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Psyle A

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Psyle A is an antibacterial peptide isolated from Psychotria leptothyrsa. It has anti-cancer activity and cytotoxicity.

Category
Functional Peptides
Catalog number
BAT-011202
Molecular Formula
C128H187N31O35S6
Molecular Weight
2912.4
IUPAC Name
3-[(1R,7S,13S,16S,19R,25S,28S,31S,34S,37S,40S,46R,49S,52S,58R,61S,64S,67R,70S,73S,76S,79S,82R,85S)-73,79-bis(4-aminobutyl)-58-(2-amino-2-oxoethyl)-16,28,61-tribenzyl-13,52-bis[(2S)-butan-2-yl]-37,76,85-tris(hydroxymethyl)-64-[(4-hydroxyphenyl)methyl]-49-methyl-25-(2-methylpropyl)-3,6,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87-octacosaoxo-31,70-di(propan-2-yl)-89,90,93,94,97,98-hexathia-2,5,11,14,17,20,23,26,29,32,35,38,41,44,47,50,53,56,59,62,65,68,71,74,77,80,83,86-octacosazapentacyclo[44.41.4.419,67.434,82.07,11]nonanonacontan-40-yl]propanoic acid
Synonyms
Gly-Ile-Ala-Cys-Gly-Glu-Ser-Cys-Val-Phe-Leu-Gly-Cys-Phe-Ile-Pro-Gly-Cys-Ser-Cys-Lys-Ser-Lys-Val-Cys-Tyr-Phe-Asn
Sequence
(cyclo)-AC(1)GES{d}C(2)VFLGC(3)FIPGC(1)SC(2)KSKVC(3)YF{d}NGI-(cyclo)
InChI
InChI=1S/C128H187N31O35S6/c1-12-68(9)103-127(193)136-70(11)105(171)151-88-59-195-196-61-90-120(186)150-87(58-162)118(184)152-91-62-198-200-64-93(153-117(183)86(57-161)149-110(176)78(41-42-100(169)170)137-96(165)52-134-108(88)174)123(189)157-101(66(5)6)125(191)147-82(48-72-30-19-15-20-31-72)114(180)142-79(46-65(3)4)106(172)132-53-97(166)138-89(119(185)145-83(49-73-32-21-16-22-33-73)115(181)158-104(69(10)13-2)128(194)159-45-27-36-94(159)124(190)135-54-98(167)139-90)60-197-199-63-92(154-126(192)102(67(7)8)156-111(177)77(35-24-26-44-130)140-116(182)85(56-160)148-109(175)76(141-121(91)187)34-23-25-43-129)122(188)144-81(50-74-37-39-75(163)40-38-74)112(178)143-80(47-71-28-17-14-18-29-71)113(179)146-84(51-95(131)164)107(173)133-55-99(168)155-103/h14-22,28-33,37-40,65-70,76-94,101-104,160-163H,12-13,23-27,34-36,41-64,129-130H2,1-11H3,(H2,131,164)(H,132,172)(H,133,173)(H,134,174)(H,135,190)(H,136,193)(H,137,165)(H,138,166)(H,139,167)(H,140,182)(H,141,187)(H,142,180)(H,143,178)(H,144,188)(H,145,185)(H,146,179)(H,147,191)(H,148,175)(H,149,176)(H,150,186)(H,151,171)(H,152,184)(H,153,183)(H,154,192)(H,155,168)(H,156,177)(H,157,189)(H,158,181)(H,169,170)/t68-,69-,70-,76-,77-,78-,79-,80-,81-,82-,83-,84+,85-,86-,87-,88-,89-,90-,91-,92-,93+,94-,101-,102-,103-,104-/m0/s1
InChI Key
AXGAZCWAIVSFHO-OHTGTQMRSA-N
Canonical SMILES
CCC(C)C1C(=O)NC(C(=O)NC2CSSCC3C(=O)NC(C(=O)NC4CSSCC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)NCC(=O)NC(CSSCC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)NCC(=O)N1)CC(=O)N)CC5=CC=CC=C5)CC6=CC=C(C=C6)O)NC(=O)C(NC(=O)C(NC(=O)C(NC(=O)C(NC4=O)CCCCN)CO)CCCCN)C(C)C)C(=O)NC(C(=O)NC(C(=O)N7CCCC7C(=O)NCC(=O)N3)C(C)CC)CC8=CC=CC=C8)CC(C)C)CC9=CC=CC=C9)C(C)C)NC(=O)C(NC(=O)C(NC(=O)CNC2=O)CCC(=O)O)CO)CO)C
1. Whole-genome sequencing of patients with rare diseases in a national health system
Ernest Turro, et al. Nature. 2020 Jul;583(7814):96-102. doi: 10.1038/s41586-020-2434-2. Epub 2020 Jun 24.
Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half such disorders remain to be discovered1. Here we used whole-genome sequencing (WGS) in a national health system to streamline diagnosis and to discover unknown aetiological variants in the coding and non-coding regions of the genome. We generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 extensively phenotyped participants. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed to be aetiological. By generating WGS data of UK Biobank participants2, we found that rare alleles can explain the presence of some individuals in the tails of a quantitative trait for red blood cells. Finally, we identified four novel non-coding variants that cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare.
2. Whole-genome sequencing of a sporadic primary immunodeficiency cohort
James E D Thaventhiran, et al. Nature. 2020 Jul;583(7814):90-95. doi: 10.1038/s41586-020-2265-1. Epub 2020 May 6.
Primary immunodeficiency (PID) is characterized by recurrent and often life-threatening infections, autoimmunity and cancer, and it poses major diagnostic and therapeutic challenges. Although the most severe forms of PID are identified in early childhood, most patients present in adulthood, typically with no apparent family history and a variable clinical phenotype of widespread immune dysregulation: about 25% of patients have autoimmune disease, allergy is prevalent and up to 10% develop lymphoid malignancies1-3. Consequently, in sporadic (or non-familial) PID genetic diagnosis is difficult and the role of genetics is not well defined. Here we address these challenges by performing whole-genome sequencing in a large PID cohort of 1,318 participants. An analysis of the coding regions of the genome in 886 index cases of PID found that disease-causing mutations in known genes that are implicated in monogenic PID occurred in 10.3% of these patients, and a Bayesian approach (BeviMed4) identified multiple new candidate PID-associated genes, including IVNS1ABP. We also examined the noncoding genome, and found deletions in regulatory regions that contribute to disease causation. In addition, we used a genome-wide association study to identify loci that are associated with PID, and found evidence for the colocalization of-and interplay between-novel high-penetrance monogenic variants and common variants (at the PTPN2 and SOCS1 loci). This begins to explain the contribution of common variants to the variable penetrance and phenotypic complexity that are observed in PID. Thus, using a cohort-based whole-genome-sequencing approach in the diagnosis of PID can increase diagnostic yield and further our understanding of the key pathways that influence immune responsiveness in humans.
3. The molecular mechanism of RIG-I activation and signaling
Daniel Thoresen, Wenshuai Wang, Drew Galls, Rong Guo, Ling Xu, Anna Marie Pyle Immunol Rev. 2021 Nov;304(1):154-168. doi: 10.1111/imr.13022. Epub 2021 Sep 12.
RIG-I is our first line of defense against RNA viruses, serving as a pattern recognition receptor that identifies molecular features common among dsRNA and ssRNA viral pathogens. RIG-I is maintained in an inactive conformation as it samples the cellular space for pathogenic RNAs. Upon encounter with the triphosphorylated terminus of blunt-ended viral RNA duplexes, the receptor changes conformation and releases a pair of signaling domains (CARDs) that are selectively modified and interact with an adapter protein (MAVS), thereby triggering a signaling cascade that stimulates transcription of interferons. Here, we describe the structural determinants for specific RIG-I activation by viral RNA, and we describe the strategies by which RIG-I remains inactivated in the presence of host RNAs. From the initial RNA triggering event to the final stages of interferon expression, we describe the experimental evidence underpinning our working knowledge of RIG-I signaling. We draw parallels with behavior of related proteins MDA5 and LGP2, describing evolutionary implications of their collective surveillance of the cell. We conclude by describing the cell biology and immunological investigations that will be needed to accurately describe the role of RIG-I in innate immunity and to provide the necessary foundation for pharmacological manipulation of this important receptor.
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