Asparagine-Proline Sequence Within Membrane-Spanning Segment of SREBP Triggers Intramembrane Cleavage by Site-2 Protease
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Amino Acid Recognition by Aminoacyl-Trna Synthetases
www.nature.com/scientificreports OPEN The structural basis of the genetic code: amino acid recognition by aminoacyl‑tRNA synthetases Florian Kaiser1,2,4*, Sarah Krautwurst3,4, Sebastian Salentin1, V. Joachim Haupt1,2, Christoph Leberecht3, Sebastian Bittrich3, Dirk Labudde3 & Michael Schroeder1 Storage and directed transfer of information is the key requirement for the development of life. Yet any information stored on our genes is useless without its correct interpretation. The genetic code defnes the rule set to decode this information. Aminoacyl-tRNA synthetases are at the heart of this process. We extensively characterize how these enzymes distinguish all natural amino acids based on the computational analysis of crystallographic structure data. The results of this meta-analysis show that the correct read-out of genetic information is a delicate interplay between the composition of the binding site, non-covalent interactions, error correction mechanisms, and steric efects. One of the most profound open questions in biology is how the genetic code was established. While proteins are encoded by nucleic acid blueprints, decoding this information in turn requires proteins. Te emergence of this self-referencing system poses a chicken-or-egg dilemma and its origin is still heavily debated 1,2. Aminoacyl-tRNA synthetases (aaRSs) implement the correct assignment of amino acids to their codons and are thus inherently connected to the emergence of genetic coding. Tese enzymes link tRNA molecules with their amino acid cargo and are consequently vital for protein biosynthesis. Beside the correct recognition of tRNA features3, highly specifc non-covalent interactions in the binding sites of aaRSs are required to correctly detect the designated amino acid4–7 and to prevent errors in biosynthesis5,8. -
Nucleotide Base Coding and Am1ino Acid Replacemients in Proteins* by Emil L
VOL. 48, 1962 BIOCHEMISTRY: E. L. SAIITH 677 18 Britten, R. J., and R. B. Roberts, Science, 131, 32 (1960). '9 Crestfield, A. M., K. C. Smith, and F. WV. Allen, J. Biol. Chem., 216, 185 (1955). 20 Gamow, G., Nature, 173, 318 (1954). 21 Brenner, S., these PROCEEDINGS, 43, 687 (1957). 22 Nirenberg, M. WV., J. H. Matthaei, and 0. WV. Jones, unpublished data. 23 Crick, F. H. C., L. Barnett, S. Brenner, and R. J. Watts-Tobin, Nature, 192, 1227 (1961). 24 Levene, P. A., and R. S. Tipson, J. Biol. Ch-nn., 111, 313 (1935). 25 Gierer, A., and K. W. Mundry, Nature, 182, 1437 (1958). 2' Tsugita, A., and H. Fraenkel-Conrat, J. Mllot. Biol., in press. 27 Tsugita, A., and H. Fraenkel-Conrat, personal communication. 28 Wittmann, H. G., Naturwissenschaften, 48, 729 (1961). 29 Freese, E., in Structure and Function of Genetic Elements, Brookhaven Symposia in Biology, no. 12 (1959), p. 63. NUCLEOTIDE BASE CODING AND AM1INO ACID REPLACEMIENTS IN PROTEINS* BY EMIL L. SMITHt LABORATORY FOR STUDY OF HEREDITARY AND METABOLIC DISORDERS AND THE DEPARTMENTS OF BIOLOGICAL CHEMISTRY AND MEDICINE, UNIVERSITY OF UTAH COLLEGE OF MEDICINE Communicated by Severo Ochoa, February 14, 1962 The problem of which bases of messenger or template RNA' specify the coding of amino acids in proteins has been largely elucidated by the use of synthetic polyri- bonucleotides.2-7 For these triplet nucleotide compositions (Table 1), it is of in- terest to examine some of the presently known cases of amino acid substitutions in polypeptides or proteins of known structure. -
Amino Acid Degradation
BI/CH 422/622 OUTLINE: OUTLINE: Protein Degradation (Catabolism) Digestion Amino-Acid Degradation Inside of cells Protein turnover Dealing with the carbon Ubiquitin Fates of the 29 Activation-E1 Seven Families Conjugation-E2 nitrogen atoms in 20 1. ADENQ Ligation-E3 AA: Proteosome 2. RPH 9 ammonia oxidase Amino-Acid Degradation 18 transamination Ammonia 2 urea one-carbon metabolism free transamination-mechanism to know THF Urea Cycle – dealing with the nitrogen SAM 5 Steps Carbamoyl-phosphate synthetase 3. GSC Ornithine transcarbamylase PLP uses Arginino-succinate synthetase Arginino-succinase 4. MT – one carbon metabolism Arginase 5. FY – oxidase vs oxygenase Energetics Urea Bi-cycle 6. KW – Urea Cycle – dealing with the nitrogen 7. BCAA – VIL Feeding