Academic literature on the topic 'GTSE1'

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Journal articles on the topic "GTSE1"

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Zhang, Fan, Jingfei Meng, Hong Jiang, Xing Feng, Dongshan Wei, and Wen Meng. "GTSE1 Facilitates the Malignant Phenotype of Lung Cancer Cells via Activating AKT/mTOR Signaling." Analytical Cellular Pathology 2021 (May 1, 2021): 1–11. http://dx.doi.org/10.1155/2021/5589532.

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The expression of G2 and S phase-expressed-1 (GTSE1) was upregulated in human cancer. However, its expression and roles in lung cancer have not been identified yet. In our study, we reported that GTSE1 expression was statistically higher in lung tissues than in the adjacent noncancerous tissues which might be a consequence of hypomethylation of the GTSE1 promoter. The upregulated expression of GTSE1 mRNA predicted the poorer survival of the lung patients. Ectopic expression of GTSE1 in lung cancer cells significantly increased while knockdown of GTSE1 decreased cell proliferation, cell migration, and cell invasion in H460 and A549 cells. Furthermore, knockdown of GTSE1 regulated the cell cycle and promoted cell apoptosis in H460 and A549 cells. Finally, we presented that GTSE1 was able to activate AKT/mTOR signaling in H460 and A549 cells. In conclusion, these results indicated that the overexpressed GTSE1 was involved in the progress of lung cancer by promoting proliferation migration and invasion and inhibiting apoptosis of lung cancer cells via activating AKT/mTOR signaling.
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Zheng, Yongchang, Yue Shi, Si Yu, Yuanyuan Han, Kai Kang, Haifeng Xu, Huajian Gu, Xinting Sang, Yang Chen, and Jingyu Wang. "GTSE1, CDC20, PCNA, and MCM6 Synergistically Affect Regulations in Cell Cycle and Indicate Poor Prognosis in Liver Cancer." Analytical Cellular Pathology 2019 (December 30, 2019): 1–13. http://dx.doi.org/10.1155/2019/1038069.

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GTSE1 is well correlated with tumor progression; however, little is known regarding its role in liver cancer prognosis. By analyzing the hepatocellular carcinoma (HCC) datasets in GEO and TCGA databases, we showed that high expression of GTSE1 was correlated with advanced pathologic stage and poor prognosis of HCC patients. To investigate underlying molecular mechanism, we generated GTSE1 knockdown HCC cell line and explored the effects of GTSE1 deficiency in cell growth. Between GTSE1 knockdown and wild-type HCC cells, we identified 979 differentially expressed genes (520 downregulated and 459 upregulated genes) in the analysis of microarray-based gene expression profiling. Functional enrichment analysis of DEGs suggested that S phase was dysregulated without GTSE1 expression, which was further verified from flow cytometry analysis. Moreover, three other DEGs: CDC20, PCNA, and MCM6, were also found contributing to GTSE1-related cell cycle arrest and to be associated with poor overall survival of HCC patients. In conclusion, GTSE1, together with CDC20, PCNA, and MCM6, may synergistically promote adverse prognosis in HCC by activating cell cycle. Genes like GTSE1, CDC20, PCNA, and MCM6 may be promising prognostic molecular biomarkers in liver cancer.
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Bendre, Shweta, Arnaud Rondelet, Conrad Hall, Nadine Schmidt, Yu-Chih Lin, Gary J. Brouhard, and Alexander W. Bird. "GTSE1 tunes microtubule stability for chromosome alignment and segregation by inhibiting the microtubule depolymerase MCAK." Journal of Cell Biology 215, no. 5 (November 23, 2016): 631–47. http://dx.doi.org/10.1083/jcb.201606081.

