Neighbourhoods in the yeast regulatory network in different physiological states

Author(s):  
Arthur M Lesk ◽  
Arun S Konagurthu

Abstract Motivation The gene expression regulatory network in yeast controls the selective implementation of the information contained in the genome sequence. We seek to understand how, in different physiological states, the network reconfigures itself to produce a different proteome. Results This article analyses this reconfiguration, focussing on changes in the local structure of the network. In particular, we define, extract and compare the 1-neighbourhoods of each transcription factor, where a 1-neighbourhood of a node in a network is the minimal subgraph of the network containing all nodes connected to the central node by an edge. We report the similarities and differences in the topologies and connectivities of these neighbourhoods in five physiological states for which data are available: cell cycle, DNA damage, stress response, diauxic shift and sporulation. Based on our analysis, it seems apt to regard the components of the regulatory network as ‘software’, and the responses to changes in state, ‘reprogramming’.

2020 ◽  
Author(s):  
Koyel Ghosh ◽  
Kamilla Ankær Brejndal ◽  
Clare L. Kirkpatrick

AbstractToxin-antitoxin (TA) systems are widespread in bacterial chromosomes but their functions remain enigmatic. Although many are transcriptionally upregulated by stress conditions, it is unclear what role they play in cellular responses to stress and to what extent the role of a given TA system homologue varies between different bacterial species. In this work we investigate the role of the DNA damage-inducible TA system HigBA of Caulobacter crescentus in the SOS response and discover that in addition to the toxin HigB affecting cell cycle gene expression through inhibition of the master regulator CtrA, HigBA possesses a transcription factor third component, HigC, which both auto-regulates the TA system and acts independently of it. Through HigC, the system exerts downstream effects on antibiotic (ciprofloxacin) resistance and cell cycle gene expression. HigB and HigC had inverse effects on cell cycle gene regulation, with HigB reducing and HigC increasing the expression of CtrA-dependent promoters. Neither HigBA nor HigC had any effect on formation of persister cells in response to ciprofloxacin. Rather, their role in the SOS response appears to be as transcriptional and post-transcriptional regulators of cell cycle-dependent gene expression, transmitting the status of the SOS response as a regulatory input into the cell cycle control network via CtrA.ImportanceAlmost all bacteria respond to DNA damage by upregulating a set of genes that helps them to repair and recover from the damage, known as the SOS response. The set of genes induced during the SOS response varies between species, but frequently includes toxin-antitoxin systems. However, it is unknown what the consequence of inducing these systems is, and whether they provide any benefit to the cells. We show here that the DNA damage-induced TA system HigBA of the asymmetrically dividing bacterium Caulobacter crescentus affects the cell cycle regulation of this bacterium. HigBA also has a transcription factor encoded immediately downstream of it, named here HigC, which controls expression of the TA system and potentially other genes as well. Therefore, this work identifies a new role for TA systems in the DNA damage response, distinct from non-specific stress tolerance mechanisms which had been proposed previously.


2021 ◽  
Vol 17 (10) ◽  
pp. e1009354
Author(s):  
Sergio Sarnataro ◽  
Andrea Riba ◽  
Nacho Molina

Proliferating cells experience a global reduction of transcription during mitosis, yet their cell identity is maintained and regulatory information is propagated from mother to daughter cells. Mitotic bookmarking by transcription factors has been proposed as a potential mechanism to ensure the reactivation of transcription at the proper set of genes exiting mitosis. Recently, mitotic transcription and waves of transcription reactivation have been observed in synchronized populations of human hepatoma cells. However, the study did not consider that mitotic-arrested cell populations progressively desynchronize leading to measurements of gene expression on a mixture of cells at different internal cell-cycle times. Moreover, it is not well understood yet what is the precise role of mitotic bookmarking on mitotic transcription as well as on the transcription reactivation waves. Ultimately, the core gene regulatory network driving the precise transcription reactivation dynamics remains to be identified. To address these questions, we developed a mathematical model to correct for the progressive desynchronization of cells and estimate gene expression dynamics with respect to a cell-cycle pseudotime. Furthermore, we used a multiple linear regression model to infer transcription factor activity dynamics. Our analysis allows us to characterize waves of transcription factor activities exiting mitosis and predict a core gene regulatory network responsible of the transcription reactivation dynamics. Moreover, we identified more than 60 transcription factors that are highly active during mitosis and represent new candidates of mitotic bookmarking factors which could be relevant therapeutic targets to control cell proliferation.


