scispace - formally typeset
Search or ask a question
Institution

Applied Biosystems

About: Applied Biosystems is a based out in . It is known for research contribution in the topics: Mass spectrometry & Capillary electrophoresis. The organization has 1521 authors who have published 1579 publications receiving 285423 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: It is found that inactivation of Upf1p and Xrn1p causes common as well as unique effects on protein expression, and the use of 4-fold multiplexing to enable relative protein measurements simultaneously with determination of absolute levels of a target protein using synthetic isobaric peptide standards.

4,411 citations

Journal ArticleDOI
23 Nov 2001-Science
TL;DR: Two genes encode ubiquitin ligases that are potential drug targets for the treatment of muscle atrophy, and mice deficient in either MAFbx orMuRF1 were found to be resistant to atrophy.
Abstract: Skeletal muscle adapts to decreases in activity and load by undergoing atrophy. To identify candidate molecular mediators of muscle atrophy, we performed transcript profiling. Although many genes were up-regulated in a single rat model of atrophy, only a small subset was universal in all atrophy models. Two of these genes encode ubiquitin ligases: Muscle RING Finger 1 (MuRF1), and a gene we designate Muscle Atrophy F-box (MAFbx), the latter being a member of the SCF family of E3 ubiquitin ligases. Overexpression of MAFbx in myotubes produced atrophy, whereas mice deficient in either MAFbx or MuRF1 were found to be resistant to atrophy. These proteins are potential drug targets for the treatment of muscle atrophy.

3,174 citations

Journal ArticleDOI
TL;DR: A single-cell digital gene expression profiling assay with only a single mouse blastomere is described, which detected the expression of 75% more genes than microarray techniques and identified 1,753 previously unknown splice junctions called by at least 5 reads.
Abstract: Next-generation sequencing technology is a powerful tool for transcriptome analysis. However, under certain conditions, only a small amount of material is available, which requires more sensitive techniques that can preferably be used at the single-cell level. Here we describe a single-cell digital gene expression profiling assay. Using our mRNA-Seq assay with only a single mouse blastomere, we detected the expression of 75% (5,270) more genes than microarray techniques and identified 1,753 previously unknown splice junctions called by at least 5 reads. Moreover, 8-19% of the genes with multiple known transcript isoforms expressed at least two isoforms in the same blastomere or oocyte, which unambiguously demonstrated the complexity of the transcript variants at whole-genome scale in individual cells. Finally, for Dicer1(-/-) and Ago2(-/-) (Eif2c2(-/-)) oocytes, we found that 1,696 and 1,553 genes, respectively, were abnormally upregulated compared to wild-type controls, with 619 genes in common.

2,659 citations

Journal ArticleDOI
28 Jun 2007-Nature
TL;DR: A family of miRNAs, miR-34a–c, whose expression reflected p53 status is described, whose encoded genes are direct transcriptional targets of p53, whose induction by DNA damage and oncogenic stress depends on p53 both in vitro and in vivo.
Abstract: A global decrease in microRNA (miRNA) levels is often observed in human cancers, indicating that small RNAs may have an intrinsic function in tumour suppression. To identify miRNA components of tumour suppressor pathways, we compared miRNA expression profiles of wild-type and p53-deficient cells. Here we describe a family of miRNAs, miR-34a-c, whose expression reflected p53 status. Genes encoding miRNAs in the miR-34 family are direct transcriptional targets of p53, whose induction by DNA damage and oncogenic stress depends on p53 both in vitro and in vivo. Ectopic expression of miR-34 induces cell cycle arrest in both primary and tumour-derived cell lines, which is consistent with the observed ability of miR-34 to downregulate a programme of genes promoting cell cycle progression. The p53 network suppresses tumour formation through the coordinated activation of multiple transcriptional targets, and miR-34 may act in concert with other effectors to inhibit inappropriate cell proliferation.

2,658 citations

Journal ArticleDOI
TL;DR: The great variety of conditions under which Fmoc solid phase peptide synthesis may be carried out represents a truly "orthogonal" scheme, and thus offers many unique opportunities for bioorganic chemistry.
Abstract: 9-Fluorenylmethoxycarbonyl (Fmoc) amino acids were first used for solid phase peptide synthesis a little more than a decade ago. Since that time, Fmoc solid phase peptide synthesis methodology has been greatly enhanced by the introduction of a variety of solid supports, linkages, and side chain protecting groups, as well as by increased understanding of solvation conditions. These advances have led to many impressive syntheses, such as those of biologically active and isotopically labeled peptides and small proteins. The great variety of conditions under which Fmoc solid phase peptide synthesis may be carried out represents a truly "orthogonal" scheme, and thus offers many unique opportunities for bioorganic chemistry.

2,336 citations


Authors

Showing all 1521 results

NameH-indexPapersCitations
Richard A. Gibbs172889249708
Friedrich C. Luft113109547619
Alexander N. Glazer7120821068
Vineet Bafna6823642574
Kevin R. Coombes6330823592
Darryl J. Pappin6117029409
Mark D. Johnson6028916103
György Marko-Varga5640912600
Paul Thomas5612844810
Gerald Zon5525611126
Michael W. Hunkapiller5113029756
Bjarni V. Halldorsson5114513180
David H. Hawke501579824
Ellson Y. Chen507128836
Sridhar Hannenhalli4916221959
Network Information
Related Institutions (5)
Genentech
17.1K papers, 1.4M citations

88% related

National Institutes of Health
297.8K papers, 21.3M citations

86% related

Scripps Research Institute
32.8K papers, 2.9M citations

86% related

Hoffmann-La Roche
43K papers, 1.6M citations

85% related

Wellcome Trust Sanger Institute
9.6K papers, 1.2M citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20182
20171
20164
20152
20147
201313