scholarly journals Stress induced Differential Expression of THAP9 & THAP9-AS1 in the S-phase of cell cycle

2021 ◽  
Author(s):  
Vasudha Sharma ◽  
Prachi Thakore ◽  
Meena Krishnan ◽  
Sharmistha Majumdar

AbstractTransposable elements function as one of the major effectors in response to biological or environmental stress. Under normal conditions, host organisms deploy epigenetic and post-transcriptional machinery (histone modifications, chromatin remodelers, long non-coding RNAs (lncRNAs)) at the TE sites to contain their mobility. But many a times, the chromatin architecture undergoes TE induced changes under the effect of stress that in turn might lead to unprecedented gene expression. LncRNAs are emerging as a crucial tool in the regulation of TEs. TEs possess remarkable abilities to respond in the face of stress, ranging from undetected mutations to changing the regulatory landscape of the host. Although the relationship between stress response and TE activation/deactivation is well acknowledged but our understanding of the mechanism of regulation remains poor.This study focuses on the gene expression of THAP9, a domesticated transposon and lncRNA THAP9-AS1 (THAP9-anti sense1), which form a sense and anti-sense gene pair with a promoter overlap of approximately 350bp. The two genes exhibit different patterns of gene expression under different types of stresses in the S-phase of the cell cycle. THAP9-AS1 is always upregulated under stress whereas THAP9 exhibits both downregulation and upregulation in different stresses. Both THAP9 and THAP9-AS1 exhibit a periodic gene expression throughout the S-phase which is a characteristic of cell cycle regulated genes.

Author(s):  
Vasudha Sharma ◽  
Prachi Thakore ◽  
Meena Krishnan ◽  
Sharmistha Majumdar

Transposable elements (TE) function as one of the major effectors to respond to biological or environmental stress. The mobility of TEs, which is heavily controlled under normal conditions, may be activated by stress. LncRNAs are emerging as a crucial tool in the regulation of TEs. This study focuses on the gene expression of THAP9, a domesticated transposon and lncRNA THAP9-AS1 (THAP9-antisense1), which form a sense and antisense gene pair with a promoter overlap of approximately 350bp. Under basal conditions, THAP9 is preferentially transcribed while THAP9-AS1 is heavily down-regulated. In the S-phase of the cell cycle, THAP9 expression exhibits stress-specific effects ranging from moderate enhancement to no change. On the other hand, THAP9-AS1, which has previously been reported to be upregulated in several cancers, always demonstrates enhanced expression under stress. Moreover, THAP9-AS1 is transcriptionally favoured during stress since the stress-induced fold-increase of THAP-AS1 expression is always higher than THAP9. Interestingly, the expression of both THAP9 and THAP9-AS1 exhibit a striking periodicity throughout the S-phase, reminiscent of cell cycle regulated genes. Thus, this study sets the stage to further explore the relationship between THAP9 and THAP9-AS1 and investigate THAP9-AS1’s potential regulatory role during stress.


Cell Reports ◽  
2020 ◽  
Vol 31 (6) ◽  
pp. 107629
Author(s):  
Ozlem Yildirim ◽  
Enver C. Izgu ◽  
Manashree Damle ◽  
Vladislava Chalei ◽  
Fei Ji ◽  
...  