2020 ◽  
Author(s):  
Sergio Sarnataro ◽  
Andrea Riba ◽  
Nacho Molina

AbstractProliferating cells experience a global reduction of transcription during mitosis, yet their cell identity is maintained and regulatory information is propagated from mother to daughter cells. Mitotic bookmarking by transcription factors has been proposed as a potential mechanism to ensure the reactivation of transcription at the proper set of genes exiting mitosis. Recently, mitotic transcription and waves of transcription reactivation have been observed in synchronized populations of human hepatoma cells. However, the study did not consider that mitotic-arrested cell populations progressively desynchronize leading to measurements of gene expression on a mixture of cells at different internal cell-cycle times. Moreover, it is not well understood yet what is the precise role of mitotic bookmarking on mitotic transcription as well as on the transcription reactivation waves. Ultimately, the core gene regulatory network driving the precise transcription reactivation dynamics remains to be identified. To address these questions, we developed a mathematical model to correct for the progressive desynchronization of cells and estimate gene expression dynamics with respect to a cell-cycle pseudotime. Furthermore, we used a multiple linear regression model to infer transcription factor activity dynamics. Our analysis allows us to characterize waves of transcription factor activities exiting mitosis and identify a core gene regulatory network responsible of the transcription reactivation dynamics. Moreover, we identified more than 60 transcription factors that are highly active during mitosis and represent new candidates of mitotic bookmarking factors which could represent relevant therapeutic targets to control cell proliferation.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Lionel Condé ◽  
Yulemi Gonzalez Quesada ◽  
Florence Bonnet-Magnaval ◽  
Rémy Beaujois ◽  
Luc DesGroseillers

AbstractBackgroundStaufen2 (STAU2) is an RNA binding protein involved in the posttranscriptional regulation of gene expression. In neurons, STAU2 is required to maintain the balance between differentiation and proliferation of neural stem cells through asymmetric cell division. However, the importance of controlling STAU2 expression for cell cycle progression is not clear in non-neuronal dividing cells. We recently showed that STAU2 transcription is inhibited in response to DNA-damage due to E2F1 displacement from theSTAU2gene promoter. We now study the regulation of STAU2 steady-state levels in unstressed cells and its consequence for cell proliferation.ResultsCRISPR/Cas9-mediated and RNAi-dependent STAU2 depletion in the non-transformed hTERT-RPE1 cells both facilitate cell proliferation suggesting that STAU2 expression influences pathway(s) linked to cell cycle controls. Such effects are not observed in the CRISPR STAU2-KO cancer HCT116 cells nor in the STAU2-RNAi-depleted HeLa cells. Interestingly, a physiological decrease in the steady-state level of STAU2 is controlled by caspases. This effect of peptidases is counterbalanced by the activity of the CHK1 pathway suggesting that STAU2 partial degradation/stabilization fines tune cell cycle progression in unstressed cells. A large-scale proteomic analysis using STAU2/biotinylase fusion protein identifies known STAU2 interactors involved in RNA translation, localization, splicing, or decay confirming the role of STAU2 in the posttranscriptional regulation of gene expression. In addition, several proteins found in the nucleolus, including proteins of the ribosome biogenesis pathway and of the DNA damage response, are found in close proximity to STAU2. Strikingly, many of these proteins are linked to the kinase CHK1 pathway, reinforcing the link between STAU2 functions and the CHK1 pathway. Indeed, inhibition of the CHK1 pathway for 4 h dissociates STAU2 from proteins involved in translation and RNA metabolism.ConclusionsThese results indicate that STAU2 is involved in pathway(s) that control(s) cell proliferation, likely via mechanisms of posttranscriptional regulation, ribonucleoprotein complex assembly, genome integrity and/or checkpoint controls. The mechanism by which STAU2 regulates cell growth likely involves caspases and the kinase CHK1 pathway.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kalyan Mahapatra ◽  
Sujit Roy

AbstractAs like in mammalian system, the DNA damage responsive cell cycle checkpoint functions play crucial role for maintenance of genome stability in plants through repairing of damages in DNA and induction of programmed cell death or endoreduplication by extensive regulation of progression of cell cycle. ATM and ATR (ATAXIA-TELANGIECTASIA-MUTATED and -RAD3-RELATED) function as sensor kinases and play key role in the transmission of DNA damage signals to the downstream components of cell cycle regulatory network. The plant-specific NAC domain family transcription factor SOG1 (SUPPRESSOR OF GAMMA RESPONSE 1) plays crucial role in transducing signals from both ATM and ATR in presence of double strand breaks (DSBs) in the genome and found to play crucial role in the regulation of key genes involved in cell cycle progression, DNA damage repair, endoreduplication and programmed cell death. Here we report that Arabidopsis exposed to high salinity shows generation of oxidative stress induced DSBs along with the concomitant induction of endoreduplication, displaying increased cell size and DNA ploidy level without any change in chromosome number. These responses were significantly prominent in SOG1 overexpression line than wild-type Arabidopsis, while sog1 mutant lines showed much compromised induction of endoreduplication under salinity stress. We have found that both ATM-SOG1 and ATR-SOG1 pathways are involved in the salinity mediated induction of endoreduplication. SOG1was found to promote G2-M phase arrest in Arabidopsis under salinity stress by downregulating the expression of the key cell cycle regulators, including CDKB1;1, CDKB2;1, and CYCB1;1, while upregulating the expression of WEE1 kinase, CCS52A and E2Fa, which act as important regulators for induction of endoreduplication. Our results suggest that Arabidopsis undergoes endoreduplicative cycle in response to salinity induced DSBs, showcasing an adaptive response in plants under salinity stress.


