Biology subjects

Ghosh, S.

Publications and source records attributed to Ghosh, S..

At least 325 records · Page 18Linked to original sources

bioRxiv2020

A unique view of SARS-CoV-2 through the lens of ORF8 protein

Immune evasion is one of the unique characteristics of COVID-19 attributed to the ORF8 protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This protein is involved in modulating the host adaptive immunity through downregulating MHC (Major Histocompatibility Complex) molecules and innate immune responses by surpassing the interferon mediated antiviral response of the host. To understand the immune perspective of the host with respect to the ORF8 protein, a comprehensive study of the ORF8 protein as well as mutations possessed by it, is performed. Chemical and structural properties of ORF8 proteins from different hosts, that is human, bat and pangolin, suggests that the ORF8 of SARS-CoV-2 and Bat RaTG13-CoV are very much closer related than that of Pangolin-CoV. Eighty-seven mutations across unique variants of ORF8 (SARS-CoV-2) are grouped into four classes based on their predicted effects. Based on geolocations and timescale of collection, a possible flow of mutations was built. Furthermore, conclusive flows of amalgamation of mutations were endorsed upon sequence similarity and amino acid conservation phylogenies. Therefore, this study seeks to highlight the uniqueness of rapid evolving SARS-CoV-2 through the ORF8.

molecular biology↗

bioRxiv2020

Antioxidant nanozyme counteracts HIV-1 by modulating intracellular redox potential

Reactive oxygen species (ROS) regulates the proliferation of human immunodeficiency virus (HIV-1) and Mycobacterium tuberculosis (Mtb) inside the infected immune cells. However, the application of this knowledge to develop therapeutic strategies remained unsuccessful due to unfavorable consequences of manipulating cellular antioxidant systems that respond to ROS. Here, we show that vanadium pentoxide (V2O5) nanosheets functionally mimic the activity of natural glutathione peroxidase (GPX) to mitigate ROS associated with HIV-1 infection without triggering detrimental changes in cellular physiology. Using genetic reporters of glutathione (GSH) redox potential (EGSH; Grx1-roGFP2) and H2O2 (Orp1-roGFP2), we showed that V2O5-nanosheets catalyze GSH-dependent neutralization of ROS in HIV-1 infected cells. Notably, V2O5-nanosheets uniformly blocked HIV-1 reactivation, multiplication, and impaired survival of drug-resistant Mtb during HIV-TB co-infection. Mechanistically, V2O5-nanosheets suppressed HIV-1 by affecting the expression of pathways coordinating redox balance, virus transactivation (e.g., NF-{kappa}B and FOS), inflammation, and apoptosis. Importantly, a combination of V2O5-nanosheets with a pharmacological inhibitor of NF-{kappa}B (BAY11-7082) abrogated activation of HIV-1 from latency. Lastly, V2O5-nanosheets counteracted ROS, disease pathophysiology, and virus expression in HIV-1 transgenic mice. Our data successfully revealed the usefulness of V2O5-nanosheets against human pathogens and suggest nanozymes as future platforms to develop interventions against infectious diseases. Significance StatementRedox stress, such as those caused by the deregulation of the antioxidant glutathione, promotes the multiplication of human immunodeficiency virus-1 (HIV-1) and Mycobacterium tuberculosis (Mtb). Here we present a vanadium pentoxide (V2O5)-based antioxidant nanozyme that targets cells infected with HIV-1. The nanozyme, by mimicking the activity of glutathione peroxidase, reprograms redox signaling to subvert HIV-1 from monocytes, lymphocytes, and HIV-1 transgenic mice. Treatment with nanozyme bolsters the antiviral potential of immune cells by reducing the expression of genes involved in virus activation, inflammation, and apoptosis. The nanozyme also inhibited the proliferation of Mtb, which is a major cause of lethality in HIV patients. These V2O5-based nanozymes may be applied to numerous human pathogens where redox signaling contributes to disease progression.

bioengineering↗

bioRxiv2020

PU.1 drives specification of pluripotent stem cell-derived endothelial cells to LSEC-like cells