the Urea Cycle Glucose-Alanine Cycle Convergence with Fatty acid-odd chain Free Ammonia Overview Glutamine Glutamate dehydrogenase Overall energetics Amino Acid A. Concepts 1. ConvergentDegradation 2. ketogenic/glucogenic 3. Reactions seen before The SEVEN (7) Families B. Transaminase (A,D,E) / Deaminase (Q,N) Family C. Related to biosynthesis (R,P,H; C,G,S; M,T) 1.Glu Family a. Introduce oxidases/oxygenases b. Introduce one-carbon metabolism (1C) 2.Pyruvate Family a. PLP reactions 3. a-Ketobutyric Family (M,T) a. 1-C metabolism D. Dedicated 1. Aromatic Family (F,Y) a. oxidases/oxygenases 2. a-Ketoadipic Family (K,W) 3. Branched-chain Family (V,I,L) E. Convergence with Fatty Acids: propionyl-CoA 29 N 1 Amino Acid Degradation • Intermediates of the central metabolic pathway • Some amino acids result in more than one intermediate. • Ketogenic amino acids can be converted to ketone bodies. -
Where Metal Ions Bind in Proteins (Metafloprotein/Protein Structure/Hydrophobicity Contrast Function) MASON M
Proc. Nadl. Acad. Sci. USA Vol. 87, pp. 5648-5652, August 1990 Biophysics Where metal ions bind in proteins (metafloprotein/protein structure/hydrophobicity contrast function) MASON M. YAMASHITA*t, LAURA WESSON*, GEORGE EISENMANt, AND DAVID EISENBERG*§ *Molecular Biology Institute and Department of Chemistry and Biochemistry, and *Department of Physiology, University of California, Los Angeles, CA 90024 Contributed by David Eisenberg, May 14, 1990 ABSTRACT The environments of metal ions (Li', Na', K+, Ag+, Cs+, Mg2+, Ca2+, Mn2+9 Cu2+, Zn2+) in proteins and other metal-host molecules have been examined. Regard- .. 0.00- ______ less ofthe metal and its precise pattern ofligation to the protein, there is a common qualitative feature to the bind site: the metal is ligated by a shell of hydrophilic atomic groups (con- E -0.01 Zn2+ taining oxygen, nitrogen, or sulfur atoms) and this hydrophilic shell is embedded within a larger shell of hydrophobic atomic - -0.02 groups (containing carbon atoms). That is, metals bind at centers of high hydrophobicity contrast. This qualitative ob- servation can be described analytically by the hydrophobicity 0 2 4 6 8 10 contrast function, C, evaluated from the structure. This func- tion is large and positive for a sphere of hydrophilic atomic 0.01 groups (characterized by atomic salvation parameters, Aar, having values < 0) at the center of a larger sphere of hydro- phobic atomic groups (characterized by Aor > 0). In the 23 0.00. metal-binding molecules we have examined, the maximum values of the contrast function lie near to observed metal binding sites. This suggests that the hydrophobicity contrast function may be useful for locating, characterizing, and de- - -0.01 signing metal binding sites in proteins. -
The Diverse Functions of Non-Essential Amino Acids in Cancer
cancers Review The Diverse Functions of Non-Essential Amino Acids in Cancer Bo-Hyun Choi and Jonathan L. Coloff * Department of Physiology and Biophysics, University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, IL 60612, USA; [email protected] * Correspondence: coloff@uic.edu Received: 16 April 2019; Accepted: 10 May 2019; Published: 15 May 2019 Abstract: Far beyond simply being 11 of the 20 amino acids needed for protein synthesis, non-essential amino acids play numerous important roles in tumor metabolism. These diverse functions include providing precursors for the biosynthesis of macromolecules, controlling redox status and antioxidant systems, and serving as substrates for post-translational and epigenetic modifications. This functional diversity has sparked great interest in targeting non-essential amino acid metabolism for cancer therapy and has motivated the development of several therapies that are either already used in the clinic or are currently in clinical trials. In this review, we will discuss the important roles that each of the 11 non-essential amino acids play in cancer, how their metabolic pathways are linked, and how researchers are working to overcome the unique challenges of targeting non-essential amino acid metabolism for cancer therapy. Keywords: aspartate; asparagine; arginine; cysteine; glutamate; glutamine; glycine; proline; serine; cancer 1. Introduction It is now well established that tumors display different metabolic phenotypes than normal tissues [1]. The first observed and most studied metabolic phenotype of tumors is that of increased glucose uptake and glycolysis [2,3], a metabolic phenotype that is exploited in the clinic to image human tumors and metastases via 18flurodeoxyglucose positron emission tomography (18FDG-PET) [4]. -