2019 ◽  
Vol 105 (3) ◽  
pp. 839-853
Author(s):  
Aglaia Kyrilli ◽  
David Gacquer ◽  
Vincent Detours ◽  
Anne Lefort ◽  
Frédéric Libert ◽  
...  

Abstract Background The early molecular events in human thyrocytes after 131I exposure have not yet been unravelled. Therefore, we investigated the role of TSH in the 131I-induced DNA damage response and gene expression in primary cultured human thyrocytes. Methods Following exposure of thyrocytes, in the presence or absence of TSH, to 131I (β radiation), γ radiation (3 Gy), and hydrogen peroxide (H2O2), we assessed DNA damage, proliferation, and cell-cycle status. We conducted RNA sequencing to profile gene expression after each type of exposure and evaluated the influence of TSH on each transcriptomic response. Results Overall, the thyrocyte responses following exposure to β or γ radiation and to H2O2 were similar. However, TSH increased 131I-induced DNA damage, an effect partially diminished after iodide uptake inhibition. Specifically, TSH increased the number of DNA double-strand breaks in nonexposed thyrocytes and thus predisposed them to greater damage following 131I exposure. This effect most likely occurred via Gα q cascade and a rise in intracellular reactive oxygen species (ROS) levels. β and γ radiation prolonged thyroid cell-cycle arrest to a similar extent without sign of apoptosis. The gene expression profiles of thyrocytes exposed to β/γ radiation or H2O2 were overlapping. Modulations in genes involved in inflammatory response, apoptosis, and proliferation were observed. TSH increased the number and intensity of modulation of differentially expressed genes after 131I exposure. Conclusions TSH specifically increased 131I-induced DNA damage probably via a rise in ROS levels and produced a more prominent transcriptomic response after exposure to 131I.


mSphere ◽  
2018 ◽  
Vol 3 (6) ◽  
Author(s):  
Kyle R. Pomraning ◽  
Erin L. Bredeweg ◽  
Eduard J. Kerkhoven ◽  
Kerrie Barry ◽  
Sajeet Haridas ◽  
...  

ABSTRACTThe yeastYarrowia lipolyticaundergoes a morphological transition from yeast-to-hyphal growth in response to environmental conditions. A forward genetic screen was used to identify mutants that reliably remain in the yeast phase, which were then assessed by whole-genome sequencing. All thesmoothmutants identified, so named because of their colony morphology, exhibit independent loss of DNA at a repetitive locus made up of interspersed ribosomal DNA and short 10- to 40-mer telomere-like repeats. The loss of repetitive DNA is associated with downregulation of genes with stress response elements (5′-CCCCT-3′) and upregulation of genes with cell cycle box (5′-ACGCG-3′) motifs in their promoter region. The stress response element is bound by the transcription factor Msn2p inSaccharomyces cerevisiae. We confirmed that theY. lipolyticamsn2(Ylmsn2) ortholog is required for hyphal growth and found that overexpression of Ylmsn2enables hyphal growth insmoothstrains. The cell cycle box is bound by the Mbp1p/Swi6p complex inS. cerevisiaeto regulate G1-to-S phase progression. We found that overexpression of either the Ylmbp1or Ylswi6homologs decreased hyphal growth and that deletion of either Ylmbp1or Ylswi6promotes hyphal growth insmoothstrains. A second forward genetic screen for reversion to hyphal growth was performed with thesmooth-33mutant to identify additional genetic factors regulating hyphal growth inY. lipolytica. Thirteen of the mutants sequenced from this screen had coding mutations in five kinases, including the histidine kinases Ylchk1and Ylnik1and kinases of the high-osmolarity glycerol response (HOG) mitogen-activated protein (MAP) kinase cascade Ylssk2, Ylpbs2, and Ylhog1. Together, these results demonstrate thatY. lipolyticatransitions to hyphal growth in response to stress through multiple signaling pathways.IMPORTANCEMany yeasts undergo a morphological transition from yeast-to-hyphal growth in response to environmental conditions. We used forward and reverse genetic techniques to identify genes regulating this transition inYarrowia lipolytica. We confirmed that the transcription factor Ylmsn2is required for the transition to hyphal growth and found that signaling by the histidine kinases Ylchk1and Ylnik1as well as the MAP kinases of the HOG pathway (Ylssk2, Ylpbs2, and Ylhog1) regulates the transition to hyphal growth. These results suggest thatY. lipolyticatransitions to hyphal growth in response to stress through multiple kinase pathways. Intriguingly, we found that a repetitive portion of the genome containing telomere-like and rDNA repeats may be involved in the transition to hyphal growth, suggesting a link between this region and the general stress response.


