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Institution

Torrey Pines Institute for Molecular Studies

NonprofitSan Diego, California, United States
About: Torrey Pines Institute for Molecular Studies is a nonprofit organization based out in San Diego, California, United States. It is known for research contribution in the topics: Antigen & T cell. The organization has 2323 authors who have published 2217 publications receiving 112618 citations.


Papers
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Journal ArticleDOI
TL;DR: Biophysical methods use biophysical methods to study the complex formed between the MMP-1 HPX domain and a synthetic triple helical peptide (THP) that encompasses the M MP-1 cleavage site of the collagen α1(I) chain to find a balanced equilibrium between these compact and dislocated states.

50 citations

Journal ArticleDOI
TL;DR: FISH-quant accurately quantified nascent mRNA even when simple approaches did not, which illustrates the importance of accurate quantification even for endogenous genes.
Abstract: properties of transcription2,6 (Supplementary Note 4). To validate these methods, we first used simulations (Supplementary Note 5). For transcription sites smaller than the optical resolution, all methods yielded accurate estimates. However, for larger transcription sites, the simple methods led to gross underestimates, whereas FISH-quant gave accurate results (Fig. 1e). For elongated transcription sites, only the PSF superposition approach worked reliably. For experimental validation, we used an artificial reporter with transcription sites frequently exceeding the resolution. An RNase protection assay provided a rough, but independent, estimate of the ratio of mature versus nascent mRNA. The assay yielded ratios in the same range as the FISH-based quantifications, confirming their general validity (Supplementary Note 6 and Supplementary Methods). For a more accurate assessment of simple methods and FISH-quant, we then compared the nascent transcript counts. Much as for the large simulated transcription sites, the simple methods led to underestimated counts (Fig. 1f). Thus, FISH-quant accurately quantified nascent mRNA even when simple approaches did not. Finally, we used FISH-quant to analyze b-actin mRNA after serum induction and measured more than twice the amount of nascent mRNA than we did with simple methods, which illustrates the importance of accurate quantification even for endogenous genes (Supplementary Note 6 and Supplementary Methods). FISH-quant could also be applied to other structures with a dense accumulation of mRNA, such as processing (P)-bodies or stress granules. FISH-quant is controlled via graphical user interfaces in Matlab and requires no computational expertise. A batch mode allows users to automatically process multiple images. FISH-quant is available at http://code.google.com/p/fish-quant/ with a detailed manual and test data.

50 citations

Journal ArticleDOI
TL;DR: To elucidate the role of lipid in Rab recycling, the crystal structure of Rab guanine nucleotide dissociation inhibitor (alphaGDI) in complex with a geranylgeranyl (GG) ligand (H(2)N-Cys-(S-GG)-OMe) is determined.

50 citations

Journal ArticleDOI
TL;DR: The results call into question a long accepted theory regarding the interaction of chymotrypsin family serine proteases with substrates and suggest that the canonical interactions observed between these enzymes and standard inhibitors may represent nonproductive rather than productive, substrate-like interactions.

50 citations

Journal ArticleDOI
TL;DR: The growth effects of KGN appear to result from its ability to boost several key signaling pathways and in particular TGFβ signaling, working in addition to and/or in concert with the filamin A/CBFβ/RUNX1 pathway the authors identified previously to orchestrate overall limb development.

50 citations


Authors

Showing all 2327 results

NameH-indexPapersCitations
Eric J. Topol1931373151025
John R. Yates1771036129029
George F. Koob171935112521
Ian A. Wilson15897198221
Peter G. Schultz15689389716
Gerald M. Edelman14754569091
Floyd E. Bloom13961672641
Stuart A. Lipton13448871297
Benjamin F. Cravatt13166661932
Chi-Huey Wong129122066349
Klaus Ley12949557964
Nicholas J. Schork12558762131
Michael Andreeff11795954734
Susan L. McElroy11757044992
Peter E. Wright11544455388
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202210
202153
202060
201950
201842