The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Cell death stages in single apoptotic and necrotic cells monitored by Raman microspectroscopy
Open accessAbstract
Although apoptosis and necrosis have distinct features, the identification and discrimination of apoptotic and necrotic cell death in vitro is challenging. Immunocytological and biochemical assays represent the current gold standard for monitoring cell death pathways; however, these standard assays are invasive, render large numbers of cells and impede continuous monitoring experiments. In this study, both room temperature (RT)-induced apoptosis and heat-triggered necrosis were analyzed in individual Saos-2 and SW-1353 cells by utilizing Raman microspectroscopy. A targeted analysis of defined cell death modalities, including early and late apoptosis as well as necrosis, was facilitated based on the combination of Raman spectroscopy with fluorescence microscopy. Spectral shifts were identified in the two cell lines that reflect biochemical changes specific for either RT-induced apoptosis or heat-mediated necrosis. A supervised classification model specified apoptotic and necrotic cell death based on single cell Raman spectra. To conclude, Raman spectroscopy allows a non-invasive, continuous monitoring of cell death, which may help shedding new light on complex pathophysiological or drug-induced cell death processes.
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
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Vermes, I., Haanen, C., Steffens-Nakken, H., & Reutellingsperger, C. (1995) · Journal of Immunological Methods · doi:10.1016/0022-1759(95)00072-i · Cited by 5,410
Martin, S. J., Reutelingsperger, C. P., McGahon, A. J., Rader, J. A., van Schie, R. C., LaFace, D. M., & Green, D. R. (1995) · The Journal of experimental medicine · doi:10.1084/jem.182.5.1545 · Cited by 2,824
Apoptosis: controlled demolition at the cellular level
Taylor, R. C., Cullen, S. P., & Martin, S. J. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2312 · Cited by 2,624
A user-friendly guide to Multivariate Calibration and Classification
Næs, T., Isaksson, T., Fearn, T., & Davies, T. (2017) · doi:10.1255/978-1-906715-25-0 · Cited by 1,401
Studying single living cells and chromosomes by confocal Raman microspectroscopy
Puppels, G. J., de Mul, F. F. M., Otto, C., Greve, J., Robert-Nicoud, M., Arndt-Jovin, D. J., & Jovin, T. M. (1990) · Nature · doi:10.1038/347301a0 · Cited by 920
Cellular strategies for controlling protein aggregation
Tyedmers, J., Mogk, A., & Bukau, B. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2993 · Cited by 896
Raman spectroscopy: Recent advancements, techniques and applications
Das, R. S., & Agrawal, Y. K. (2011) · Vibrational Spectroscopy · doi:10.1016/j.vibspec.2011.08.003 · Cited by 773
Apoptosis and Beyond: Cytometry in Studies of Programmed Cell Death
Wlodkowic, D., Telford, W., Skommer, J., & Darzynkiewicz, Z. (2011) · Methods in Cell Biology · doi:10.1016/b978-0-12-385493-3.00004-8 · Cited by 465
Cited by
The substrate matters in the Raman spectroscopy analysis of cells
Mikoliunaite, L., Rodriguez, R. D., Sheremet, E., Kolchuzhin, V., Mehner, J., Ramanavicius, A., & Zahn, D. R. T. (2015) · Scientific Reports · doi:10.1038/srep13150 · Cited by 87
Hinderer, S., Brauchle, E., & Schenke‐Layland, K. (2015) · Advanced Healthcare Materials · doi:10.1002/adhm.201400762 · Cited by 68
Self-citationNara, S., Chameettachal, S., Midha, S., Murab, S., & Ghosh, S. (2016) · RSC Advances · doi:10.1039/c5ra20745b · Cited by 42
Effects of Sleep Deprivation on Mice Bone Marrow and Spleen B Lymphopoiesis
Lungato, L., Nogueira‐Pedro, A., Carvalho Dias, C., Paredes‐Gamero, E. J., Tufik, S., & D'Almeida, V. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25231 · Cited by 18
New perspective for pathomechanism and clinical applications of animal toxins: Programmed cell death
Sun, J., Liu, J., Liu, M., Bi, X., & Huang, C. (2024) · Toxicon · doi:10.1016/j.toxicon.2024.108071 · Cited by 6
Metadata
- Authors
- Brauchle, E., Thude, S., Brucker, S. Y., & Schenke-Layland, K.
- Venue
- Scientific Reports
- Published
- 2014-04-15
- Volume
- 4
- Issue
- 1
- Pages
- 4698-4698
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2044166463
- Cited by
- 310
- References
- 38
- FWCI
- 13.04
- 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
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.
