Evidence map›Paper›PMID 26517842›Full record

ArticlePloS one2015

Client Proteins and Small Molecule Inhibitors Display Distinct Binding Preferences for Constitutive and Stress-Induced HSP90 Isoforms and Their Conformationally Restricted Mutants.

Thomas L Prince, Toshiki Kijima, Manabu Tatokoro, Sunmin Lee, Shinji Tsutsumi, Kendrick Yim, Candy Rivas, Sylvia Alarcon, Harvey Schwartz, Kofi Khamit-Kush and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 58 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Thomas L PrinceUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Toshiki KijimaUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Manabu TatokoroUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Sunmin LeeDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Shinji TsutsumiUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Kendrick YimUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Candy RivasUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Sylvia AlarconDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Harvey SchwartzUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Kofi Khamit-KushUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Bradley T ScrogginsRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Kristin BeebeUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Jane B TrepelDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Len NeckersUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
National Cancer Institute · USNational Institutes of Health · USCenter for Cancer Research · US

Funding

Role of HSP90 Family Chaperone Proteins in Cellular Signal TransductionZIASC010074 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI NECKERS, LEONARD · 2009 to 2025
$13.3M
Post-translational modifications of Hsp90 that impact drug efficacyZIABC011032 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NECKERS, LEONARD · 2009 to 2025
$11.5M
ROLE OF HSP90/GFP94 CHAPERONE PROTEINS IN CELLULAR SIGNAL TRANSDUCTIONZ01SC010074 · SC · DIVISION OF CLINICAL SCIENCES - NCI · PI NECKERS, LEONARD · 1996 to 2008
$3.7M
Post-translational modifications of Hsp90 that impact drug efficacyZ01BC011032 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NECKERS, LEONARD · 2008 to 2008
$664k
Intramural NIH HHS Z01 BC011032Intramural NIH HHS Z01 SC010074NCI NIH HHS Z01 BC011032-01NCI NIH HHS Z01 SC010074-12
6 · The paper itself

Abstract

The two cytosolic/nuclear isoforms of the molecular chaperone HSP90, stress-inducible HSP90α and constitutively expressed HSP90β, fold, assemble and maintain the three-dimensional structure of numerous client proteins. Because many HSP90 clients are important in cancer, several HSP90 inhibitors have been evaluated in the clinic. However, little is known concerning possible unique isoform or conformational preferences of either individual HSP90 clients or inhibitors. In this report, we compare the relative interaction strength of both HSP90α and HSP90β with the transcription factors HSF1 and HIF1α, the kinases ERBB2 and MET, the E3-ubiquitin ligases KEAP1 and RHOBTB2, and the HSP90 inhibitors geldanamycin and ganetespib. We observed unexpected differences in relative client and drug preferences for the two HSP90 isoforms, with HSP90α binding each client protein with greater apparent affinity compared to HSP90β, while HSP90β bound each inhibitor with greater relative interaction strength compared to HSP90α. Stable HSP90 interaction was associated with reduced client activity. Using a defined set of HSP90 conformational mutants, we found that some clients interact strongly with a single, ATP-stabilized HSP90 conformation, only transiently populated during the dynamic HSP90 chaperone cycle, while other clients interact equally with multiple HSP90 conformations. These data suggest different functional requirements among HSP90 clientele that, for some clients, are likely to be ATP-independent. Lastly, the two inhibitors examined, although sharing the same binding site, were differentially able to access distinct HSP90 conformational states.

Indexed as

MutationAdenosine TriphosphateAmino Acid SequenceBenzoquinonesBinding SitesDNA-Binding ProteinsErb-b2 Receptor Tyrosine KinasesGTP-Binding ProteinsHeat Shock Transcription FactorsHEK293 CellsHSP90 Heat-Shock ProteinsHumansHypoxia-Inducible Factor 1, alpha SubunitIntracellular Signaling Peptides and ProteinsKelch-Like ECH-Associated Protein 1Lactams, MacrocyclicAdenosine TriphosphateBenzoquinonesDNA-Binding ProteinsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesgeldanamycinGTP-Binding ProteinsHeat Shock Transcription FactorsHSF1 protein, humanHSP90 Heat-Shock ProteinsHypoxia-Inducible Factor 1, alpha SubunitIntracellular Signaling Peptides and ProteinsKEAP1 protein, humanKelch-Like ECH-Associated Protein 1Lactams, MacrocyclicProtein IsoformsProtein Kinase InhibitorsRHOBTB2 protein, humanSTA 9090Transcription FactorsTriazolesTumor Suppressor Proteins

Identifiers

PMID26517842
PMCPMC4627809
OpenAlexW1858596856

What OpenQuestion holds

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LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.