To date there is no representative in vitro model for liver sinusoidal endothelial cells (LSECs), as primary LSECs dedifferentiate very fast in culture and no combination of cytokines or growth factors can induce an LSEC fate in (pluripotent stem cell-derived) endothelial cells (ECs). Furthermore, the transcriptional programs driving an LSEC fate have not yet been described. Here, we first present a computational workflow (CenTFinder) that can identify transcription factors (TFs) that are crucial for modulating pathways involved in cell lineage specification. Using CenTFinder, we identified several novel LSEC-specific protein markers such as FCN2 and FCN3, which were validated by analysis of previously published single-cell RNAseq data. We also identified PU.1 (encoded by the SPI1 gene) as a major regulator of LSEC-specific immune functions. We show that SPI1 overexpression (combined with the general EC transcription factor ETV2) in human pluripotent stem cells (PSCs) induces ECs with an LSEC-like phenotype. The ETV2-SPI1-ECs display increased expression of LSEC markers such as CD32B and MRC1 as well as several of the proposed novel markers. More importantly, ETV2-SPI1-ECs acquire LSEC functions, including uptake of FSA-FITC as well as labelled IgG. In conclusion, we present the CenTFinder computational tool to identify key regulatory TFs within specific pathways, in this work pathways of lineage specification, and we demonstrate its use by the identification and validation of PU.1 as a master regulator for LSEC fating.

developmental biology↗

bioRxiv2020

Pathogenetic Perspective of Missense Mutations of ORF3a Protein of SARS-CoV2

One of the most important proteins for COVID-19 pathogenesis in SARS-CoV2 is the ORF3a protein which is the largest accessory protein among others accessory proteins coded by coronavirus genome. The major roles of the protein include virulence, infectivity, ion channel activity, morphogenesis and virus release. The coronavirus, SARS-CoV2 is continuously evolving naturally and thereby the encoded proteins are also mutating rapidly. Therefore, critical study of mutations in ORF3a is certainty important from the pathogenetic perspective. Here, a sum of 175 various non-synonymous mutations in the ORF3a protein of SARS-CoV2 are identified and their corresponding effects in structural stability and functions of the protein ORF3a are studied. Broadly three different classes of mutations, such as neutral, disease and mixed (neutral and disease) type mutations were observed. Consecutive mutations in some ORF3a proteins are established based on timeline of detection of mutations. Considering the amino acid compositions over the ORF3a primary protein sequences, twenty clusters are detected based on K-means clustering method. Our findings on 175 novel mutations of ORF3a proteins will extend our knowledge of ORF3a, a vital accessory protein in SARS-CoV2, which would assist to enlighten on the pathogenicity of this life-threatening COVID-19.

genomics↗

bioRxiv2020

Antibiofilm activity of Fmoc-phenylalanine against Gram-positive and Gram-negative bacterial biofilms

BackgroundBiofilm associated infections are the major contributor of mortality, morbidity and financial burden in patients with bacterial infection. Molecules with surfactant behaviour are known to show significant antibiofilm effect against these infections. Thus, newly discovered antibacterial Fmoc-phenylalanine (Fmoc-F) and other Fmoc-amino acids (Fmoc-AA) with surfactant properties, could have potential antibiofilm properties. ObjectivesTo evaluate and characterise the antibiofilm activity of Fmoc-F and some Fmoc-AA against various clinically relevant bacteria. MethodsBiofilm inhibition and eradication was evaluated by crystal violet staining procedure along with scanning electron microscopy (SEM). Attenuated Total Reflection - Fourier Transform Infrared Spectroscopy (ATR-FTIR), Biochemical assays and Congo red staining were employed to investigate mechanism of antibiofilm action. ResultsWe showed that Fmoc-F not only inhibits the biofilm formation in S. aureus and P. aeruginosa, but also eradicates the already formed biofilms over the surface. Further, Fmoc-F coated glass surface resists S. aureus and P. aeruginosa biofilm formation and attachment, when biofilm is grown over the surface. The mechanistic investigation suggests that Fmoc-F reduces the ECM components such as proteins carbohydrates and eDNA in the biofilm and affect its stability via direct interactions with ECM components and/ or indirectly through reducing bacterial cell population. Finally, we showed that Fmoc-F treatment in combination with other antibiotics such as vancomycin and ampicillin synergistically inhibit biofilm formation. ConclusionsOverall, the study demonstrates the potential application of Fmoc-F and other Fmoc-AA molecules individually as well as in combination as antibiofilm agents and antibiofilm coating material for treating biofilm associated infections.