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The dynamic regulation of microtubules (MTs) during mitosis is critical for accurate chromosome segregation and genome stability. Cancer cell lines with hyperstabilized kinetochore MTs have increased segregation errors and elevated chromosomal instability (CIN), but the genetic defects responsible remain largely unknown. The MT depolymerase MCAK (mitotic centromere-associated kinesin) can influence CIN through its impact on MT stability, but how its potent activity is controlled in cells remains unclear. In this study, we show that GTSE1, a protein found overexpressed in aneuploid cancer cell lines and tumors, regulates MT stability during mitosis by inhibiting MCAK MT depolymerase activity. Cells lacking GTSE1 have defects in chromosome alignment and spindle positioning as a result of MT instability caused by excess MCAK activity. Reducing GTSE1 levels in CIN cancer cell lines reduces chromosome missegregation defects, whereas artificially inducing GTSE1 levels in chromosomally stable cells elevates chromosome missegregation and CIN. Thus, GTSE1 inhibition of MCAK activity regulates the balance of MT stability that determines the fidelity of chromosome alignment, segregation, and chromosomal stability.
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Tipton, Aaron R., Jonathan D. Wren, John R. Daum, Joseph C. Siefert, and Gary J. Gorbsky. "GTSE1 regulates spindle microtubule dynamics to control Aurora B kinase and Kif4A chromokinesin on chromosome arms." Journal of Cell Biology 216, no. 10 (August 18, 2017): 3117–32. http://dx.doi.org/10.1083/jcb.201610012.

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In mitosis, the dynamic assembly and disassembly of microtubules are critical for normal chromosome movement and segregation. Microtubule turnover varies among different mitotic spindle microtubules, dictated by their spatial distribution within the spindle. How turnover among the various classes of spindle microtubules is differentially regulated and the resulting significance of differential turnover for chromosome movement remains a mystery. As a new tactic, we used global microarray meta-analysis (GAMMA), a bioinformatic method, to identify novel regulators of mitosis, and in this study, we describe G2- and S phase–expressed protein 1 (GTSE1). GTSE1 is expressed exclusively in late G2 and M phase. From nuclear envelope breakdown until anaphase onset, GTSE1 binds preferentially to the most stable mitotic spindle microtubules and promotes their turnover. Cells depleted of GTSE1 show defects in chromosome alignment at the metaphase plate and in spindle pole integrity. These defects are coupled with an increase in the proportion of stable mitotic spindle microtubules. A consequence of this reduced microtubule turnover is diminished recruitment and activity of Aurora B kinase on chromosome arms. This decrease in Aurora B results in diminished binding of the chromokinesin Kif4A to chromosome arms.
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Short, Ben. "GTSE1 leads cancer cells into CIN." Journal of Cell Biology 215, no. 5 (November 25, 2016): 593. http://dx.doi.org/10.1083/jcb.2155if.

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Li, Ke. "MiR-509-3-5p inhibits colon cancer malignancy by suppressing GTSE1." Biochemical and Biophysical Research Communications 570 (September 2021): 175–83. http://dx.doi.org/10.1016/j.bbrc.2021.07.008.

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Yao, Chengjiao, Yilin Li, Lihong Luo, Qin Xiong, Xiaowu Zhong, Fengjiao Xie, and Peimin Feng. "Identification of miRNAs and genes for predicting Barrett’s esophagus progressing to esophageal adenocarcinoma using miRNA-mRNA integrated analysis." PLOS ONE 16, no. 11 (November 24, 2021): e0260353. http://dx.doi.org/10.1371/journal.pone.0260353.

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Barrett’s esophagus (BE) is defined as any metaplastic columnar epithelium in the distal esophagus, which predisposes to esophageal adenocarcinoma (EAC). Yet, the mechanism through which BE develops to EAC still remain unclear. Moreover, the miRNA-mRNA regulatory network in distinguishing BE from EAC still remains poorly understood. To identify differentially expressed miRNAs (DEMs) and genes (DEGs) between EAC and BE from tissue samples, gene expression microarray datasets GSE13898, GSE26886, GSE1420 and miRNA microarray datasets GSE16456, GSE20099 were downloaded from Gene Expression Omnibus (GEO) database. GEO2R was used to screen the DEMs and DEGs. Pathway and functional enrichment analysis were performed by DAVID database. The protein–protein interaction (PPI) network was constructed by STRING and been visualized by Cytoscape software. Finnal, survival analysis was performed basing TCGA database. A total of 21 DEMs were identified. The enriched functions and pathways analysis inclued Epstein-Barr virus infection, herpesvirus infection and TRP channels. GART, TNFSF11, GTSE1, NEK2, ICAM1, PSMD12, CTNNB1, CDH1, PSEN1, IL1B, CTNND1, JAG1, CDH17, ITCH, CALM1 and ITGA6 were considered as the hub-genes. Hsa-miR-143 and hsa-miR-133b were the highest connectivity target gene. JAG1 was predicted as the largest number of target miRNAs. The expression of hsa-miR-181d, hsa-miR-185, hsa-miR-15b, hsa-miR-214 and hsa-miR-496 was significantly different between normal tissue and EAC. CDH1, GART, GTSE1, NEK2 and hsa-miR-496, hsa-miR-214, hsa-miR-15b were found to be correlated with survival.
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Scolz, Massimilano, Per O. Widlund, Silvano Piazza, Debora Rosa Bublik, Simone Reber, Leticia Y. Peche, Yari Ciani, et al. "GTSE1 Is a Microtubule Plus-End Tracking Protein That Regulates EB1-Dependent Cell Migration." PLoS ONE 7, no. 12 (December 7, 2012): e51259. http://dx.doi.org/10.1371/journal.pone.0051259.