2019 ◽  
Vol 18 (2) ◽  
pp. 21-26
Author(s):  
E. A. Shestakova ◽  
T. A. Bogush

Introduction . Inactive X chromosome (Xi) is associated with noncoding XIST RNA, series of proteins and contains multiple epigenetic modifications that altogether determine a silence of the most of X-linked genes. Recently the data were obtained that tumor suppressor BRCA1 is also associated with Xi. The purpose of this study was to reveal the colocalization of BRCA1 and XIST RNA and precise spatial organization on Xi with the high resolution of confocal microscopy.Materials and methods . The object of the study is IMR90hTERT diploid immortalized fibroblast cell line. For BRCA1 and XIST RNA colocalization analysis on Xi the method of fluorescent hybridization in situ associated with immunofluorescent cell staining (immunoFISH) and confocal microscopy were used. For BRCA1 and heterochromatin protein-1 colocalization study the method of double immunofluorescent staining and common fluorescent microscopy were applied. Results . The study using confocal fluorescent microscopy with higher resolution has demonstrated at first the colocalization of BRCA1 with XIST RNA region of Xi revealed with XIST RNA probes and with replicating Xi and autosomes revealed with BrdU in late S-phase of cell cycle. Altogether, the data obtained suggest the involvement of BRCA1 in the inhibition of gene expression on Xi due to the regulation of XIST RNA association with Xi. Moreover, according to the results of confocal microscopy, BRCA1 also colocalizes with replicating Xi and autosomes revealed with BrdU in late S-phase of cell cycle. This indicates a possible involvement of this protein in the replication of pericentromeric repeats in cellular chromosomes. Colocalization of BRCA1 with heterochromatin protein-1α presented in pericentromeric regions of all chromosomes supports this suggestion.Conclusions . Altogether, the data obtained in this study suggest the involvement of BRCA1 in the inhibition of gene expression on Xi due to the association with noncoding inhibiting XIST RNA and in replication of heterochromatin regions. 


2019 ◽  
Vol 11 (10) ◽  
pp. 886-898 ◽  
Author(s):  
Cai Han ◽  
Lin-Yu Sun ◽  
Wen-Tao Wang ◽  
Yu-Meng Sun ◽  
Yue-Qin Chen

Abstract Chromosomal translocation leads to the juxtaposition of two otherwise separate DNA loci, which could result in gene fusion. These rearrangements at the DNA level are catastrophic events and often have causal roles in tumorigenesis. The oncogenic DNA messages are transferred to RNA molecules, which are in most cases translated into cancerous fusion proteins. Gene expression programs and signaling pathways are altered in these cytogenetically abnormal contexts. Notably, non-coding RNAs have attracted increasing attention and are believed to be tightly associated with chromosome-rearranged cancers. These RNAs not only function as modulators in downstream pathways but also directly affect chromosomal translocation or the associated products. This review summarizes recent research advances on the relationship between non-coding RNAs and chromosomal translocations and on diverse functions of non-coding RNAs in cancers with chromosomal rearrangements.


2012 ◽  
Vol 23 (16) ◽  
pp. 3079-3093 ◽  
Author(s):  
Gavin D. Grant ◽  
Joshua Gamsby ◽  
Viktor Martyanov ◽  
Lionel Brooks ◽  
Lacy K. George ◽  
...  

We developed a system to monitor periodic luciferase activity from cell cycle–regulated promoters in synchronous cells. Reporters were driven by a minimal human E2F1 promoter with peak expression in G1/S or a basal promoter with six Forkhead DNA-binding sites with peak expression at G2/M. After cell cycle synchronization, luciferase activity was measured in live cells at 10-min intervals across three to four synchronous cell cycles, allowing unprecedented resolution of cell cycle–regulated gene expression. We used this assay to screen Forkhead transcription factors for control of periodic gene expression. We confirmed a role for FOXM1 and identified two novel cell cycle regulators, FOXJ3 and FOXK1. Knockdown of FOXJ3 and FOXK1 eliminated cell cycle–dependent oscillations and resulted in decreased cell proliferation rates. Analysis of genes regulated by FOXJ3 and FOXK1 showed that FOXJ3 may regulate a network of zinc finger proteins and that FOXK1 binds to the promoter and regulates DHFR, TYMS, GSDMD, and the E2F binding partner TFDP1. Chromatin immunoprecipitation followed by high-throughput sequencing analysis identified 4329 genomic loci bound by FOXK1, 83% of which contained a FOXK1-binding motif. We verified that a subset of these loci are activated by wild-type FOXK1 but not by a FOXK1 (H355A) DNA-binding mutant.


1993 ◽  
Vol 13 (6) ◽  
pp. 3577-3587 ◽  
Author(s):  
E A Musgrove ◽  
J A Hamilton ◽  
C S Lee ◽  
K J Sweeney ◽  
C K Watts ◽  
...  

