scholarly journals Localization of the multifunctional protein CAD in astrocytes of rodent brain.

1991 ◽  
Vol 39 (5) ◽  
pp. 695-700 ◽  
Author(s):  
W Cammer ◽  
M Downing
Keyword(s):  
Carbonic Anhydrase ◽  
Glutamine Synthetase ◽  
Active Sites ◽  
De Novo ◽  
Third Ventricle ◽  
Aspartate Transcarbamylase ◽  
Multifunctional Protein ◽  
Normal Rat ◽  
Myelin Deficient ◽  
In Cells

The CAD multidomain protein, which includes active sites of carbamyl phosphate synthetase II (CPS II, glutamine-dependent), aspartate transcarbamylase, and dihydroorotase, was immunostained in normal rat brains, the gliotic brains of myelin-deficient mutant rats, and brains from normal weanling hamsters. In each of these tissues CAD was observed in cells resembling astrocytes. In hamster brain, CAD immunofluorescence was also found in cells closely related to astrocytes, i.e., the Bergmann glia in cerebellum and the tanycytes surrounding the third ventricle. The astrocytic identity of the CAD-positive cells in rat brain was confirmed by double immunofluorescence staining with antibodies against glial fibrillary acidic protein (GFAP). The two enzymes carbonic anhydrase and glutamine synthetase occur in the cytoplasm of normal astrocytes in gray matter and of reactive astrocytes during gliosis. Products of each enzyme, i.e., bicarbonate and glutamine, are required for the CPS II reaction, which is the first step in the biosynthesis of pyrimidines. Therefore, the present results suggest roles for carbonic anhydrase and glutamine synthetase, as well as CAD, in pyrimidine biosynthesis in brain and a role for the astrocytes in the de novo synthesis of pyrimidines.

Pyrimidine biosynthesis in Saccharomyces cerevisiae: the ura2 cluster gene, its multifunctional enzyme product, and other structural or regulatory genes involved in de novo UMP synthesis

1989 ◽  
Vol 67 (9) ◽  
pp. 612-631 ◽  
Author(s):  
Michèle Denis-Duphil
Keyword(s):  
Saccharomyces Cerevisiae ◽  
De Novo ◽  
Regulatory Gene ◽  
The Other ◽  
Transcriptional Level ◽  
Aspartate Transcarbamylase ◽  
Multifunctional Protein ◽  
Multifunctional Enzyme ◽  
Pathway Gene

There are six enzymatic steps in the de novo biosynthesis of uridine monophosphate (UMP). In yeast, six structural genes (ura2, ura4, ura1, ura5, ura10, and ura3) and one regulatory gene (PPR1) are involved in this metabolic pathway. Gene ura2 codes for a multifunctional protein that carries the first two enzymatic activities of the pathway, i.e., carbamylphosphate synthetase (CPSase) and aspartate transcarbamylase (ATCase). Gene ura2 has been cloned and sequenced, revealing the presence of three open reading frames, one of which codes for the multifunctional protein, a polypeptide of 2212 amino acids, with a mRNA of 7 ± 0.3 kilobases. Expression of gene ura2 is regulated at the transcriptional level. As I indicate here, it could also be controlled at the posttranscriptional level since all the consensus sequences for a 1.2-kilobases intron are present in the coding sequence of the open reading frame. The deducted amino acid sequence has allowed the identification of four domains. Starting from the amino terminus of the protein, these are glutamine amido transferase, CPSase, a domain that resembles dihydroorotase (DHOase-like) but does not have DHOase activity, and ATCase. There are also two sites of interest that match known concensus phosphorylation sites; one is located in the distal part of the CPSase domain, the other in the connector region between DHOase-like and ATCase domains. The protein has been purified as a multienzyme aggregate and as a multifunctional protein. The latter form, when isolated from a protease B deficient strain of Saccharomyces cerevisiae, contained mostly polypeptide chains of 220 kilodaltons. Work is currently in progress to determine the site(s) of phosphorylation of this protein in vitro. ATCase activity of both wild-type and protease-deficient strains has been found to be localized in the nucleus. Channeling of carbamyl phosphate, the first intermediate in the pathway, has been demonstrated both in vitro and in permeabilized cells. The other genes of UMP biosynthesis, except for ura5, are regulated by induction of their transcription by the combined action of the product of the ppr1 gene and the inducer, dihydroorotate. Dihydroorotate dehydrogenase activity was found in the cytoplasm. Two isoenzymes of orotate phosphoribosyl transferase have been found, coded for by ura5 and ura10. The products of genes ura10 and ura3 are proposed to participate in the channeling of orotidine monophosphate. The discussion considers the problem posed by the isolation of both multienzyme complexes and multifunctional proteins resulting from the expression of the same cluster genes. I suggest that regulation by processing at the posttranscriptional and posttranslational levels could be regarded as an alternative explanation for these observations, which were previously explained in terms of proteolysis.Key words: yeast, pyrimidines, multifunctional enzyme, phosphorylation, proteolysis.