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Lei, Xiao, Lehui Du, Pei Zhang, Na Ma, Yanjie Liang, Yanan Han, and Baolin Qu. "Knockdown GTSE1 enhances radiosensitivity in non–small‐cell lung cancer through DNA damage repair pathway." Journal of Cellular and Molecular Medicine 24, no. 9 (March 22, 2020): 5162–67. http://dx.doi.org/10.1111/jcmm.15165.

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Stelitano, Debora, Yamila Peche Leticia, Emiliano Dalla, Martin Monte, Silvano Piazza, and Claudio Schneider. "GTSE1: a novel TEAD4-E2F1 target gene involved in cell protrusions formation in triple-negative breast cancer cell models." Oncotarget 8, no. 40 (June 27, 2017): 67422–38. http://dx.doi.org/10.18632/oncotarget.18691.

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Dissertations / Theses on the topic "GTSE1"

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Bendre, Shweta [Verfasser], and Andrea [Akademischer Betreuer] Musacchio. "GTSE1 regulates microtubule stability during mitosis through inhibition of the microtubule depolymerase MCAK / Shweta Bendre ; Betreuer: Andrea Musacchio." Duisburg, 2017. http://d-nb.info/1141053675/34.

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Yu-Chih, Lin [Verfasser], and Andrea [Akademischer Betreuer] Musacchio. "Adaptor binding sites in the clathrin terminal domain directly recruit the microtubule-stabilizing protein GTSE1 to the mitotic spindle / Lin Yu-Chih ; Betreuer: Andrea Musacchio." Duisburg, 2018. http://d-nb.info/1158496044/34.

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Ciani, Yari. "Regulatory modules discovery and mesenchymal stem cells characterization from high-throughput cancer genomics data." Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11111.

