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Systematic subcellular localization of novel proteins identified by large‐scale cDNA sequencing

Open access
Simpson, Jeremy C, Wellenreuther, Ruth, Poustka, Annemarie, Pepperkok, Rainer, Wiemann, Stefan·2000·EMBO reports

Abstract

As a first step towards a more comprehensive functional characterization of cDNAs than bioinformatic analysis, which can only make functional predictions for about half of the cDNAs sequenced, we have developed and tested a strategy that allows their systematic and fast subcellular localization. We have used a novel cloning technology to rapidly generate N‐ and C‐terminal green fluorescent protein fusions of cDNAs to examine the intracellular localizations of >100 expressed fusion proteins in living cells. The entire analysis is suitable for automation, which will be important for scaling up throughput. For >80% of these new proteins a clear intracellular localization to known structures or organelles could be determined. For the cDNAs where bioinformatic analyses were able to predict possible identities, the localization was able to support these predictions in 75% of cases. For those cDNAs where no homologies could be predicted, the localization data represent the first information.

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Metadata

Authors
Simpson, J. C., Wellenreuther, R., Poustka, A., Pepperkok, R., & Wiemann, S.
Venue
EMBO reports
Published
2000-09
Volume
1
Issue
3
Pages
287-292
ISSN
  • 1469-221X (ISSN-L)
  • 1469-3178
OpenAlex
W2149198894
Cited by
354
References
0
FWCI
11.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Systematic subcellular localization of novel proteins identified by large‐scale cDNA sequencing. https://app.cochat.ai/papers/10.1093/embo-reports/kvd058
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Simpson, J. C., Wellenreuther, R., Poustka, A., Pepperkok, R., & Wiemann, S. (2000). Systematic subcellular localization of novel proteins identified by large‐scale cDNA sequencing. EMBO reports. https://doi.org/10.1093/embo-reports/kvd058

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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