family of solute carriers, also known as the MCT family, which has 14 members in total, all sharing conserved sequence motifs. The family includes a high‐affinity thyroid hormone transporter (MCT8), an aromatic amino acid transporter (T‐type amino acid transporter 1/MCT10), and eight orphan members yet to be characterized. MCTs were predicted to have 12 transmembrane helices (TMs) with intracellular C‐ and N‐termini and a large intracellular loop between TMs 6 and 7, and this was confirmed by labeling studies and proteolytic digestion. Site‐directed mutagenesis has identified key residues required for catalysis and inhibitor binding and enabled the development of a molecular model of MCT1 in both inward and outward facing conformations. This suggests a likely mechanism for the translocation cycle. Although MCT family members are not themselves glycosylated, MCTs1–4 require association with a glycosylated ancillary protein, either basigin or embigin, for their correct translocation to the plasma membrane. These ancillary proteins have a single transmembrane domain and two to three extracellular immunoglobulin domains. They must remain closely associated with MCTs1–4 to maintain transporter activity. MCT1, MCT3, and MCT4 bind preferentially to basigin and MCT2 to embigin. The choice of binding partner does not affect substrate specificity or kinetics but can influence inhibitor specificity. © 2011 IUBMB Life, 2011
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Identification of monocarboxylate transporter 8 as a specific thyroid hormone transporter
Friesema, E. C. H., Ganguly, S., Abdalla, A., Fox, J. E. M., Halestrap, A. P., & Visser, T. J. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m300909200 · Cited by 725
Self-citationFriesema, E. C., Grueters, A., Biebermann, H., Krude, H., von Moers, A., Reeser, M., Barrett, T. G., Mancilla, E. E., Svensson, J., Kester, M. H., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17226-7 · Cited by 709
Self-citationMinireview: Thyroid Hormone Transporters: The Knowns and the Unknowns
Visser, W. E., Friesema, E. C. H., & Visser, T. J. (2011) · Molecular Endocrinology · doi:10.1210/me.2010-0095 · Cited by 390
PRICE, T. N., JACKSON, N. V., & HALESTRAP, P. A. (1998) · Biochemical Journal · doi:10.1042/bj3290321 · Cited by 361
Bergersen, L., Wærhaug, O., Helm, J., Thomas, M., Laake, P., Davies, A. J., Wilson, M. C., Halestrap, A. P., & Ottersen, O. P. (2001) · Experimental Brain Research · doi:10.1007/s002210000600 · Cited by 155
Cited by
Verkhratsky, A., & Nedergaard, M. (2018) · Physiological Reviews · doi:10.1152/physrev.00042.2016 · Cited by 1,678
Lactate metabolism in human health and disease
Li, X., Yang, Y., Zhang, B., Lin, X., Fu, X., An, Y., Zou, Y., Wang, J.-X., Wang, Z., & Yu, T. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01151-3 · Cited by 1,454
The cancer metabolic reprogramming and immune response
Xia, L., Oyang, L., Lin, J., Tan, S., Han, Y., Wu, N., Yi, P., Tang, L., Pan, Q., Rao, S., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01316-8 · Cited by 1,312
Role of Monocarboxylate Transporters in Drug Delivery to the Brain
Vijay, N., & Morris, M. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990462 · Cited by 408
Hypoxia, cancer metabolism and the therapeutic benefit of targeting lactate/H(+) symporters
Marchiq, I., & Pouysségur, J. (2016) · Journal of Molecular Medicine · doi:10.1007/s00109-015-1307-x · Cited by 300
pH-gated succinate secretion regulates muscle remodeling in response to exercise
Reddy, A., Bozi, L. H. M., Yaghi, O. K., Mills, E. L., Xiao, H., Nicholson, H. E., Paschini, M., Paulo, J. A., Garrity, R., Laznik-Bogoslavski, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.039 · Cited by 279
Stratification of astrocytes in healthy and diseased brain
Verkhratsky, A., Zorec, R., & Parpura, V. (2017) · Brain Pathology · doi:10.1111/bpa.12537 · Cited by 236
Jha, M. K., & Morrison, B. M. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.07.009 · Cited by 203
The mechanism of Warburg effect-induced chemoresistance in cancer
Liu, C., Jin, Y., & Fan, Z. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.698023 · Cited by 177
Pyruvate and metabolic flexibility: illuminating a path toward selective cancer therapies
Olson, K. A., Schell, J. C., & Rutter, J. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.01.002 · Cited by 154
Metabolic requirement for GOT2 in pancreatic cancer depends on environmental context
Kerk, S. A., Lin, L., Myers, A. L., Sutton, D. J., Andren, A., Sajjakulnukit, P., Zhang, L., Zhang, Y., Jiménez, J. A., Nelson, B. S., et al. (2022) · eLife · doi:10.7554/elife.73245 · Cited by 108
Inhibition of Lactate Transport Erases Drug Memory and Prevents Drug Relapse
Zhang, Y., Xue, Y., Meng, S., Luo, Y., Liang, J., Li, J., Ai, S., Sun, C., Shen, H., Zhu, W., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.07.007 · Cited by 106
Regulation of neuron-astrocyte metabolic coupling across the sleep-wake cycle
Petit, J.-M., & Magistretti, P. J. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2015.12.007 · Cited by 92
Tissue-Specific Expression of Monocarboxylate Transporters during Fasting in Mice
Schutkowski, A., Wege, N., Stangl, G. I., & König, B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112118 · Cited by 53
Tissue thyroid hormones and thyronamines
Accorroni, A., Saponaro, F., & Zucchi, R. (2016) · Heart Failure Reviews · doi:10.1007/s10741-016-9553-8 · Cited by 29
Consumption and Metabolism of Extracellular Pyruvate by Cultured Rat Brain Astrocytes
Denker, N., Harders, A. R., Arend, C., & Dringen, R. (2023) · Neurochemical Research · doi:10.1007/s11064-022-03831-6 · Cited by 22
Metadata
- Authors
- Halestrap, A. P.
- Venue
- IUBMB Life
- Publisher
- Wiley
- Published
- 2011-11-30
- Volume
- 64
- Issue
- 1
- Pages
- 1-9
- ISSN
- 1521-6543 (ISSN-L)
- 1521-6551
- OpenAlex
- W2161372685
- Cited by
- 710
- References
- 5
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