Author(s):  
Vicente Herrero-Aguayo ◽  
Prudencio Sáez-Martínez ◽  
Juan L López-Cánovas ◽  
Juan J Prados-Carmona ◽  
María D Alcántara-Laguna ◽  
...  

Abstract Background Obesity is a metabolic-chronic disease with important associated morbidities and mortality. Bariatric-surgery is the most effective treatment for maintaining long-term weight-loss in severe obesity and consequently for decreasing obesity-related complications, including chronic inflammation. Aim To explore changes in components of the inflammasome-machinery after bariatric-surgery and their relations with clinical/biochemical-parameters at baseline and six-months after bariatric-surgery. Patients and methods 22 patients with morbid-obesity that underwent bariatric-surgery (sleeve-gastrectomy and roux-en-Y gastric bypass) were included. Epidemiological/clinical/anthropometric/biochemical evaluation was performed at baseline and six-months after bariatric-surgery. Inflammasome-components and inflammatory-associated factors [NOD-like-receptors (NLRs); inflammasome-activation-components; cytokines and inflammation/apoptosis-related components; and cell-cycle and DNA-damage regulators) were evaluated in peripheral-blood mononuclear-cells (PBMCs) at baseline and six-months after bariatric-surgery. Clinical-molecular correlations/associations were analyzed. Functional parameters (lipid-accumulation/viability/apoptosis) were analyzed in response to specific inflammasome-components silencing in liver HEPG2-cells-). Results A profound dysregulation of inflammasome-components after bariatric-surgery was found, especially in NOD-like-receptors, cell-cycle and DNA-damage regulators. Several components were associated to baseline metabolic comorbidities including type-2-diabetes (CCL2/CXCR1/SIRT1), hypertension (AIM2/ASC/P2RX7) and dyslipidemia (CXCL3/NLRP7), and displayed changes in their molecular profile six-months after bariatric-surgery. Gene-expression fingerprint of certain factors (NLRC4/NLRP12/CXCL3/CCL8/TLR4) accurately differentiated pre- and post-operative PBMCs. Most changes were independent of the performed surgical technique. Silencing of NLRC4/NLRP12- resulted in altered lipid-accumulation, apoptosis-rate and cell-viability in HEPG2-cells. Conclusion Bariatric-surgery induces a profound alteration in gene-expression pattern of components of the inflammasome-machinery in PBMCs. Expression and changes of certain inflammasome-components are associated to baseline metabolic comorbidities, including type-2-diabetes, and may be related to the improvement and reversion of some obesity-related comorbidities after bariatric-surgery.


Author(s):  
Annemarie E. M. Post ◽  
Johan Bussink ◽  
Fred C. G. J. Sweep ◽  
Paul N. Span

Tamoxifen-induced radioresistance, reported in vitro, might pose a problem for patients who receive neoadjuvant tamoxifen treatment and subsequently receive radiotherapy after surgery. Previous studies suggested that DNA damage repair or cell cycle genes are involved, and could therefore be targeted to preclude the occurrence of cross-resistance. We aimed to characterize the observed cross-resistance by investigating gene expression of DNA damage repair genes and cell cycle genes in estrogen receptor-positive MCF-7 breast cancer cells that were cultured to tamoxifen resistance. RNA sequencing was performed, and expression of genes characteristic for several DNA damage repair pathways was investigated, as well as expression of genes involved in different phases of the cell cycle. The association of differentially expressed genes with outcome after radiotherapy was assessed in silico in a large breast cancer cohort. None of the DNA damage repair pathways showed differential gene expression in tamoxifen-resistant cells compared to wild-type cells. Two DNA damage repair genes were more than two times upregulated (NEIL1 and EME2), and three DNA damage repair genes were more than two times downregulated (PCNA, BRIP1, and BARD1). However, these were not associated with outcome after radiotherapy in the TCGA breast cancer cohort. Genes involved in G1, G1/S, G2, and G2/M phases were lower expressed in tamoxifen-resistant cells compared to wild-type cells. Individual genes that were more than two times upregulated (MAPK13) or downregulated (E2F2, CKS2, GINS2, PCNA, MCM5, and EIF5A2) were not associated with response to radiotherapy in the patient cohort investigated. We assessed the expression of DNA damage repair genes and cell cycle genes in tamoxifen-resistant breast cancer cells. Though several genes in both pathways were differentially expressed, these could not explain the cross-resistance for irradiation in these cells, since no association to response to radiotherapy in the TCGA breast cancer cohort was found.


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