Revisiting staining of biological samples for electron microscopy: perspectives for recent research

2021 ◽  
Author(s):  
Maren T. Kuchenbrod ◽  
Ulrich S. Schubert ◽  
Rainer Heintzmann ◽  
Stephanie Hoeppener
Keyword(s):  
Electron Microscopy ◽  
Biological Samples ◽  
Active Sites ◽  
In Cells

This review revisits staining protocols for electron microscopy focussing on the visualization of active sites, i.e. enzymes, metabolites or proteins, in cells and tissues, which were never established as standard protocols in electron microscopy.

scholarly journals Machine learning differentiates enzymatic and non-enzymatic metals in proteins

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ryan Feehan ◽  
Meghan W. Franklin ◽  
Joanna S. G. Slusky
Keyword(s):  
Machine Learning ◽  
Metal Binding ◽  
Binding Sites ◽  
Active Sites ◽  
De Novo ◽  
Enzyme Design ◽  
Metal Binding Sites ◽  
Ensemble Machine Learning ◽  
Machine Learning Model ◽  
Physicochemical Features

AbstractMetalloenzymes are 40% of all enzymes and can perform all seven classes of enzyme reactions. Because of the physicochemical similarities between the active sites of metalloenzymes and inactive metal binding sites, it is challenging to differentiate between them. Yet distinguishing these two classes is critical for the identification of both native and designed enzymes. Because of similarities between catalytic and non-catalytic  metal binding sites, finding physicochemical features that distinguish these two types of metal sites can indicate aspects that are critical to enzyme function. In this work, we develop the largest structural dataset of enzymatic and non-enzymatic metalloprotein sites to date. We then use a decision-tree ensemble machine learning model to classify metals bound to proteins as enzymatic or non-enzymatic with 92.2% precision and 90.1% recall. Our model scores electrostatic and pocket lining features as more important than pocket volume, despite the fact that volume is the most quantitatively different feature between enzyme and non-enzymatic sites. Finally, we find our model has overall better performance in a side-to-side comparison against other methods that differentiate enzymatic from non-enzymatic sequences. We anticipate that our model’s ability to correctly identify which metal sites are responsible for enzymatic activity could enable identification of new enzymatic mechanisms and de novo enzyme design.

Differential expression of TNF-α, IL-6, and IGF-1 by graded mechanical stress in normal rat myocardium

2002 ◽  
Vol 282 (3) ◽  
pp. H926-H934 ◽  
Author(s):  
Emiliano A. Palmieri ◽  
Giulio Benincasa ◽  
Francesca Di Rella ◽  
Cosma Casaburi ◽  
Maria G. Monti ◽  
...  
Keyword(s):  
Time Course ◽  
De Novo ◽  
Mechanical Stretch ◽  
Progressive Increase ◽  
Compensatory Hypertrophy ◽  
Current Data ◽  
Rat Myocardium ◽  
Tnf Α ◽  
Normal Rat ◽  
Necrosis Factor