Cyclins and proto-oncogenes including c-myc have been implicated in eukaryotic cell cycle control. The role of cyclins in steroidal regulation of cell proliferation is unknown, but a role for c-myc has been suggested. This study investigated the relationship between regulation of T-47D breast cancer cell cycle progression, particularly by steroids and their antagonists, and changes in the levels of expression of these genes. Sequential induction of cyclins D1 (early G1 phase), D3, E, A (late G1-early S phase), and B1 (G2 phase) was observed following insulin stimulation of cell cycle progression in serum-free medium. Transient acceleration of G1-phase cells by progestin was also accompanied by rapid induction of cyclin D1, apparent within 2 h. This early induction of cyclin D1 and the ability of delayed administration of antiprogestin to antagonize progestin-induced increases in both cyclin D1 mRNA and the proportion of cells in S phase support a central role for cyclin D1 in mediating the mitogenic response in T-47D cells. Compatible with this hypothesis, antiestrogen treatment reduced the expression of cyclin D1 approximately 8 h before changes in cell cycle phase distribution accompanying growth inhibition. In the absence of progestin, antiprogestin treatment inhibited T-47D cell cycle progression but in contrast did not decrease cyclin D1 expression. Thus, changes in cyclin D1 gene expression are often, but not invariably, associated with changes in the rate of T-47D breast cancer cell cycle progression. However, both antiestrogen and antiprogestin depleted c-myc mRNA by > 80% within 2 h. These data suggest the involvement of both cyclin D1 and c-myc in the steroidal control of breast cancer cell cycle progression.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 4217-4217
Author(s):  
Gerald A. Colvin ◽  
Dooner Gerri ◽  
Delia Demers ◽  
Shiela Pascual ◽  
Samuel Chung ◽  
...  

Abstract Hierarchical models of hematopoiesis suppose an ordered system in which stem cells and progenitors with specific fixed differentiation potentials exist. We show here that the potential of marrow stem cells to differentiate changes reversibly with cytokine-induced cell cycle transit. This along with other data strongly suggest that stem cell regulation is not based on the classic hierarchical model, but instead more on a functional continuum We have previously shown that hematopoietic stem cells reversibly shift their engraftment phenotype with cytokine induced cell cycle transit. Further work has shown that adhesion protein, cytokine receptor, gene expression and progenitor phenotypes also shift. Evolving data indicate the phenotype of murine marrow stem cells reversible change with cell cycle transit. Murine experiments have been performed on highly purified, quiescent G0-1 lineagenegativerhodaminelowHoeschtlow (LRH) marrow stem cells. When exposed to thrombopoietin, FLT3-ligand and steel factor, they synchronously pass through cell cycle as measured by propidium iodide, cell doublings and tritiated thymidine. LRH cells enter S-phase in a synchronized fashion by 18 hours, leave S-phase at 40–42 hours and divide between 44–48 hours. The capacity of these cells to respond to a differentiation inductive signal (granulocyte colony-stimulating factor, granulocyte-macrophage colony stimulating factor and steel factor) is altered at different points in cell cycle. Megakaryocyte production is specifically focused at early to mid S-phase, this returned to baseline before the first cell division. Population based cultures after 14-days of differentiation culture produced up to 49% megakaryocytes with stem cells sub-cultured during early-mid S-phase with little to no production with colonies cultured from stem cells in G0-1 or G2 phase at time of differentiation induction signaling. Cell type was confirmed by staining cells with acetylcholinesterase, antibodies to platelet glycoprotein complex IIb/IIIa and von Willebrand’s factor. Evaluation of gene expression at this hotspot showed a marked increase in expression of CD4 with up to 464.2 fold increase above baseline. Sca-1 and transcriptional factor FOG was strikingly amplified at S-phase as well as other relevant markers. While pertinent cytokine receptors were not increased, studies on a clonal level confirm the existence of a reversible megakaryocytic hotspot. Compared with other time-points relating to cell cycle position prior to differentiation sub-culture in one experiment, 33% of clonally derived colonies that grew from early S-phase cells and 10% of colonies that grew from mid S-phase cells had megakaryocytes present two weeks after initiation of culture compared with 0% for G0-1 and G2 cells. Granulocyte differentiation also showed specific differentiation hotspots, but presentation is outside the scope of this abstract. These data indicate that marrow hematopoiesis stem cells exist in a continuum, not in a hierarchy with continuously changing windows of transcriptional opportunity.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2312-2312
Author(s):  
Glenda J. McGonigle ◽  
Damian P.J. Finnegan ◽  
Mary Frances McMullin ◽  
Terence R.J. Lappin ◽  
Alexander Thompson