Asparagine: a Metabolite to Be Targeted in Cancers
H OH metabolites OH Review Asparagine: A Metabolite to Be Targeted in Cancers Jie Jiang 1, Sandeep Batra 2,* and Ji Zhang 1,3,* 1 Herman B Wells Center for Pediatric Research, School of Medicine, Indiana University, Indianapolis, IN 46202, USA; [email protected] 2 Riley Hospital for Children at Indiana University Health; Indianapolis, IN 46202, USA 3 Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University; Indianapolis, IN 46202, USA * Correspondence: [email protected] (S.B.); [email protected] (J.Z.) Abstract: Amino acids play central roles in cancer progression beyond their function as building blocks for protein synthesis. Thus, targeting amino acid acquisition and utilization has been proved to be therapeutically beneficial in various pre-clinical models. In this regard, depletion of circulating asparagine, a nonessential amino acid, by L-asparaginase has been used in treating pediatric acute lymphoblastic leukemia (ALL) for decades. Of interest, unlike most solid tumor cells, ALL cells lack the ability to synthesize their own asparagine de novo effectively. However, only until recently, growing evidence suggests that solid tumor cells strive to acquire adequate amounts of asparagine to support tumor progression. This process is subjected to the regulation at various levels, including oncogenic signal, tumor-niche interaction, intratumor heterogeneity and dietary accessibility. We will review the literature on L-asparaginase-based therapy as well as recent understanding of asparagine metabolism in solid tumor progression, with the hope of shedding light into a broader cancer therapeutic strategy by perturbing its acquisition and utilization. Keywords: asparagine; L-asparaginase; acute lymphoblastic leukemia; asparagine synthetase; stress Citation: Jiang, J.; Batra, S.; Zhang, J. -
Stable Isotope Studies Reveal Pathways for the Incorporation of Non-Essential Amino Acids in Acyrthosiphon Pisum (Pea Aphids) Meena Haribal* and Georg Jander*
© 2015. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2015) 218, 3797-3806 doi:10.1242/jeb.129189 RESEARCH ARTICLE Stable isotope studies reveal pathways for the incorporation of non-essential amino acids in Acyrthosiphon pisum (pea aphids) Meena Haribal* and Georg Jander* ABSTRACT Febvay et al., 1988; Fukumorita and Chino, 1982; Girousse and Plant roots incorporate inorganic nitrogen into the amino acids Bournoville, 1994; Girousse et al., 1996; Hunt et al., 2006; Karley glutamine, glutamic acid, asparagine and aspartic acid, which et al., 2002; Lohaus and Moellers, 2000; Ponder et al., 2000; Riens together serve as the primary metabolites of nitrogen transport to et al., 1991; Sandström and Pettersson, 1994; Sasaki et al., 1990; other tissues. Given the preponderance of these four amino acids, Urquhart and Joy, 1981; Valle et al., 1998; Wilkinson and Douglas, phloem sap is a nutritionally unbalanced diet for phloem-feeding 2003). Whereas these four non-essential amino acids are relatively insects. Therefore, aphids and other phloem feeders typically rely on abundant, phloem plant sap typically is deficient in essential amino microbial symbionts for the synthesis of essential amino acids. To acids that cannot be synthesized by animals (Atkins et al., 2011; investigate the metabolism of the four main transport amino acids by Girousse et al., 2005; Lohaus et al., 1994; Zhang et al., 2010). the pea aphid (Acyrthosiphon pisum), and its Buchnera aphidicola Animals that feed on nutritionally unbalanced resources such as endosymbionts, aphids were fed defined diets with stable isotope- phloem sap, which typically has sub-optimal amounts of essential labeled glutamine, glutamic acid, asparagine or aspartic acid (U-13C, amino acids, have evolved mechanisms for acquiring or U-15N; U-15N; α-15N; or γ-15N). -
Degradation of Amino Acids