microbiology↗

bioRxiv2020

ERβ regulated ovarian kisspeptin plays an important role in oocyte maturation

Kisspeptin (KISS1) signaling in the hypothalamic-pituitary (H-P) axis plays essential role in regulating gonadotropin secretion. KISS1 and KISS1 receptor (KISS1R) are also expressed in the ovary; however, the role of intraovarian KISS1 signaling remains largely unclear. Granulosa cell (GC)-specific expression of KISS1, and oocyte-specific expression of KISS1R indicate that GC-derived KISS1 may act on oocytes. Expression of KISS1 in GCs is induced by gonadotropins but it is absent in estrogen receptor {beta} knockout (Er{beta}null) rats. We also observed that gonadotropin stimulation failed to induce maturation of Er{beta}null oocytes. Interestingly, KISS1 treatment of cumulus oocyte complexes (COCs) isolated from antral follicles promotes in vitro maturation of oocytes. Treatment of oocytes with KISS1 induced intracellular Ca2+ release, and increased activation of MAP kinase ERK1/2. KISS1 treatment also induced the expression of oocyte genes that are crucial for differentiation of GCs, and maturation of oocytes. Our findings suggest that ovarian KISS1-signaling plays an important role in gonadotropin induced follicle development and oocyte maturation.

developmental biology↗

bioRxiv2020

β-Coronaviruses use lysosomal organelles for cellular egress.

{beta}-Coronaviruses are a family of positive-strand enveloped RNA viruses that include the severe acute respiratory syndrome-CoV2 (SARS-CoV2). While much is known regarding their cellular entry and replication pathways, their mode of egress remains uncertain; however, this is assumed to be via the biosynthetic secretory pathway by analogy to other enveloped viruses. Using imaging methodologies in combination with virus-specific reporters, we demonstrate that {beta}-Coronaviruses utilize lysosomal trafficking for egress from cells. This pathway is regulated by the Arf-like small GTPase Arl8b; thus, virus egress is insensitive to inhibitors of the biosynthetic secretory pathway. Coronavirus infection results in lysosome deacidification, inactivation of lysosomal degradation and disruption of antigen presentation pathways. This coronavirus-induced exploitation of lysosomes provides insights into the cellular and immunological abnormalities observed in patients and suggests new therapeutic modalities.

microbiology↗

bioRxiv2020

The transcriptional landscape of a hepatoma cell line grown on scaffolds of extracellular matrix proteins

The behavior of cells in vivo is complex and highly dynamic, as it results from an interplay between components of the intercellular matrix proteins with surface receptor and other microenvironmental cues. Although the effects of the cellular niche have been investigated for a number of cell types using different molecular approaches, comprehensive assessments of how the global transcriptome responds to 3D scaffolds composed of various extracellular matrix (ECM) constituents are still lacking. In this study, we explored the effect of the biomechanical parameters of Collagen I and Matrigel (ECM) on transcriptional gene regulation in a cell culture system. Using Huh-7 cells cultured on traditional cell culture plates or on the components of the ECM at different concentrations to modulate microenvironment properties, we have generated transcriptome sequencing data that may be further explored to understand the differentiation and growth potential of this cell for the development of 3D cultures. Assessment of the hepatocyte phenotype in relation to our transcriptomic data set would be very useful for the development of systems mimicking the in vivo structure and function of liver cells which still remains a challenge.

systems biology↗

bioRxiv2020

Artificial intelligence based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease

BackgroundIdentification of novel therapeutic targets is a key for successful drug development. However, the cost to experimentally identify therapeutic targets is huge and only 400 genes are targets for FDA-approved drugs. Therefore, it is inevitable to develop powerful computational tools to identify potential novel therapeutic targets. Because proteins make their functions together with their interacting partners, a protein-protein interaction network (PIN) in human could be a useful resource to build computational tools to investigate potential targets for therapeutic drugs. Network embedding methods, especially deep-learning based methods would be useful tools to extract an informative low-dimensional latent space that contains enough information required to fully represent original high-dimensional non-linear data of PINs. ResultsIn this study, we developed a deep learning based computational framework that extracts low-dimensional latent space embedded in high-dimensional data of the human PIN and uses the features in the latent space (latent features) to infer potential novel targets for therapeutic drugs. We examined the relationships between the latent features and the representative network metrics and found that the network metrics can explain a large number of the latent features, while several latent features do not correlate with all the network metrics. The results indicate that the features are likely to capture information that the representative network metrics can not capture, while the latent features also can capture information obtained from the network metrics. Our computational framework uses the latent features together with state-of-the-art machine learning techniques to infer potential drug target genes. We applied our computational framework to prioritized novel putative target genes for Alzheimers disease and successfully identified key genes for potential novel therapeutic targets (e.g., DLG4, EGFR, RAC1, SYK, PTK2B, SOCS1). Furthermore, based on these putative targets, we inferred repositionable candidate-compounds for the disease (e.g., Tamoxifen, Bosutinib, and Dasatinib) DiscussionsOur computational framework could be powerful computational tools to efficiently prioritize new therapeutic targets and drug repositioning. It is pertinent to note here that our computational platform is easily applicable to investigate novel potential targets and repositionable compounds for any diseases, especially for rare diseases.

bioinformatics↗

bioRxiv2020

DNA methylation in the upstream CpG island of the GPER locus and its relationship with GPER expression in colon cancer cell lines

The seven-transmembrane G-protein coupled estrogen receptor (GPER) relays short-term non-genomic responses in target cells and tissues. It is a proposed tumor suppressor, which frequently undergoes down-modulation in primary tumors of the breast, ovary, and endometrium. A study by Liu and co-workers reported the loss of GPER expression in colorectal cancer and attributed it to DNA methylation-dependent silencing. The present study is based on the hypothesis that GPER expression is inversely correlated with methylation in the upstream CpG island (upCpGi) in the GPER locus. Methylation in the upCpGi was analysed by bisulfite sequencing and correlated with GPER expression in a panel of colon cancer cell lines The bisulfite sequencing results show the presence of a differentially methylated region (DMR) comprising of the downstream eight CpGs of the upCpGi. Methylation in the DMR correlated inversely with GPER expression. We compared two cell lines, namely SW620 and COLO-320DM, in terms of their viability in response to varying concentrations of G1, a GPER specific agonist, which is known to induce cell cycle arrest and apoptosis in colon cancer cell lines. SW-620 cells, which had the least methylated DMR and the highest level of GPER expression, showed significant loss of viability with 1 μM G1. On the other hand, COLO-320DM, which had the most methylated DMR and the lowest level of GPER expression, did not show a significant response to 1 μM G1. At 5 μM G1, SW620 cells showed a greater reduction in viability than COLO-320DM cells. Our study demonstrates the inverse correlation between DNA methylation in the DMR and GPER expression. GPER is a non-canonical form of estrogen receptor, and estrogen is believed to exert its oncoprotective effect in the colon via GPER. DNA methylation-dependent silencing of GPER may, at least in part, the underlying reason behind the loss of estrogen’s oncoprotective effect in the colon. Future studies should explore the utility of DNA methylation in the upCpGi, particularly the DMR, in diagnosis or prognosis.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cancer biology↗

bioRxiv2020

Publicly available hiPSC lines with extreme polygenic risk scores for modeling schizophrenia

