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Proteomics

About: Proteomics is a(n) research topic. Over the lifetime, 15956 publication(s) have been published within this topic receiving 696879 citation(s).

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Papers
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Journal ArticleDOI: 10.1007/BF02712670
Abstract: The topic of this report is rap,d m,croscale methods for ,solat,on of plant D N A without tile use of ul tracentr ,fugatlon wEth CsCI. The D N A produced ,s of moderately high molecular weight and serves as a satisfactory substrate for most restrlctum cndonucleases and is statable for genom,c blot analys,s. In addi t ion to the rapidi ty and convenience of mlmpreps which permit a large number of samples to be processed in just a few hours, the small amount of tissue reqmred (less than 1.0 grams) allows tbr molecular analysis of plants at a very young stage Mm,prep D N A y,elds from leaf tissue of most species tested to date are typ,cally 30-100 big per gram tissue, greater than 50 kb, and remarkably uniform from sample to sample. The first mmlprep procedure we reported fi3r maize D N A isolation (Dellaporta et al , ;'*l,;tze Geneta3 Cr162162 Neu'_~letlrt. 1983) was adapted from a procedure commonly used for }'east D N A preparatmn (Dav,s et al. , 1980) Since th,s report, numerous personal commun,cat ,ons have demonstrated that the mm,prep procedure or a modification thereof, can be apphed to most plant species tested. For example, the method has been successfully used on Ntcottana hlgl~um. N. plumklgmgidtum. N. 3)/t'eJtrt~. L)s~opertcum sp.. Amar,mthm sp . Gl)~me max. Petuma h.~hra&. Several modifications have been apphed by these ,nvestlgators and in our own laboratory m order to extend the appl ,catmn of ram,prep procedures to other plant species. The select,on of a part icular protocol depends to a large degree on the plant spec,es used. However, the procedure reported here was selected to be statable for most situations.

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Topics: Proteomics (50%)

7,012 Citations


Journal ArticleDOI: 10.1038/NATURE01511
Ruedi Aebersold1, Matthias Mann2Institutions (2)
13 Mar 2003-Nature
Abstract: Recent successes illustrate the role of mass spectrometry-based proteomics as an indispensable tool for molecular and cellular biology and for the emerging field of systems biology. These include the study of protein-protein interactions via affinity-based isolations on a small and proteome-wide scale, the mapping of numerous organelles, the concurrent description of the malaria parasite genome and proteome, and the generation of quantitative protein profiles from diverse species. The ability of mass spectrometry to identify and, increasingly, to precisely quantify thousands of proteins from complex samples can be expected to impact broadly on biology and medicine.

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Topics: Proteomics (62%), Proteome (58%), Mass spectrometry data format (57%) ...read more

6,305 Citations


Open accessJournal ArticleDOI: 10.1038/35075138
03 May 2001-Nature
Abstract: The most highly connected proteins in the cell are the most important for its survival. Proteins are traditionally identified on the basis of their individual actions as catalysts, signalling molecules, or building blocks in cells and microorganisms. But our post-genomic view is expanding the protein's role into an element in a network of protein–protein interactions as well, in which it has a contextual or cellular function within functional modules1,2. Here we provide quantitative support for this idea by demonstrating that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.

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Topics: Biological network (54%), Human interactome (54%), Saccharomyces cerevisiae (51%) ...read more

4,800 Citations


Journal ArticleDOI: 10.1038/85686
Abstract: We describe a largely unbiased method for rapid and large-scale proteome analysis by multidimensional liquid chromatography, tandem mass spectrometry, and database searching by the SEQUEST algorithm, named multidimensional protein identification technology (MudPIT). MudPIT was applied to the proteome of the Saccharomyces cerevisiae strain BJ5460 grown to mid-log phase and yielded the largest proteome analysis to date. A total of 1,484 proteins were detected and identified. Categorization of these hits demonstrated the ability of this technology to detect and identify proteins rarely seen in proteome analysis, including low-abundance proteins like transcription factors and protein kinases. Furthermore, we identified 131 proteins with three or more predicted transmembrane domains, which allowed us to map the soluble domains of many of the integral membrane proteins. MudPIT is useful for proteome analysis and may be specifically applied to integral membrane proteins to obtain detailed biochemical information on this unwieldy class of proteins.

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Topics: Proteome (65%), Proteomics (55%), Integral membrane protein (55%) ...read more

4,699 Citations


Journal ArticleDOI: 10.1038/NATURE02026
Won-Ki Huh1, James V. Falvo1, Luke C. Gerke1, Adam S. Carroll1  +3 moreInstitutions (1)
16 Oct 2003-Nature
Abstract: A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular environment. Here we describe the construction and analysis of a collection of yeast strains expressing full-length, chromosomally tagged green fluorescent protein fusion proteins. We classify these proteins, representing 75% of the yeast proteome, into 22 distinct subcellular localization categories, and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization data set in the context of transcriptional, genetic, and protein-protein interaction data helps reveal the logic of transcriptional co-regulation, and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.

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Topics: Protein subcellular localization prediction (60%), Proteome (55%), Proteomics (53%) ...read more

4,071 Citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202210
2021826
2020793
2019808
2018697
2017812

Top Attributes

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Topic's top 5 most impactful authors

Matthias Mann

173 papers, 54.8K citations

Ruedi Aebersold

111 papers, 26.2K citations

Richard D. Smith

89 papers, 7.2K citations

John R. Yates

67 papers, 13.9K citations

Albert J. R. Heck

42 papers, 2.6K citations

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