• The catabolism of the amino acids found in proteins involves the removal of α-amino groups, followed by the breakdown of the resulting carbon skeletons. These pathways converge to form seven intermediate products: oxaloacetate, α-ketoglutarate, pyruvate, fumarate, succinyl CoA, acetyl Coa, and acetoacetyl CoA. These products directly enter the pathways of intermediary metabolism, resulting either in the synthesis of glucose or lipid, or in the production of energy through their oxidation to CO2 and water by the citric acid cycle. The figure provides an overview of these pathways, with a more detailed summary presented later. GLUCOGENIC AND KETOGENIC AMINO ACIDS" Amino Acids can be classified as glucogenic or ketogenic based on which of the seven intermediates are produced during their catabolism. Glucogenic amino acids Amino acids whose catabolism yield pyruvate or one of the intermediates of the citric acid cycle are termed glucogenic or glycogenic. These intermediates are substrates for gluconeogenesis and, therefore, can give rise to the net formation of glucose or glycogen in the liver and glycogen in the muscle. Ketogenic amino acids Amino acids whose catabolism yield either acetoacetate or one of its precursor are termed ketogenic. Acetoacetate is one of the “ketone bodies”, which also include 3-hydroxybutyrate and acetone. Leucine and lysine are the only exclusively ketogenic amino acids found in proteins. Their carbon skeletons are not substrates for gluconeogenesis and, therefore, cannot give rise to the net formation of glucose or glycogen in the liver, or glycogen in the muscle. CATABOLISM OF THE CARBON SKELETONS OF AMINO ACIDS The pathways by which amino acids are catabolized, are conveniently organized according to which (or more) of the seven intermediates listed above is produced from a particular amino acid. -
Distribution of Glutamine and Asparagine Residues and Their Near Neighbors in Peptides and Proteins ARTHUR B
Proc. Nati. Acad. Sci. USA Vol. 88, pp. 8880-8884, October 1991 Biochemistry Distribution of glutamine and asparagine residues and their near neighbors in peptides and proteins ARTHUR B. ROBINSON AND LAURELEE R. ROBINSON* Oregon Institute of Science and Medicine, 2251 Dick George Road, Cave Junction, OR 97523 Communicated by Martin D. Kamen, July 18, 1991 ABSTRACT In a statistical study ofneighboring residues in 31, 1988. PIR is a service of the National Biomedical Re- 1465 peptides and proteins comprising 450,431 residues, it was search Foundation, Georgetown University Medical Center, found that the preferences for residues neighboring to glutamine 3900 Reservoir Road, N.W., Washington, DC 20007. and asparagine residues are consistent with the hypothesis that From the 73% sequences in the listing, 1465 were selected the rates of deamidatiob of these residues are of biolocl to eliminate statistical bias from the inclusion of closely significae. Some dipeptide and tripeptide structures have related sequences. The 1465 selected sequences comprised special usefuness and some are especially undesirable. More 450,431 amino acid residues. The selected residues included such structures exist for amide residues than for other residues, 35,155 Ala, 8669 Cys, 24,161 Asp, 28,354 Glu, 17,367 Phe, and their specific types are those most relevant to the deamida- 33,229 Gly, 9906 His, 23,161 Ile, 25,872 Lys, 40,625 Leu, tion of amide residues under biological conditions. 10,101 Met, 20,212 Asn, 23,435 Pro, 19,208 Gln, 23,105 Arg, 32,070 Ser, 26,311 Thr, 29,012 Val, 5990 Trp, and 14,488 Tyr. -
Isoleucine, Asparagine, Glutamine, Proline, Leucine, and Glycine Which Bears a Carboxamide Group
OXYTOCIN AND NEUROHYPOPHYSEAL PEPTIDES: SPECTRAL ASSIGNMENT AND CONFORMA TIONAL ANAL YSIS BY 220 M1Hz NUCLEAR MAGNETIC RESONANCE*,t BY LEROY F. JOHNSON, I. L. SCHWARTZ, AND RODERICH WALTERt VARIAN ASSOCIATES, ANALYTICAL INSTRUMENT DIVISION, PALO ALTO, CALIF.; DEPARTMENT OF PHYSIOLOGY, MOUNT SINAI MEDICAL AND GRADUATE SCHOOLS OF THE CITY UNIVERSITY OF NEW YORK; AND MEDICAL RESEARCH CENTER, BROOKHAVEN NATIONAL LABORATORY, UPTON, NEW YORK Communicated by Maurice Goldhaber, May 26, 1969 Abstract. 1\Jagnetic resonance peaks have been assigned to individual protons of the constituent amino acids in the neurohypophyseal hormone, oxytocin, and in related peptides. The assignments were made possible by operation at 220 M\Hz with the use of variable temperature studies, proton homonuclear spin- decoupling, and comparison of spectra of oxytocin analogs. Some of the observed chemical shifts, and NH-CHa coupling constants were studied in relation to the conformation of the hormone. Earlier we investigated the conformation of neurohypophyseal hormones by means of partition chromatography1 and circular dichroism.2 In continuation of these studies we turned to 220 1\IHz proton nuclear magnetic resonance (NM'\1R)- a technique which offers great promise in revealing information about helix-- coil transitions and mobility of side chains as well as intra- and intermolecular interactions in peptides and proteins. In this paper' we wish to report on the analysis of NM'R spectra, in deuterated dimethylsulfoxide, of oxytocin a cyclic peptide hormone composed of eight different amino acids, viz., cystine, tyrosine, isoleucine, asparagine, glutamine, proline, leucine, and glycine which bears a carboxamide group. Materials and Methods.-Spectra were recorded using a Varian Associates HR- 220 spectrometer. -