Schizophrenia (SZ) is a common and debilitating psychiatric disorder with limited effective treatment options. Although highly heritable, risk for this polygenic disorder depends on the complex interplay of hundreds of common and rare variants. Translating the growing list of genetic loci significantly associated with disease into medically actionable information remains an important challenge. Thus, establishing platforms with which to validate the impact of risk variants in cell-type-specific and donor-dependent contexts is critical. Towards this, we selected and characterize a collection of twelve human induced pluripotent stem cell (hiPSC) lines derived from control donors with extremely low and high SZ polygenic risk scores (PRS). These hiPSC lines are publicly available at the California Institute for Regenerative Medicine (CIRM). The suitability of these extreme PRS hiPSCs for CRISPR-based isogenic comparisons of neurons and glia was evaluated across three independent laboratories, identifying 9 out of 12 meeting our criteria. We report a standardized resource of publicly available hiPSCs, with which we collectively commit to conducting future CRISPR-engineering, in order to facilitate comparison and integration of functional validation studies across the field of psychiatric genetics.Competing Interest StatementThe authors have declared no competing interest.View Full Text

genomics↗

bioRxiv2020

Mapping genetic effects on cellular phenotypes with "cell villages"

Tens of thousands of genetic variants shape human phenotypes, mostly by unknown cellular mechanisms. Here we describe Census-seq, a way to measure cellular phenotypes in cells from many people simultaneously. Analogous to pooled CRISPR screens but for natural variation, Census-seq associates cellular phenotypes to donors genotypes by quantifying the presence of each donors DNA in cell "villages" before and after sorting or selection for cellular traits of interest. Census-seq enables population-scale cell-biological phenotyping with low cost and high internal control. We demonstrate Census-seq through investigation of genetic effects on the SMN protein whose deficiency underlies spinal muscular atrophy (SMA). Census-seq quantified and mapped effects of many common alleles on SMN protein levels and response to SMN-targeted therapeutics, including a common, cryptic non-responder allele. We provide tools enabling population-scale cell experiments and explain how Census-seq can be used to map genetic effects on diverse cell phenotypes. O_FIG O_LINKSMALLFIG WIDTH=185 HEIGHT=200 SRC="FIGDIR/small/174383v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@169bf4borg.highwire.dtl.DTLVardef@18dd9c0org.highwire.dtl.DTLVardef@1d30ca5org.highwire.dtl.DTLVardef@e35bf0_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICensus-seq reveals how inherited genetic variation affects cell phenotypes C_LIO_LIGenetic analysis of cellular traits in cell villages of >100 donors C_LIO_LICharacterizing human alleles that shape SMN protein expression and drug responses C_LIO_LIDevelopment of protocols and software to enable cellular population genetics C_LI

genetics↗

bioRxiv2020

Microvillar cartography: a super-resolution single-molecule imaging method to map the positions of membrane proteins with respect to cellular surface topography

We introduce Microvillar Cartography (MC), a method to map proteins on cellular surfaces with respect to the membrane topography. The surfaces of many cells are not smooth, but are rather covered with various protrusions such as microvilli. These protrusions may play key roles in multiple cellular functions, due to their ability to control the distribution of specific protein assemblies on the cell surface. Thus, for example, we have shown that the T-cell receptor and several of its proximal signaling proteins reside on microvilli, while others are excluded from these projections. These results have indicated that microvilli can function as key signaling hubs for the initiation of the immune response. MC has facilitated our observations of particular surface proteins and their specialized distribution on microvillar and non-microvillar compartments. MC combines membrane topography imaging, using variable-angle total internal microscopy, with stochastic localization nanoscopy, which generates deep sub-diffraction maps of protein distribution. Since the method is based on light microscopy, it avoids some of the pitfalls inherent to electron-microscopy-based techniques, such as dehydration, carbon coating and immunogold clustering, and is amenable to future developments involving e.g. live-cell imaging. This Protocol details the procedures we developed for MC, which can be readily adopted to study a broad range of cell surface molecules and dissect their distribution within distinct surface assemblies under multiple cell activation states.

biophysics↗

bioRxiv2020

Sustained Androgen Receptor signaling is a determinant of melanoma cell growth potential and tumorigenesis