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2013/2014
Il tumore è una malattia caratterizzata da un’estrema complessità molecolare. Gli approcci di tipo “omic”, collezionando dati sull’intero genoma, sui trascritti e proteine in dataset pubblici, permettono di superare questa complessità e di trovare moduli funzionali che eseguono le funzioni coinvolte nei processi tumorali. Ad esempio, i profili di espressione genica da tessuti vengono usati per definire firme di geni e testarne la rilevanza clinica. Ho usato questo tipo di informazione per caratterizzare specifici geni di interesse in modelli di tumore al seno. Uno dei più recenti progetti di tipo “omic” è il FANTOM5. Questo progetto ha generato una risorsa unica: il primo atlante di espressione in mammifero basato su sequenziamento a singola molecola. Il sistema CAGE (Cap Analysis of Gene Expression) è stato usato per misurare i siti di inizio trascrizione (TSS) e l’utilizzo dei promotori in una collezione di campioni umani: in questo modo sono stati misurati i livelli di espressione di gran parte dei trascritti codificanti e non-codificanti nel genoma umano. Ho usato questo tipo di informazione per caratterizzare una linea staminale mesenchimale/stromale (MSC) derivante da tumori sierosi ovarici di alto grado (HG-SOC-MSCs) o da tessuti normali (N-MSCs) inclusi nel dataset FANTOM5. Ho messo in luce programmi funzionali condivisi tra le due linee cellulari e osservato che le differenze principali tra le funzioni attivate nelle due linee sono di tipo quantitativo più che qualitativo. I risultati suggeriscono inoltre che le HG-SOC-MSCs sono simili alle cellule mesoteliali e alle cellule del tessuto muscolare liscio. Inoltre, ho analizzato l’intero dataset usando ScanAll, un nuovo software utile a predire ab initio la presenza di elementi arricchiti nelle regioni geniche che circondano i promotori trovati del progetto FANTOM5. Ho individuato moduli di regolazione, ossia gruppi di motif che si trovano a distanze predefinite sul genoma uno rispetto all’altro. Questi moduli sono arricchiti in regioni del genoma co-espresse rispetto a sequenze generate casualmente. Infine ho creato un compendio di fattori di trascrizione espressi e che partecipano ad interazione proteina-proteina.
Cancer is a disease characterized by an extreme molecular complexity. Omics approaches, collecting data in public databases for all the genome, transcripts and proteins, attempt to overcome this complexity and find the functional modules that perform the functions involved in tumour related processes. For instance, cancer tissues gene expression profiles are widely used to define genes signatures and test their clinical relevance. I used this kind information in order to characterise interesting genes in breast cancer models. On the other hand, cellular models datasets could provide data that permits to focus on specific molecular mechanisms and probe the effects of molecules in a specific cancer model. One of the most recent omics project is the FANTOM5 project, that has generated a unique resource, the first single molecule sequencing-based expression atlas in mammalian systems. Cap analysis of gene expression (CAGE) was used to measure transcription start sites (TSS) and promoter usage across a wide collection of human samples thereby identifying and measuring levels of the majority of coding and non-coding transcripts in the human genome. I used this information to characterize a mesenchymal/stromal stem cell line (MSC) derived from high-grade serous ovarian cancer (HG-SOC-MSCs) or derived from normal tissue (N-MSCs) included in the entire FANTOM5 human dataset. I highlighted shared functional programs between HG-SOC-MSCs and N-MSCs suggesting that the global differences between the two cell lines are based on quantitative levels of transcriptional output rather than on qualitative differences. The results suggested that HG-SOC-MSCs are close relatives of mesothelial cells and smooth muscle cells. Furthermore, we analysed the entire dataset using ScanAll, a newly developed software, to ab initio predict the presence of enriched elements in the genomic regions surrounding FANTOM5 promoters. I pinpointed regulatory modules, i.e. groups of enriched motifs co-occurring in co-expressed regions within a fixed distance. These modules are enriched in the co-expressed sequences in each sample respect to random generated sequences. Finally, I created a Compendium of putative expressed and directly interacting transcription factors.
XXVII Ciclo
1986
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Liperis, Georgios. "The function of gametocyte specific factor 1 (GTSF1) in mammalian oocyte and ovarian follicle development." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/6895/.

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A detailed understanding of the genes and mechanisms that regulate oocyte growth and maturation underpins the development of improved methods of assisted conception. Gametocyte specific factor 1 (GTSF1)-a putative marker of gamete developmental competence, is highly conserved across species but in mammals demonstrates a sexual dimorphism in its function. In mice, male mutants for Gtsf1 have an infertile phenotype, whereas female mutants appear to have normal ovarian function. It is hypothesised that GTSF1 regulates oocyte development in monovular species such as the sheep. Initial studies characterised the expression and cellular distribution of GTSF1 across cDNA libraries spanning ovine oogenesis and embryogenesis and by using in situ hybridisation of fixed tissue. GTSF1 expression was confined to gonadal and embryonic tissues with highest expression in the ooplasm of germinal vesicle (GV)-staged secondary oocytes. The gene sequence of GTSF1 was obtained and the gene and predicted protein sequences revealed close homology across many species with two conserved CHHC zinc finger domains known to bind RNA. Functional analysis of the role of GTSF1 during sheep oocyte maturation was conducted using short interference RNA (siRNA injection) in conjunction with oocyte in vitro maturation (IVM) and oocytectomised cumulus shell co-culture. This system was validated using siRNA knockdown (kd) for a known oocyte-specific gene, Growth differentiation factor 9 (GDF9). The effect on GTSF1 kd was evaluated following the microinjection of 770 GV oocytes with siRNA target against the sixth exon of ovine GTSF1. The effects of GTSF1 kd were evaluated in 57 MII oocytes and cumulus shells. Targeted kd of GTSF1 in GV oocytes followed by IVM and cumulus shell co-culture did not affect oocyte meiotic progression or cumulus expansion. Microarray analysis using the bovine GeneChip Affymetrix array revealed that 6 down-regulated genes (TCOF1, RPS8, CACNA1D, SREK1IP1, TIMP1, MYL9) following the GTSF1 kd were associated with developmental competence, RNA storage, post-transcriptional modifications and translation. Immunofluorescent studies localized GTSF1 protein to the P-body in GV ovine oocytes. Collectively these results suggest a possible role of GTSF1 in post-transcriptional control of RNA processing, translational regulation and RNA storage which may impact on oocyte developmental competence.
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Arif, Amena. "Biochemical Mechanism of Gene Expression Silencing by piRNA-directed PIWI-Clade Argonautes." eScholarship@UMMS, 2021. https://escholarship.umassmed.edu/gsbs_diss/1154.