Abstract Molecular classification of acute myeloid leukemia (AML) has identified several candidate genes that could potentially define prognosis and response to therapy. One such candidate, identified from microarray studies, is the Class I homeobox gene HOXA9. The HOX gene network encodes master regulators of developmental processes including hemopoiesis. To quantify the contribution of this network of genes in AML, we carried out specific RQ-PCR analysis on twenty-four de novo patient samples using a subset of genes (12 HOX and MEIS1) selected on the basis of their recently reported expression in AML. HOXA6 was ranked, as the most highly expressed gene (range 1 x 103 – 2 x 107 copies per 50 ng RNA), substantially higher than HOXA9 (see Table). Further analysis identified high expression of HOXA6 in both human myeloid cell lines and CD34+ enriched primary progenitors. Parallel studies with murine progenitors (c-Kit+, Lin−) and cell lines also showed a preponderance of Hoxa6 expression over other family members including Hoxa9 and Hoxb4. Several hemopoietic cell lines, namely Ba/F3, EML, FDCP-Mix A4 and 32Dcl3 were subsequently used to investigate Hoxa6 regulation following differentiation or growth factor stimuli. Hoxa6 expression decreased with cell differentiation and growth factor depletion/replenishment studies indicated a cell-cycle component for Hoxa6 regulation. Direct evaluation of cell-cycle status, using Hoechst 33342 staining and cell sorting, identified peak expression of Hoxa6 during S-phase. Gene deletion studies involving Hox tend to result in either a moderate or no phenotype, presumably due to intrinsic compensatory mechanisms. We therefore overexpressed HOXA6 in the Ba/F3 cell line to gain functional insights. Ba/F3-A6 cells were compared to mock-transfected and vector controls on the basis of proliferation, maturation, cell-cycle status, growth factor-dependence and apoptosis. The Ba/F3-A6 cells displayed a growth advantage over normal cells in the presence of IL-3 and maturation was not impaired. Cell-cycle analysis showed a reduction in the number of cells in both G2M and S-phase, associated with accumulation in the pre G1-phase, indicative of increased apoptosis. IL-3 depletion studies of Ba/F3-A6 cells indicated substantial factor-independent growth compared to controls, implying oncogenic potential for HOXA6. In support of this, a recent report (Mamo et al, Blood. 2006 Jul 15;108(2):622–9) indicated Hoxa6 as a potential collaborator in a Meis1-induced model of AML. Taken together these findings identify Hoxa6 as a novel candidate gene in AML with the capacity to alter growth and survival of hemopoietic cells. Gene Expression Ranking of HOX and MEIS1 in AML. GENE EXPRESSION RANGE MEAN RANK S.D. OVERALL RANK Expression values (copies per 50 ng RNA) compiled from primary AML patient samples (n=24) or * (n=12). S.D = standard deviation. HOXA6 1.2 x 103 – 1.7 x 107 2.2 1.6 1 HOXB3 9.3 x 101 – 8.4 x 106 3.2 2.5 2 HOXB2* 7.9 x 102 – 5.4 x 106 3.4 2.0 3 HOXA9 4.0 x 101 – 5.3 x 106 5.3 2.4 4 MEIS1 0.6 x 101 – 8.4 x 106 5.4 2.7 5 HOXA10* 2.4 x 102 – 1.7 x 105 5.5 3.2 6 HOXB4 1.5 x 102 – 7.8 x 105 5.5 3.2 7 HOXA7* 5.3 x 103 – 1.8 x 106 5.7 1.7 8 HOXB6 2.3 x 101 – 8.8 x 105 6.6 2.8 9 HOXA4 4.1 x 101 – 1.1 x 105 7.9 3.4 10 HOXA5* 3.4 x 101 – 4.3 x 104 9.3 2.8 11 HOXC6 1.0 x 101 – 3.2 x 103 9.7 2.3 12 HOXA11* 4.0 x 101 – 6.1 x 103 10.6 2.2 13


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