An isovolumic normal rat heart Langendorff model was used to examine the effects of moderate (15 mmHg) and severe (35 mmHg) mechanical stretch on the time course (from 0 to 60 min) of myocardial expression of tumor necrosis factor (TNF)-α, interleukin (IL)-6, and insulin-like growth factor (IGF)-1 and their cognate receptors. After 10 min of moderate stretch, TNF-α was de novo expressed, whereas constitutive IL-6 and IGF-1 levels were slightly upregulated; no further changes occurred up to 60 min. In comparison, severe stretch resulted in a higher and progressive increase in TNF-α, IL-6, and IGF-1 expression up to 20 min. After 20 min, whereas TNF-α expression further increased, IL-6 and IGF-1 levels progressively reduced to values lower than those observed under moderate stretch and in unstretched (5 mmHg) control myocardium (IL-6). Mechanical stretch did not significantly alter the expression of the cognate receptors. Indeed, the TNF-α receptor (p55) tended to be progressively upregulated under severe stretch over time. The current data provide the first demonstration that TNF-α, IL-6, and IGF-1 ligand-receptor systems are differentially expressed within the normal rat myocardium in response to graded mechanical stretch. Such findings may have potential implications with regard to compensatory hypertrophy and failure.

Transcriptional regulation of the human CAD gene during myeloid differentiation

1987 ◽  
Vol 7 (5) ◽  
pp. 1961-1966
Author(s):  
G N Rao ◽  
E S Buford ◽  
J N Davidson
Keyword(s):  
Gene Expression ◽  
De Novo ◽  
Morphological Changes ◽  
Transcriptional Level ◽  
Carbamoyl Phosphate ◽  
Aspartate Transcarbamylase ◽  
Trans Retinoic Acid ◽  
Beta Actin ◽  
Cad Gene ◽  
Cad Protein

CAD codes for a trifunctional protein involved in the catalysis of the first three enzymatic activities in the de novo pyrimidine biosynthetic pathway, namely, carbamoyl-phosphate synthetase II (EC 6.3.5.5), aspartate transcarbamylase (EC 2.1.3.2), and dihydroorotase (EC 3.5.2.3). CAD regulation was studied in the human promyelocyte leukemic line HL-60 as it differentiated into monocytic or granulocytic lineages after induction by 12-O-tetradecanoylphorbol-13-acetate or trans-retinoic acid and dibutyryl cyclic AMP, respectively. Within 12 h of induction of HL-60 cells with either inducer, total cellular levels of CAD RNA essentially disappeared. On the other hand, no apparent decreases in beta-actin RNA levels were seen even 48 h after HL-60 cells were induced, as compared with untreated cells. With nuclear runoff assays, it was clearly shown that the inactivation of CAD gene expression during the induction of HL-60 cells with either inducer was at the transcriptional level. The nuclear runoff experiments also demonstrated that the CAD gene expression was shut down in less than 4 h after induction, well before morphological changes were observed in these cells. At the enzymatic level, the activity of aspartate transcarbamylase, one of the three enzymes encoded by the CAD gene, decreased by about half within 24 h of induction, suggesting a CAD protein half-life of 24 h in differentiating HL-60 cells. Nevertheless, this means that significant levels of aspartate transcarbamylase activity remained even after the cells have stopped proliferating. From the RNA data, it is clear that CAD gene expression is rapidly turned off as promyelocytes begin to terminally differentiate into macrophages and granulocytes. We suspect that the inactivation of the CAD gene in induced HL-60 cells is a consequence of the differentiating cells leaving the cell cycle and becoming nonproliferating.

scholarly journals An In-Silico Approach for Designing a Potential Antagonistic Molecule Targeting β2-adrenoreceptor Having Therapeutic Significance

2020 ◽  
Vol 10 (2) ◽  
pp. 2063-2069
Keyword(s):  
Drug Discovery ◽  
In Silico ◽  
Active Sites ◽  
De Novo ◽  
Cellular Level ◽  
Ligand Molecule ◽  
Best Fitting ◽  
Β2 Adrenergic Receptor ◽  
External Stimuli ◽  
G Protein Coupled

One of the largest families of membrane proteins, the G protein-coupled receptors (GPCRs) has been a very important target of drug discovery as they are involved in having a regulatory role in a variety of signaling pathways at the cellular level in response to external stimuli. Modern in-silico and crystallographic approaches have further made it easier to peep into their structures. In this study, β2 adrenergic receptor (β2AR) has been targeted, and a new ligand molecule using the de-novo approach has been proposed. Using 1-Amino-3-(2,3-dihydro-1H-indol-4-yloxy)-propan-2-ol, the best fitting binding fragments were established with a significant dissociation constant value of 5-7 nanomolar. The flexibility of specific active sites was also investigated, and it was observed that residues 114 (V), 117 (V), 203 (S), 286 (W), and 289 (F) played a crucial role in accommodating ligand for the best binding. Upon examination of the bioavailability parameters, the ligand var9 exhibited significant inhibitory characteristics having lower toxicity values and high drug likeliness properties. Findings certainly hold significance in terms of targeting GPCRs in getting insight into structure-based drug designing and drug discovery.

