Olli Pentikäinen

Prof. Olli Pentikäinen

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Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 September 2013 in Journal of Chemical Information and Modeling
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Journal Article
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MYMikko Ylilauri
Mikko Ylilauri
OPOlli Pentikäinen
Olli Pentikäinen

1 December 2001 in Journal of Biological Chemistry
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MTMira Tulla
Mira Tulla
OPOlli Pentikäinen
Olli Pentikäinen
TVTiina Viitasalo
Tiina Viitasalo
JKJarmo Käpylä
Jarmo Käpylä
UIUlla Impola
Ulla Impola
JHJyrki Heino
Jyrki Heino
Four integrins, namely α1β1, α2β1, α10β1, and α11β1, form a special subclass of cell adhesion receptors. They are all collagen receptors, and they recognize their ligands with an inserted domain (I domain) in their α subunit. We have produced the human integrin α10I domain as a recombinant protein to reveal its ligand binding specificity. In general, α10I did recognize collagen types I–VI and laminin-1 in a Mg2+-dependent manner, whereas its binding to tenascin was only slightly better than to albumin. When α10I was tested together with the α1I and α2I domains, all three I domains seemed to have their own collagen binding preferences. The integrin α2I domain bound much better to fibrillar collagens (I–III) than to basement membrane type IV collagen or to beaded filament-forming type VI collagen. Integrin α1I had the opposite binding pattern. The integrin α10I domain was similar to the α1I domain in that it bound very well to collagen types IV and VI. Based on the previously published atomic structures of the α1I and α2I domains, we modeled the structure of the α10I domain. The comparison of the three I domains revealed similarities and differences that could potentially explain their functional differences. Mutations were introduced into the αI domains, and their binding to types I, IV, and VI collagen was tested. In the α2I domain, Asp-219 is one of the amino acids previously suggested to interact directly with type I collagen. The corresponding amino acid in both the α1I and α10I domains is oppositely charged (Arg-218). The mutation D219R in the α2I domain changed the ligand binding pattern to resemble that of the α1I and α10I domains and, vice versa, the R218D mutation in the α1I and α10I domains created an α2I domain-like ligand binding pattern. Thus, all three collagen receptors appear to differ in their ability to recognize distinct collagen subtypes. The relatively small structural differences on their collagen binding surfaces may explain the functional specifics.

1 June 2004 in Journal of Computer-Aided Molecular Design
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JLJukka V. Lehtonen
Jukka V. Lehtonen
DSDan-Johan Still
Dan-Johan Still
VRVille-V. Rantanen
Ville-V. Rantanen
JEJan Ekholm
Jan Ekholm
ZIZuhair Iftikhar
Zuhair Iftikhar
TNTommi Nyrönen
Tommi Nyrönen

1 February 2003 in Journal of Biological Chemistry
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WZWan-Ming Zhang
Wan-Ming Zhang
JKJarmo Käpylä
Jarmo Käpylä
JPJ. Santeri Puranen
J. Santeri Puranen
CKC. Graham Knight
C. Graham Knight
CTCarl-Fredrik Tiger
Carl-Fredrik Tiger
Elon Donald GullbergElon Donald Gullberg
Elon Donald Gullberg
The integrins α1β1, α2β1, α10β1, and α11β1 are referred to as a collagen receptor subgroup of the integrin family. Recently, both α1β1 and α2β1integrins have been shown to recognize triple-helical GFOGER (where single letter amino acid nomenclature is used, O = hydroxyproline) or GFOGER-like motifs found in collagens, despite their distinct binding specificity for various collagen subtypes. In the present study we have investigated the mechanism whereby the latest member in the integrin family, α11β1, recognizes collagens using C2C12 cells transfected with α11 cDNA and the bacterially expressed recombinant α11 I domain. The ligand binding properties of α11β1 were compared with those of α2β1. Mg2+-dependent α11β1 binding to type I collagen required micromolar Ca2+ but was inhibited by 1 mmCa2+, whereas α2β1-mediated binding was refractory to millimolar concentrations of Ca2+. The bacterially expressed recombinant α11 I domain preference for fibrillar collagens over collagens IV and VI was the same as the α2 I domain. Despite the difference in Ca2+ sensitivity, α11β1-expressing cells and the α11 I domain bound to helical GFOGER sequences in a manner similar to α2β1-expressing cells and the α2 I domain. Modeling of the α I domain-collagen peptide complexes could partially explain the observed preference of different I domains for certain GFOGER sequence variations. In summary, our data indicate that the GFOGER sequence in fibrillar collagens is a common recognition motif used by α1β1, α2β1, and also α11β1 integrins. Although α10and α11 chains show the highest sequence identity, α2 and α11 are more similar with regard to collagen specificity. Future studies will reveal whether α2β1 and α11β1integrins also show overlapping biological functions.

9 August 2007 in The EMBO Journal
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YLYatish Lad
Yatish Lad
TKTiila Kiema
Tiila Kiema
PJPengju Jiang
Pengju Jiang
OPOlli Pentikäinen
Olli Pentikäinen
CCCharlotte H Coles
Charlotte H Coles
JYJari Ylänne
Jari Ylänne
Human filamins are large actin‐crosslinking proteins composed of an N‐terminal actin‐binding domain followed by 24 Ig‐like domains (IgFLNs), which interact with numerous transmembrane receptors and cytosolic signaling proteins. Here we report the 2.5 Å resolution structure of a three‐domain fragment of human filamin A (IgFLNa19–21). The structure reveals an unexpected domain arrangement, with IgFLNa20 partially unfolded bringing IgFLNa21 into close proximity to IgFLNa19. Notably the N‐terminus of IgFLNa20 forms a β‐strand that associates with the CD face of IgFLNa21 and occupies the binding site for integrin adhesion receptors. Disruption of this IgFLNa20–IgFLNa21 interaction enhances filamin binding to integrin β‐tails. Structural and functional analysis of other IgFLN domains suggests that auto‐inhibition by adjacent IgFLN domains may be a general mechanism controlling filamin–ligand interactions. This can explain the increased integrin binding of filamin splice variants and provides a mechanism by which ligand binding might impact filamin structure.

7 September 2016 in Journal of Cheminformatics
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SLSakari Lätti
Sakari Lätti
SNSanna Niinivehmas
Sanna Niinivehmas
OPOlli Pentikäinen
Olli Pentikäinen
Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also includes an automatic calculation of the AUC for the ROC curve and Boltzmann-enhanced discrimination of ROC (BEDROC). Furthermore, in virtual screening campaigns it is often important to understand the early enrichment of active ligand identification, for this Rocker offers automated calculation routine. To enable further development of Rocker, it is freely available (MIT-GPL license) for use and modifications from our web-site ( http://www.jyu.fi/rocker ).