The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Proline Mechanisms of Stress Survival
Open accessAbstract
SIGNIFICANCE: The imino acid proline is utilized by different organisms to offset cellular imbalances caused by environmental stress. The wide use in nature of proline as a stress adaptor molecule indicates that proline has a fundamental biological role in stress response. Understanding the mechanisms by which proline enhances abiotic/biotic stress response will facilitate agricultural crop research and improve human health. RECENT ADVANCES: It is now recognized that proline metabolism propels cellular signaling processes that promote cellular apoptosis or survival. Studies have shown that proline metabolism influences signaling pathways by increasing reactive oxygen species (ROS) formation in the mitochondria via the electron transport chain. Enhanced ROS production due to proline metabolism has been implicated in the hypersensitive response in plants, lifespan extension in worms, and apoptosis, tumor suppression, and cell survival in animals. CRITICAL ISSUES: The ability of proline to influence disparate cellular outcomes may be governed by ROS levels generated in the mitochondria. Defining the threshold at which proline metabolic enzyme expression switches from inducing survival pathways to cellular apoptosis would provide molecular insights into cellular redox regulation by proline. Are ROS the only mediators of proline metabolic signaling or are other factors involved? FUTURE DIRECTIONS: New evidence suggests that proline biosynthesis enzymes interact with redox proteins such as thioredoxin. An important future pursuit will be to identify other interacting partners of proline metabolic enzymes to uncover novel regulatory and signaling networks of cellular stress response.
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
Cellular Defenses against Superoxide and Hydrogen Peroxide
Imlay, J. A. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061606.161055 · Cited by 1,563
Zarse, K., Schmeisser, S., Groth, M., Priebe, S., Beuster, G., Kuhlow, D., Guthke, R., Platzer, M., Kahn, C. R., & Ristow, M. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.02.013 · Cited by 430
The metabolism of proline, a stress substrate, modulates carcinogenic pathways
Phang, J. M., Donald, S. P., Pandhare, J., & Liu, Y. (2008) · Amino Acids · doi:10.1007/s00726-008-0063-4 · Cited by 252
Structural biology of proline catabolism
Tanner, J. J. (2008) · Amino Acids · doi:10.1007/s00726-008-0062-5 · Cited by 154 · cited 4×
“PRODH and P5CDH are well conserved in eukarya and bacteria with PRODHs sharing a catalytic core domain of a distorted (ab)8 barrel (117, 126).”
BackgroundInfluentialProline oxidase functions as a mitochondrial tumor suppressor in human cancers
Liu, Y., Borchert, G. L., Donald, S. P., Diwan, B. A., Anver, M., & Phang, J. M. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-1223 · Cited by 132
Cited by
Shahid, M. A., Sarkhosh, A., Khan, N., Balal, R. M., Ali, S., Rossi, L., Gómez, C., Mattson, N., Nasim, W., & Garcia-Sanchez, F. (2020) · Agronomy · doi:10.3390/agronomy10070938 · Cited by 508
Ghosh, U. K., Islam, M. N., Siddiqui, M. N., & Khan, M. A. R. (2021) · Plant Signaling & Behavior · doi:10.1080/15592324.2021.1913306 · Cited by 336
Plant salt response: Perception, signaling, and tolerance
Xiao, F., & Zhou, H. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1053699 · Cited by 286
Zhu, N., Cheng, S., Liu, X., Du, H., Dai, M., Zhou, D.-X., Yang, W., & Zhao, Y. (2015) · Plant Science · doi:10.1016/j.plantsci.2015.03.023 · Cited by 262
Qadeer, U., Ahmed, M., -Hassan, F.-U., & Akmal, M. (2019) · Sustainability · doi:10.3390/su11226486 · Cited by 16
Metadata
- Authors
- Liang, X., Zhang, L., Natarajan, S. K., & Becker, D. F.
- Venue
- Antioxidants & Redox Signaling
- Publisher
- SAGE Publications
- Published
- 2013-09-20
- Volume
- 19
- Issue
- 9
- Pages
- 998-1011
- ISSN
- 1523-0864 (ISSN-L)
- 1557-7716
- OpenAlex
- W2023627475
- Cited by
- 1,188
- References
- 5
- FWCI
- 19.45
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proline Mechanisms of Stress Survival. https://app.cochat.ai/papers/10.1089/ars.2012.5074
- The paper
- Liang, X., Zhang, L., Natarajan, S. K., & Becker, D. F. (2013). Proline Mechanisms of Stress Survival. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2012.5074
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.