Structure of the gene for CAD, the multifunctional protein that initiates UMP synthesis in Syrian hamster cells

1982 ◽  
Vol 2 (3) ◽  
pp. 293-301
Author(s):  
R A Padgett ◽  
G M Wahl ◽  
G R Stark
Keyword(s):  
Electron Microscopy ◽  
Syrian Hamster ◽  
Specific Inhibitor ◽  
Aspartate Transcarbamylase ◽  
Multifunctional Protein ◽  
Intervening Sequences ◽  
Multiple Copies ◽  
Cad Gene ◽  
Polyadenylated Rnas ◽  
Ump Synthesis

Two adjacent fragments of genomic DNA spanning the gene for CAD, which encodes the first three enzymes of UMP biosynthesis, were cloned from a mutant Syrian hamster cell line containing multiple copies of this gene. The mutant was selected for resistance to N-(phosphonacetyl)-L-aspartate, a potent and specific inhibitor of aspartate transcarbamylase, the second enzyme in the pathway. The sizes and positions of about 37 intervening sequences within the 25-kilobase CAD gene were mapped by electron microscopy, and the locations of the 5' and 3' ends of the 7.9-kilobase CAD mRNA were established by electron microscopy and by other hybridization methods. The coding sequences are small (100 to 400 bases), as are most of the intervening sequences (50 to 300 bases). However, there are also several large intervening sequences of up to 5,000 bases each. Two small cytoplasmic polyadenylated RNAs are transcribed from a region just beyond the 5' end of the CAD gene, and their abundance reflects the degree of gene amplification.

scholarly journals Quinazolinones as Competitive Inhibitors of Carbonic Anhydrase-II (Human and Bovine): Synthesis, in-vitro, in-silico, Selectivity, and Kinetics Studies

2020 ◽  
Vol 8 ◽  
Author(s):  
Ajmal Khan ◽  
Majid Khan ◽  
Sobia Ahsan Halim ◽  
Zulfiqar Ali Khan ◽  
Zahid Shafiq ◽  
...  
Keyword(s):  
Carbonic Anhydrase ◽  
Active Sites ◽  
Binding Mode ◽  
Competitive Inhibitor ◽  
Significant Inhibition ◽  
Carbonic Anhydrase Ii ◽  
Complete Agreement ◽  
Active Inhibitor ◽  
Kinetics Studies

Carbonic anhydrase-II (CA-II) is associated with glaucoma, malignant brain tumors, and renal, gastric, and pancreatic carcinomas and is mainly involved in the regulation of the bicarbonate concentration in the eyes. CA-II inhibitors can be used to reduce the intraocular pressure usually associated with glaucoma. In search of potent CA-II inhibitors, a series of quinazolinones derivatives (4a-p) were synthesized and characterized by IR and NMR spectroscopy. The inhibitory potential of all the compounds was evaluated against bovine carbonic anhydrase-II (bCA-II) and human carbonic anhydrase-II (hCA-II), and compounds displayed moderate to significant inhibition with IC50 values of 8.9–67.3 and 14.0–59.6 μM, respectively. A preliminary structure-activity relationship suggested that the presence of a nitro group on the phenyl ring at R position contributes significantly to the overall activity. Kinetics studies of the most active inhibitor, 4d, against both bCA-II and hCA-II were performed to investigate the mode of inhibition and to determine the inhibition constants (Ki). According to the kinetics results, 4d is a competitive inhibitor of bCA-II and hCA-II with Ki values of 13.0 ± 0.013 and 14.25 ± 0.017 μM, respectively. However, the selectivity index reflects that the compounds 4g and 4o are more selective for hCA-II. The binding mode of these compounds within the active sites of bCA-II and hCA-II was investigated by structure-based molecular docking. The docking results are in complete agreement with the experimental findings.

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