The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Compact Biocompatible Quantum Dots Functionalized for Cellular Imaging
Open accessAbstract
We present a family of water-soluble quantum dots (QDs) that exhibit low nonspecific binding to cells, small hydrodynamic diameter, tunable surface charge, high quantum yield, and good solution stability across a wide pH range. These QDs are amenable to covalent modification via simple carbodiimide coupling chemistry, which is achieved by functionalizing the surface of QDs with a new class of heterobifunctional ligands incorporating dihydrolipoic acid, a short poly(ethylene glycol) (PEG) spacer, and an amine or carboxylate terminus. The covalent attachment of molecules is demonstrated by appending a rhodamine dye to form a QD-dye conjugate exhibiting fluorescence resonance energy transfer (FRET). High-affinity labeling is demonstrated by covalent attachment of streptavidin, thus enabling the tracking of biotinylated epidermal growth factor (EGF) bound to EGF receptor on live cells. In addition, QDs solubilized with the heterobifunctional ligands retain their metal-affinity driven conjugation chemistry with polyhistidine-tagged proteins. This dual functionality is demonstrated by simultaneous covalent attachment of a rhodamine FRET acceptor and binding of polyhistidine-tagged streptavidin on the same nanocrystal to create a targeted QD, which exhibits dual-wavelength emission. Such emission properties could serve as the basis for ratiometric sensing of the cellular receptor's local chemical environment.
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
Dabbousi, B. O., Rodriguez-Viejo, J., Mikulec, F. V., Heine, J. R., Mattoussi, H., Ober, R., Jensen, K. F., & Bawendi, M. G. (1997) · The Journal of Physical Chemistry B · doi:10.1021/jp971091y · Cited by 4,229
Self-citation
Cited by
The surface science of nanocrystals
Boles, M. A., Ling, D., Hyeon, T., & Talapin, D. V. (2016) · Nature Materials · doi:10.1038/nmat4526 · Cited by 1,742
Surface modification, functionalization and bioconjugation of colloidal inorganic nanoparticles
Sperling, R. A., & Parak, W. J. (2010) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2009.0273 · Cited by 1,601
Quantum dots: bright and versatile in vitro and in vivo fluorescence imaging biosensors
Wegner, K. D., & Hildebrandt, N. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00532e · Cited by 984
Nanodiamond Particles: Properties and Perspectives for Bioapplications
Schrand, A. M., Hens, S. A. C., & Shenderova, O. A. (2009) · Critical Reviews in Solid State and Materials Sciences · doi:10.1080/10408430902831987 · Cited by 802
Synthesis of micro and nanostructures in microfluidic systems
Marre, S., & Jensen, K. F. (2010) · Chemical Society Reviews · doi:10.1039/b821324k · Cited by 734
Algar, W. R., Tavares, A. J., & Krull, U. J. (2010) · Analytica Chimica Acta · doi:10.1016/j.aca.2010.05.026 · Cited by 511
Quantum Dots for Live Cell and In Vivo Imaging
Walling, M. A., Novak, J. A., & Shepard, J. R. E. (2009) · International Journal of Molecular Sciences · doi:10.3390/ijms10020441 · Cited by 511
Chemical Design of Biocompatible Iron Oxide Nanoparticles for Medical Applications
Ling, D., & Hyeon, T. (2013) · Small · doi:10.1002/smll.201202111 · Cited by 493
Optical molecular sensing with semiconductor quantum dots (QDs)
Freeman, R., & Willner, I. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15357b · Cited by 485
Quantum dots as a platform for nanoparticle drug delivery vehicle design
Probst, C. E., Zrazhevskiy, P., Bagalkot, V., & Gao, X. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.036 · Cited by 466
Stylianopoulos, T., Poh, M.-Z., Insin, N., Bawendi, M. G., Fukumura, D., Munn, L. L., & Jain, R. K. (2010) · Biophysical Journal · doi:10.1016/j.bpj.2010.06.016 · Cited by 443
Self-citationMonovalent, reduced-size quantum dots for imaging receptors on living cells
Howarth, M., Liu, W., Puthenveetil, S., Zheng, Y., Marshall, L. F., Schmidt, M. M., Wittrup, K. D., Bawendi, M. G., & Ting, A. Y. (2008) · Nature Methods · doi:10.1038/nmeth.1206 · Cited by 422
Self-citationProbing cellular events, one quantum dot at a time
Pinaud, F., Clarke, S., Sittner, A., & Dahan, M. (2010) · Nature Methods · doi:10.1038/nmeth.1444 · Cited by 401
Nucleic Acid Conjugated Nanomaterials for Enhanced Molecular Recognition
Wang, H., Yang, R., Yang, L., & Tan, W. (2009) · ACS Nano · doi:10.1021/nn9006303 · Cited by 329
Fluorescent nanoparticles for intracellular sensing: A review
Ruedas-Rama, M. J., Walters, J. D., Orte, A., & Hall, E. A. H. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.09.025 · Cited by 321
Susumu, K., Oh, E., Delehanty, J. B., Blanco-Canosa, J. B., Johnson, B. J., Jain, V., Hervey, W. J., Algar, W. R., Boeneman, K., Dawson, P. E., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja201919s · Cited by 293
Single Cell Optical Imaging and Spectroscopy
Stender, A. S., Marchuk, K., Liu, C., Sander, S., Meyer, M. W., Smith, E. A., Neupane, B., Wang, G., Li, J., Cheng, J.-X., et al. (2013) · Chemical Reviews · doi:10.1021/cr300336e · Cited by 292
H. R, C., Schiffman, J. D., & Balakrishna, R. G. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2017.11.189 · Cited by 286
Liu, W., Greytak, A. B., Lee, J., Wong, C. R., Park, J., Marshall, L. F., Jiang, W., Curtin, P. N., Ting, A. Y., Nocera, D. G., et al. (2010) · Journal of the American Chemical Society · doi:10.1021/ja908137d · Cited by 278
Self-citationCarbon Dots as an Effective Fluorescent Sensing Platform for Metal Ion Detection
Yoo, D., Park, Y., Cheon, B., & Park, M.-H. (2019) · Nanoscale Research Letters · doi:10.1186/s11671-019-3088-6 · Cited by 266
New Concepts in Synaptic Biology Derived from Single-Molecule Imaging
Triller, A., & Choquet, D. (2008) · Neuron · doi:10.1016/j.neuron.2008.06.022 · Cited by 262
Skajaa, T., Zhao, Y., van den Heuvel, D. J., Gerritsen, H. C., Cormode, D. P., Koole, R., van Schooneveld, M. M., Post, J. A., Fisher, E. A., Fayad, Z. A., et al. (2010) · Nano Letters · doi:10.1021/nl1037903 · Cited by 76
Metadata
- Authors
- Liu, W., Howarth, M., Greytak, A. B., Zheng, Y., Nocera, D. G., Ting, A. Y., & Bawendi, M. G.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-05
- Volume
- 130
- Issue
- 4
- Pages
- 1274-1284
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2021921508
- Cited by
- 612
- References
- 1
- FWCI
- 38.40
- 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
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.
