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Cited by 387

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Counting Low-Copy Number Proteins in a Single Cell

Huang, Bo, Wu, Hongkai, Bhaya, Devaki, Grossman, Arthur, Granier, Sebastien, Kobilka, Brian K., Zare, Richard N.·2007·Science

Abstract

We have designed a microfluidic device in which we can manipulate, lyse, label, separate, and quantify the protein contents of a single cell using single-molecule fluorescence counting. Generic labeling of proteins is achieved through fluorescent-antibody binding. The use of cylindrical optics enables high-efficiency (≈60%) counting of molecules in micrometer-sized channels. We used this microfluidic device to quantify β 2 adrenergic receptors expressed in insect cells (SF9). We also analyzed phycobiliprotein contents in individual cyanobacterial cells ( Synechococcus sp. PCC 7942) and observed marked differences in the levels of specific complexes in cell populations that were grown under nitrogen-depleted conditions.

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Crossref · 10.1126/science.1133992

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Metadata

Authors
Huang, B., Wu, H., Bhaya, D., Grossman, A., Granier, S., Kobilka, B. K., & Zare, R. N.
Venue
Science
Published
2007-01-05
Volume
315
Issue
5808
Pages
81-84
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1974511084
Cited by
387
References
3
FWCI
30.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Counting Low-Copy Number Proteins in a Single Cell. https://app.cochat.ai/papers/10.1126/science.1133992
The paper
Huang, B., Wu, H., Bhaya, D., Grossman, A., Granier, S., Kobilka, B. K., & Zare, R. N. (2007). Counting Low-Copy Number Proteins in a Single Cell. Science. https://doi.org/10.1126/science.1133992

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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.