The role of members of the pertussis toxin-sensitive family of G proteins in coupling receptors to the activation of the G protein-gated inwardly rectifying potassium channel

Inwardly rectifying potassium (K+) channels gated by G proteins (Kir3.x family) are widely distributed in neuronal, atrial, and endocrine tissues and play key roles in generating late inhibitory postsynaptic potentials, slowing the heart rate and modulating hormone release. They are directly activated by G��γ subunits released from G protein heterotrimers of the Gi/o family upon appropriate receptor stimulation. Here we examine the role of isoforms of pertussis toxin (PTx)-sensitive G protein α subunits (Giα1–3 and GoαA) in mediating coupling between various receptor systems (A1, α2A, D2S, M4, GABAB1a+2, and GABAB1b+2) and the cloned counterpart of the neuronal channel (Kir3.1+3.2A). The expression of mutant PTx-resistant Gi/oα subunits in PTx-treated HEK293 cells stably expressing Kir3.1+3.2A allows us to selectively investigate that coupling. We find that, for those receptors (A1, α2A) known to interact with all isoforms, Giα1–3 and GoαA can all support a significant degree of coupling to Kir3.1+3.2A. The M4 receptor appears to preferentially couple to Giα2 while another group of receptors (D2S, GABAB1a+2, GABAB1b+2) activates the channel predominantly through G��γ liberated from GoA heterotrimers. Interestingly, we have also found a distinct difference in G protein coupling between the two splice variants of GABAB1. Our data reveal selective pathways of receptor activation through different Gi/oα isoforms for stimulation of the G protein-gated inwardly rectifying K+ channel.

The human brm protein is cleaved during apoptosis: The role of cathepsin G

The human brm (hbrm) protein (homologue of the Drosophila melanogaster brahma and Saccharomyces cervisiae SNF-2 proteins) is part of a polypeptide complex believed to regulate chromatin conformation. We have shown that the hbrm protein is cleaved in NB4 leukemic cells after induction of apoptosis by UV-irradiation, DNA damaging agents, or staurosporine. Because hbrm is found only in the nucleus, we have investigated the nature of the proteases that may regulate the degradation of this protein during apoptosis. In an in vitro assay, the hbrm protein could not be cleaved by caspase-3, -7, or -6, the “effector” caspases generally believed to carry out the cleavage of nuclear protein substrates. In contrast, we find that cathepsin G, a granule enzyme found in NB4 cells, cleaves hbrm in a pattern similar to that observed in vivo during apoptosis. In addition, a peptide inhibitor of cathepsin G blocks hbrm cleavage during apoptosis but does not block activation of caspases or cleavage of the nuclear protein polyADP ribose polymerase (PARP). Although localized in granules and in the Golgi complex in untreated cells, cathepsin G becomes diffusely distributed during apoptosis. Cleavage by cathepsin G removes a 20-kDa fragment containing a bromodomain from the carboxyl terminus of hbrm. This cleavage disrupts the association between hbrm and the nuclear matrix; the 160-kDa hbrm cleavage fragment is less tightly associated with the nuclear matrix than full-length hbrm.

Statement from Andrew Boardman to Harvard College, 1745-1764, 19 September 1764

Statement of Andrew Boardman III's account with Harvard College for the years 1745 to 1764.

Nomination of John Andrew Koskinen, : hearing before the Committee on Governmental Affairs, United States Senate, One Hundred Third Congress, second session, on nomination of John Andrew Koskinen, to be Deputy Director for management, Office of Management and Budget June 30, 1994.

Shipping list no.: 95-0021-P.

Andrew Johnson papers [microform].

Letters received,copies of letters sent,messages and speeches,courts-martial and amnesty records,diaries (including typed transcripts of the shorthand volumes) of William G.Moore,Johnson's secretary,business records of Johnson's tailor shop and other business affairs (1829-60), and records of Johnson's activities as Military Governor of Tennessee. Correspond- ...

Party leaders; sketches of Thomas Jefferson, Alex'r Hamilton, Andrew Jackson, Henry Clay, John Randolph, of Roanoke, including notices of many other distinguished American statesmen.

Mode of access: Internet.

Memorial addresses on the life and character of Andrew Johnson : (a senator from Tennessee) : delivered in the Senate and House of Representatives, January 12, 1876.

"Published by order of Congress."

Present perspectives on the automated classification of the G-protein coupled receptors (GPCRs) at the protein sequence level

The G-protein coupled receptors--or GPCRs--comprise simultaneously one of the largest and one of the most multi-functional protein families known to modern-day molecular bioscience. From a drug discovery and pharmaceutical industry perspective, the GPCRs constitute one of the most commercially and economically important groups of proteins known. The GPCRs undertake numerous vital metabolic functions and interact with a hugely diverse range of small and large ligands. Many different methodologies have been developed to efficiently and accurately classify the GPCRs. These range from motif-based techniques to machine learning as well as a variety of alignment-free techniques based on the physiochemical properties of sequences. We review here the available methodologies for the classification of GPCRs. Part of this work focuses on how we have tried to build the intrinsically hierarchical nature of sequence relations, implicit within the family, into an adaptive approach to classification. Importantly, we also allude to some of the key innate problems in developing an effective approach to classifying the GPCRs: the lack of sequence similarity between the six classes that comprise the GPCR family and the low sequence similarity to other family members evinced by many newly revealed members of the family.

On the hierarchical classification of G protein-coupled receptors

MOTIVATION: G protein-coupled receptors (GPCRs) play an important role in many physiological systems by transducing an extracellular signal into an intracellular response. Over 50% of all marketed drugs are targeted towards a GPCR. There is considerable interest in developing an algorithm that could effectively predict the function of a GPCR from its primary sequence. Such an algorithm is useful not only in identifying novel GPCR sequences but in characterizing the interrelationships between known GPCRs. RESULTS: An alignment-free approach to GPCR classification has been developed using techniques drawn from data mining and proteochemometrics. A dataset of over 8000 sequences was constructed to train the algorithm. This represents one of the largest GPCR datasets currently available. A predictive algorithm was developed based upon the simplest reasonable numerical representation of the protein's physicochemical properties. A selective top-down approach was developed, which used a hierarchical classifier to assign sequences to subdivisions within the GPCR hierarchy. The predictive performance of the algorithm was assessed against several standard data mining classifiers and further validated against Support Vector Machine-based GPCR prediction servers. The selective top-down approach achieves significantly higher accuracy than standard data mining methods in almost all cases.