Melanoma is a benchmark of major clinical significance for cancer development with greater aggressiveness in the male than the female population. Surprisingly little is known on the role of androgen receptor (AR) signaling in the disease. Irrespectively of expression levels, genetic and pharmacological suppression of AR activity in a large panel of melanoma cells, derived from both male and female patients, suppresses proliferation and self-renewal potential while, conversely, increased AR expression or ligand stimulation enhance proliferation. AR gene silencing in multiple melanoma lines elicits a shared gene expression signature related to interferon- and inflammatory cytokines signaling with an inverse association with DNA repair-associated genes, which is significantly linked with better patients survival. AR plays an essential function in maintenance of genome integrity: in both cultured melanoma cells and tumors, loss of AR activity leads to chromosomal DNA breakage, leakage into the cytoplasm, and stimulator of interferon genes (STING) activation. In vivo, reduced tumorigenesis resulting from AR gene silencing or pharmacological inhibition is associated with intratumor macrophage infiltration and, in an immune competent mouse model, cytotoxic T cell activation. Although at different levels, androgens are produced in both male and female individuals and AR targeting provides an attractive therapy approach for improved management of melanoma irrespective of patients sex and gender. SignificanceThe study uncovers an essential role of androgen receptor (AR) signaling in melanoma cell expansion and tumorigenesis, with loss of AR activity inducing cellular senescence, genomic DNA breakage, a STING dependent inflammatory cascade and immune cells recruitment. Use of AR inhibitors as growth inhibitory and DNA damaging agents in melanoma cells can provide an attractive venue for new combination approaches for management of the disease.

cancer biology↗

bioRxiv2020

Impact of Comorbidities on the Expression of SARS-CoV-2 Viral Entry-Related Genes

Viral entry mechanisms for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are an important aspect of virulence. Proposed mechanisms involve host cell membrane-bound angiotensin-converting enzyme 2 (ACE2) and type II transmembrane serine proteases (TTSPs), such as transmembrane serine protease isoform 2 (TMPRSS2). The distribution of expression of these genes across cell types representing multiple organ systems in healthy individuals has been recently demonstrated. However, comorbidities such as diabetes and cardiovascular disease are highly prevalent in patients with Coronavirus Disease 2019 (COVID-19) and associated with worse outcomes. Whether these conditions contribute directly to SARS-CoV-2 virulence remain unclear. Here we show that the expression levels of ACE2, TMPRSS2 and other viral entry-related genes are modulated in target organs of select disease states. In tissues such as heart, which normally express ACE2 but minimal TMPRSS2, we found that TMPRSS2 as well as other TTSPs are elevated in individuals with comorbidities vs healthy individuals. Additionally, we found increased expression of viral entry-related genes in the settings of hypertension, cancer or smoking across target organ systems. Our results demonstrate that common comorbidities may contribute directly to SARS-CoV-2 virulence and suggest new therapeutic targets to improve outcomes in vulnerable patient populations.

microbiology↗

bioRxiv2020

Mitochondria Controlled mTORC1 Activation Compartmentalizes Translation Initiation Factor eIF4E to Augment Intracellular Trafficking and Extracellular Export of miRNA in Mammalian Cells

Defective intracellular trafficking and export of miRNAs has been observed in senescent mammalian cells having impaired mitochondrial potential. Similar to what happens in senescent cells, Uncoupling Protein 2 mediated depolarization of mitochondrial membrane potential results in progressive sequestration of miRNAs with polysomes and lowered release of miRNAs through extracellular vesicles. Supporting importance of mitochondrial membrane potential on miRNAs fate determination, impaired miRNA-trafficking process in growth retarded human cells has been found to be reversed in presence of Genipin an inhibitor of Uncoupling Protein 2. Mitochondrial detethering of endoplasmic reticulum in mitochondria depolarized cells, found to be responsible for defective compartmentalization of translation initiation factor eIF4E to ER attached polysomes. It causes retarded translation process of target mRNAs with rER attached polysomes to ensure reduced intracellular trafficking and extracellular export of miRNAs. We have identified a reduced activity of mTORC1 complex in mitochondria defective cells to cause reduced phosphorylation of eIF4E-BP1 to cause retarded eIF-4E targeting to ER attached polysome. Cumulatively, these data suggest intricate involvement of mitochondrial membrane potential and dynamics to determine stability of miRNAs in mammalian cells by affecting sub-cellular locations and export of miRNPs by affecting mTORC1 complex, the regulator of the protein translational machinery. Significance statementHow the reduced mitochondrial activity in growth retarded cells causes defective miRNA export is an open question. Mitochondrial defects induces a retarded subcellular miRNP trafficking in human cells to cause an upregulation in cellular miRNA content by reducing extracellular vesicle-mediated export of miRNA. We have identified a defective compartmentalization of translation initiation factor eIF4E in mitochondria-ER detethered mammalian cells to cause the retarded intracellular miRNA movement and export Activity of mTORC1 complex, a key regulator of protein translation in mammalian cells, is found to be responsible for ER-compartmentalization of eIF4E. mTORC1 activity reduction in growth retarded and mitochondria detethered cells influences the cell fate by acting on miRNA-mRNA axis. This is a unique way how mitochondrial activity is linked with protein translation and gene repression control in mammalian cells.

