The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Transcriptional profiling of Arabidopsis heat shock proteins and transcription factors reveals extensive overlap between heat and non-heat stress response pathways
Open accessAbstract
BACKGROUND: The heat shock response of Arabidopsis thaliana is dependent upon a complex regulatory network involving twenty-one known transcription factors and four heat shock protein families. It is known that heat shock proteins (Hsps) and transcription factors (Hsfs) are involved in cellular response to various forms of stress besides heat. However, the role of Hsps and Hsfs under cold and non-thermal stress conditions is not well understood, and it is unclear which types of stress interact least and most strongly with Hsp and Hsf response pathways. To address this issue, we have analyzed transcriptional response profiles of Arabidopsis Hsfs and Hsps to a range of abiotic and biotic stress treatments (heat, cold, osmotic stress, salt, drought, genotoxic stress, ultraviolet light, oxidative stress, wounding, and pathogen infection) in both above and below-ground plant tissues. RESULTS: All stress treatments interact with Hsf and Hsp response pathways to varying extents, suggesting considerable cross-talk between heat and non-heat stress regulatory networks. In general, Hsf and Hsp expression was strongly induced by heat, cold, salt, and osmotic stress, while other types of stress exhibited family or tissue-specific response patterns. With respect to the Hsp20 protein family, for instance, large expression responses occurred under all types of stress, with striking similarity among expression response profiles. Several genes belonging to the Hsp20, Hsp70 and Hsp100 families were specifically upregulated twelve hours after wounding in root tissue, and exhibited a parallel expression response pattern during recovery from heat stress. Among all Hsf and Hsp families, large expression responses occurred under ultraviolet-B light stress in aerial tissue (shoots) but not subterranean tissue (roots). CONCLUSION: Our findings show that Hsf and Hsp family member genes represent an interaction point between multiple stress response pathways, and therefore warrant functional analysis under conditions apart from heat shock treatment. In addition, our analysis revealed several family and tissue-specific heat shock gene expression patterns that have not been previously described. These results have implications regarding the molecular basis of cross-tolerance in plant species, and raise new questions to be pursued in future experimental studies of the Arabidopsis heat shock response network.
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Feder, M. E., & Hofmann, G. E. (1999) · Annual Review of Physiology · doi:10.1146/annurev.physiol.61.1.243 · Cited by 4,287
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
(2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0 · Cited by 3,289
Abiotic stress, the field environment and stress combination
Mittler, R. (2006) · Trends in Plant Science · doi:10.1016/j.tplants.2005.11.002 · Cited by 3,083
A gene expression map of Arabidopsis thaliana development
Schmid, M., Davison, T. S., Henz, S. R., Pape, U. J., Demar, M., Vingron, M., Schölkopf, B., Weigel, D., & Lohmann, J. U. (2005) · Nature Genetics · doi:10.1038/ng1543 · Cited by 2,523
Cellular response to oxidative stress: Signaling for suicide and survival*
Martindale, J. L., & Holbrook, N. J. (2002) · Journal of Cellular Physiology · doi:10.1002/jcp.10119 · Cited by 2,297
Identifying differentially expressed genes using false discovery rate controlling procedures
Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765
Verslues, P. E., Agarwal, M., Katiyar‐Agarwal, S., Zhu, J., & Zhu, J. (2006) · The Plant Journal · doi:10.1111/j.1365-313x.2005.02593.x · Cited by 1,719
A Model-Based Background Adjustment for Oligonucleotide Expression Arrays
Wu, Z., Irizarry, R. A., Gentleman, R., Martinez-Murillo, F., & Spencer, F. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000683 · Cited by 1,716
Cited by
Physiological, Biochemical, and Molecular Mechanisms of Heat Stress Tolerance in Plants
Hasanuzzaman, M., Nahar, K., Alam, M., Roychowdhury, R., & Fujita, M. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms14059643 · Cited by 2,313
The effect of drought and heat stress on reproductive processes in cereals
BARNABÁS, B., JÄGER, K., & FEHÉR, A. (2008) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.2007.01727.x · Cited by 2,066
Cellular Stress Responses: Cell Survival and Cell Death
Fulda, S., Gorman, A. M., Hori, O., & Samali, A. (2010) · International Journal of Cell Biology · doi:10.1155/2010/214074 · Cited by 1,519
The heat‐shock protein/chaperone network and multiple stress resistance
Jacob, P., Hirt, H., & Bendahmane, A. (2017) · Plant Biotechnology Journal · doi:10.1111/pbi.12659 · Cited by 772
Ruelland, E., & Zachowski, A. (2010) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2010.05.011 · Cited by 507
Metadata
- Authors
- Swindell, W. R., Huebner, M., & Weber, A. P.
- Venue
- BMC Genomics
- Published
- 2007
- Volume
- 8
- Issue
- 1
- Pages
- 125
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W2072008344
- Cited by
- 631
- References
- 69
- FWCI
- 25.03
- Type
- journal article
- Language
- en
- Open access
- gold
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: Transcriptional profiling of Arabidopsis heat shock proteins and transcription factors reveals extensive overlap between heat and non-heat stress response pathways. https://app.cochat.ai/papers/10.1186/1471-2164-8-125
- The paper
- Swindell, W. R., Huebner, M., & Weber, A. P. (2007). Transcriptional profiling of Arabidopsis heat shock proteins and transcription factors reveals extensive overlap between heat and non-heat stress response pathways. BMC Genomics. https://doi.org/10.1186/1471-2164-8-125
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.