Literature DB >> 2307232

Further studies on the human pancreatic binary complexes involving procarboxypeptidase A.

M Moulard1, T Michon, B Kerfelec, C Chapus.   

Abstract

In contrast to procarboxypeptidase B which has always been reported to be secreted by the pancreas as a monomer, procarboxypeptidase A occurs as a monomer and/or associated to one or two functionally different proteins, depending on the species. Recent studies showed that, in the human pancreatic secretion, procarboxypeptidase A is mainly secreted as a 44 kDa protein involved in at least three different binary complexes. As previously reported, two of these complexes associated procarboxypeptidase A to either a glycosylated truncated protease E or zymogen E. In this paper, we identified proelastase 2 as the partner of procarboxypeptidase A in the third complex, thus reporting for the first time the occurrence of a proelastase 2/procarboxypeptidase A binary complex in vertebrates. Moreover, from N-terminal sequence analyses, the 44 kDa procarboxypeptidase A involved in these complexes was identified as being of the A1 type. Only one type of procarboxypeptidase B, the B1 type, has been detected in the analyzed pancreatic juices, thus emphasizing the previously observed genetic differences between individuals.

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Year:  1990        PMID: 2307232     DOI: 10.1016/0014-5793(90)80665-6

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  2 in total

1.  Complex Formation of Human Proelastases with Procarboxypeptidases A1 and A2.

Authors:  András Szabó; Claudia Pilsak; Melinda Bence; Heiko Witt; Miklós Sahin-Tóth
Journal:  J Biol Chem       Date:  2016-06-29       Impact factor: 5.157

2.  Genetic Analysis of Human Chymotrypsin-Like Elastases 3A and 3B (CELA3A and CELA3B) to Assess the Role of Complex Formation between Proelastases and Procarboxypeptidases in Chronic Pancreatitis.

Authors:  Andrea Párniczky; Eszter Hegyi; Anna Zsófia Tóth; Ákos Szücs; Andrea Szentesi; Áron Vincze; Ferenc Izbéki; Balázs Csaba Németh; Péter Hegyi; Miklós Sahin-Tóth
Journal:  Int J Mol Sci       Date:  2016-12-20       Impact factor: 5.923

  2 in total

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