The Breakdown of Asparagine, Glutamine, and Other Amides by Microorganisms from the Sheep's Rumen
THE BREAKDOWN OF ASPARAGINE, GLUTAMINE, AND OTHER AMIDES BY MICROORGANISMS FROM THE SHEEP'S RUMEN By A. C. 1. W ARNER* [klanuscript received July 17, 1963] Summary Microorganisms from the rumen of sheep rapidly broke down asparagine, glutamine, nicotinamide, and formamide, with the production of ammonia, but only slowly attacked acetamide and propionamide. Microorganisms from different animals, or collected at different times, had different activities. The results suggested that a separate enzyme or enzymes were involved for each substrate, including perhaps a D- as well as an L-asparaginase. The amide groups of casein were also broken down, but it is uncertain to what extent prior hydrolysis had taken place. -while the a·ctivities could not be correlated with any morphologically recognizable group of microorganisms, it appeared that asparaginase was mainly associated with the bacteria, glutaminase to a large extent with the protozoa. The aspartic and glutamic acids formed by dearnidation of asparagine and glutamine were further deaminatod. The optimum pH for aspaJ:'aginase and glutaminase was between 7 and 8, but considera,ble activity remained even at pH 5. Extracts from the microorganisms were made. The asparaginase activity in t.hese was inhibited by mercuric ions and to a lesser extent by ammonium and by cyanide ions. No inhibition or activation was found with phthalein dyes, aspartic acid, phosphate, sulphate, or chloride ions, or toluene. The apparent Km of the asparaginase was less than 10-4. 1\1. 1. INTRODUCTION The natural diet of ruminants contains a considerable variety of nonMprotein nitrogenous material (Chalmers and Synge 1954), and this includes the amino acid amides asparagine and glutamine. -
Targeting the Proline–Glutamine–Asparagine–Arginine Metabolic Axis in Amino Acid Starvation Cancer Therapy
pharmaceuticals Review Targeting the Proline–Glutamine–Asparagine–Arginine Metabolic Axis in Amino Acid Starvation Cancer Therapy Macus Tien Kuo 1,*, Helen H. W. Chen 2, Lynn G. Feun 3 and Niramol Savaraj 4 1 Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA 2 Department of Radiation Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70428, Taiwan; [email protected] 3 Department of Medicine, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; [email protected] 4 Division of Hematology and Oncology, Miami Veterans Affairs Heaithcare System, Miami, FL 33136, USA; [email protected] * Correspondence: [email protected] Abstract: Proline, glutamine, asparagine, and arginine are conditionally non-essential amino acids that can be produced in our body. However, they are essential for the growth of highly proliferative cells such as cancers. Many cancers express reduced levels of these amino acids and thus require import from the environment. Meanwhile, the biosynthesis of these amino acids is inter-connected but can be intervened individually through the inhibition of key enzymes of the biosynthesis of these amino acids, resulting in amino acid starvation and cell death. Amino acid starvation strategies have been in various stages of clinical applications. Targeting asparagine using asparaginase has been approved for treating acute lymphoblastic leukemia. Targeting glutamine and arginine starvations are in various stages of clinical trials, and targeting proline starvation is in preclinical development. The most important obstacle of these therapies is drug resistance, which is mostly due to reactivation of the key enzymes involved in biosynthesis of the targeted amino acids and reprogramming of Citation: Kuo, M.T.; Chen, H.H.W.; compensatory survival pathways via transcriptional, epigenetic, and post-translational mechanisms.