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Argonaute proteins are small DNA/RNA-guided endonucleases found in all domains of life. In animals, small RNAs of length 21–35 nucleotides direct the PIWI-clade of Argonautes to silence complementary target RNAs; these are called PIWI-interacting RNAs (piRNAs). During spermatogenesis in mice, piRNA-guided PIWI proteins, MIWI2, MILI, and MIWI, silence transposons, regulate expression of protein-coding genes and are necessary for fertility. A working endonuclease activity of MIWI and MILI is essential to complete spermatogenesis. Yet, both MIWI and MILI produce weak and slow target cleavage in vitro, thwarting biochemical examination of the silencing step. Here, we find that PIWI proteins require an auxiliary protein to efficiently cleave their targets, unlike any other known Argonaute. Gametocyte Specific Factor 1 (GTSF1) is a conserved zinc-finger protein essential for fertility and piRNA-directed silencing. We show GTSF1 accelerates the pre-steady-state rate of target cleavage by MIWI and MILI; this role of GTSF1 is also preserved in insects. A critical step in GTSF1 mechanism entails binding RNA. GTSF1 allowed detailed kinetic analyses of catalytic PIWIs: they require extensive 3′ complementarity between the guide and target to efficiently cleave them, but this base-pairing also limits turnover. Interestingly, within a species, different PIWI proteins have unique kinetic properties. In sum, our findings provide molecular mechanisms of GTSF1 function and target silencing by PIWIs as well as a useful method for future studies.
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O'Brien, Paul. "Biomolecular NMR spectroscopy: Application to the study of the piRNA-pathway protein GTSF1, and backbone and side-chain spin relaxation methods development." Thesis, 2019. https://doi.org/10.7916/d8-rg5e-gf61.