molecular biology↗

bioRxiv2020

Nutrient sensing pathways regulating adult reproductive diapause in C. elegans

Genetic and environmental manipulations, such as dietary restriction (DR), can improve both health span and lifespan in a wide range of organisms, including humans. Changes in nutrient intake trigger often overlapping metabolic pathways that can generate distinct or even opposite outputs depending on several factors, such as when DR occurs in the lifecycle of the organism or the nature of the changes in nutrients. Due to the complexity of metabolic pathways and the diversity in outputs, the underlying mechanisms regulating diet-associated pro-longevity are not yet well understood. Adult reproductive diapause (ARD) in the model organism Caenorhabditis elegans is a DR model that is associated with lengthened lifespan and reproductive potential (Angelo and Van Gilst 2009). As the metabolic pathways regulating ARD have not yet been explored in depth, we performed a candidate-based genetic screen analyzing select nutrient-sensing pathways to determine their contribution to the regulation of ARD. Focusing on the three phases of ARD (initiation, maintenance, and recovery), we find that ARD initiation is regulated by fatty acid metabolism, sirtuins, AMPK, and the O-linked N-acetyl glucosamine (O-GlcNAc) pathway. Although ARD maintenance was not significantly influenced by the nutrient sensors in our screen, we found that ARD recovery was modulated by energy sensing, stress response, insulin-like signaling, and the TOR pathway. We also discovered that fatty acid {beta}-oxidation regulates ARD initiation through a pathway involving the O-GlcNAc cycling enzyme, OGT-1, acting with the nuclear hormone receptor NHR-49. Consistent with these findings, our analysis revealed a change in levels of neutral lipids associated with ARD entry defects. Our findings thus identify novel conserved genetic pathways required for ARD entry and recovery and identify new genetic interactions that provide insight into the role of OGT and OGA.

genetics↗

bioRxiv2020

The Genetic Architecture of DNA Replication Timing in Human Pluripotent Stem Cells

DNA replication follows a strict spatiotemporal program that intersects with chromatin structure and gene regulation. However, the genetic basis of the mammalian DNA replication timing program is poorly understood1-3. To systematically identify genetic regulators of DNA replication timing, we exploited inter-individual variation in 457 human pluripotent stem cell lines from 349 individuals. We show that the human genomes replication program is broadly encoded in DNA and identify 1,617 cis-acting replication timing quantitative trait loci (rtQTLs4) - base-pair-resolution sequence determinants of replication initiation. rtQTLs function individually, or in combinations of proximal and distal regulators, to affect replication timing. Analysis of rtQTL locations reveals a histone code for replication initiation, composed of bivalent histone H3 trimethylation marks on a background of histone hyperacetylation. The H3 trimethylation marks are individually repressive yet synergize to promote early replication. We further identify novel positive and negative regulators of DNA replication timing, the former comprised of pluripotency-related transcription factors while the latter involve boundary elements. Human replication timing is controlled by a multi-layered mechanism that operates on target DNA sequences, is composed of dozens of effectors working combinatorially, and follows principles analogous to transcription regulation: a histone code, activators and repressors, and a promoter-enhancer logic.

genomics↗