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The structural dynamics of proteins and other macromolecules typically serve crucial roles for their respective biological function. While rigid protein structures are used in classic “lock and key” descriptions of enzymology and receptor-ligand interactions, more and more evidence suggest that the majority of molecular interactions occur on the spectrum between induced-fit binding and conformational selection binding. This model of biomolecular interaction requires, to differing degrees, conformation plasticity and dynamics of the protein itself. To characterize the determinants and implications of protein dynamics, there exists no more suited biophysical technique than nuclear magnetic resonance (NMR) spectroscopy. This method is capable of probing the individual atomic nuclei of proteins in a site-specific manner. Furthermore, NMR spectroscopy is unique in being able to access timescales from picoseconds to seconds, providing information on events from bond vibration and libration to protein folding and ligand binding. The breadth of biophysical information accessible by NMR spectroscopy has led to its widespread use in the study of protein dynamics. The work presented herein involves i) the use of NMR for investigation of structure and dynamics in two separate biological systems that demonstrate a high degree of flexibility for folded proteins and ii) the improvement of pulse sequences and methodology for better characterizing picosecond to nanosecond backbone and side-chain dynamics. The organizing principle of this work, which is best exemplified in the structural studies of the piRNA-pathway protein Gametocyte-specific factor 1, is the unmatched capability of NMR spectroscopy to decipher molecular details within dynamic protein systems. First, the molecular structure and RNA-binding properties of gametocyte-specific factor 1 (GTSF1) of the piRNA effector pathway were investigated. A partially disordered protein with two Zn finger domains, the work presented here describes the isolation of a GTSF1 protein construct amendable to study by NMR spectroscopy. Chemical shift assignment of GTSF1 allowed site-specific observation of amide correlations, which established the basis for NMR structure calculation of GTSF1 and the evaluation of binding to candidate RNA sequences, with goal of the identification of an in vivo RNA binding partner for GTSF1. The work presents compelling data that indicate GTSF1 Zn finger 1 specifically binds a motif GGUUC(G/A) RNA, which in this study was found in the T-arm loop of transfer RNA. Zn finger 2 is affected by the interaction with RNA, but the available structural and binding data indicate that the second Zn finger is a more dynamic, breathable entity, supported by cysteine chemical shift and structural differences between the two GTSF1 Zn fingers. Although it’s currently speculative, the function of GTSF1 might first require binding of RNA to the more stable Zn finger 1, which then leaves Zn finger 2 poised for binding to another molecular species. tRNA-derived fragments that include the T-arm TC loop have been recently implicated in silencing of transposable elements in mammalian cells. GTSF1, which was identified in a genetic screen for piRNA-pathway proteins as vitally required for gene silencing, might plausibly act as a sensor of transcription of transposable elements and help initiate Piwi-piRISCs-mediated chromatin modification and heterochromatin formation. Next, NMR spectroscopy is used to investigate protein thermostability in psychrophilic (cold-loving) cytochrome c552. Isolated from the bacterium Colwellia psychrerythraea (Cp), previous work has implicated two conserved Cpcyt c552 methionine residues, which are both conserved across psychrophilic and psychrotolerant cytochromes, as acting in dynamical ligand substitution with a third methionine that is the axial heme ligand. It is proposed that elevated backbone dynamics in these methionine residues and the ability for them swap into the axial ligand position accounts for an uncharacteristically high melting temperature (Tm) compared to meso- and thermophile c-type cytochromes. Progress was made in NMR sample preparation and backbone chemical shift assignment of both redox states of Cpcyt c552, and insight from 1D 1H NMR experiments focused on the heme group bound to Cp cytochrome c552 is discussed. Additionally, chemical shifts are used to predict protein dynamics as a first test of a multiple methionine axial ligand hypothesis. Initial data analysis predicts relatively large measures of Random Coil Index for residues surrounding the native axial heme ligand, and shows the hyperfine shifts localized to the residues surrounding the heme. Future experiments will selectively record methyl group dynamics of methionine residues for elucidation of rate constants of methionine substitution and to determine the structural properties of this minor conformation. Finally, two NMR methodology studies are presented in this thesis: a novel simultaneous-acquisition TROSY pulse sequence for measurement of backbone spin relaxation rates (R1 and {1H}-15N heteronuclear NOE) and a side-chain 2H spin relaxation method for using multifield experimental datasets for better sampling of the spectral density function. Together, these pulse sequences represent significant advancements in NMR measurement of microscopic rate constants and more nuanced detail of protein dynamics.
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Books on the topic "GTSE1"

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Biomolecular NMR spectroscopy: Application to the study of the piRNA-pathway protein GTSF1, and backbone and side-chain spin relaxation methods development. [New York, N.Y.?]: [publisher not identified], 2019.

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Conference papers on the topic "GTSE1"

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Perry, Dewayne E., and Don Batory. "A Theory about the Structure of GTSEs." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.13.

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Megawati, Rizna Triana Dewi, Hanny Mulyani, Faiza Maryani, Puspa Dewi N. Lotullung, and Minarti. "Rubrofusarin from Aspergillus niger GTS01-4 and its biological activity." In INTERNATIONAL SYMPOSIUM ON APPLIED CHEMISTRY (ISAC) 2016. Author(s), 2017. http://dx.doi.org/10.1063/1.4973153.

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Boehm, Barry. "General Theories of Software Engineering (GTSE): Key Criteria and an Example." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.18.

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Ralph, Paul, Gregor Engels, Ivar Jacobson, and Michael Goedicke. "4th SEMAT Workshop on General Theory of Software Engineering (GTSE 2015)." In 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE). IEEE, 2015. http://dx.doi.org/10.1109/icse.2015.316.

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Villarreal, Amelia Martínez, Jennifer Gantchev, and Ivan Litvinov. "Abstract 2415: The role of GTSF1 as a regulator of retrotransposons and its impact on carcinogenesis." In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-2415.

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Johnson, Pontus, Michael Goedicke, Ivar Jacobson, and Mira Kajko-Mattsson. "2nd SEMAT workshop on a general theory of software engineering (GTSE 2013)." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606769.

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"Committees." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.6.

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Barn, Balbir, and Ravinder Barn. "An Approximate Theory for Value Sensitivity." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.10.

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Ghazarian, Arbi. "A Theory of Software Complexity." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.11.

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Park, June Sung. "Essence-Based, Goal-Driven Adaptive Software Engineering." In 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering (GTSE). IEEE, 2015. http://dx.doi.org/10.1109/gtse.2015.12.

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