scholarly journals Regulation of Ribosomal RNA Synthesis in Myeloid Progenitors By Cell Type Specific Transcription Factors

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 11-12
Author(s):  
Charlesantony Aruljothi ◽  
Subin S George ◽  
Patrick Somers ◽  
Justin Blum ◽  
Chelsea Thorsheim ◽  
...  

Haematopoiesis relies on the ability of hematopoietic stem cells to progress through a systematic hierarchy to produce lineage-restricted progenitors that terminally differentiate into phenotypically distinct types of mature hematopoietic cells. This process is precisely coordinated by the combinatorial activity of lineage-specifying transcription factors (TFs). Indeed, the critical transcriptional program of every hematopoietic cell type, and indeed of all cell types throughout the body, requires a set of core TFs for its proper execution. A frequently-overlooked component of the cellular transcriptional program is the transcription of ribosomal RNA (rRNA), the major component of ribosomes. Ribosomal RNA comprises 90% of total cellular RNA, and its transcription from hundreds of rDNA genes by RNA polymerase I is one of the most intense transcriptional processes in the cell. Different progenitor and mature cell types in the hematopoietic tree have different sizes, ribosome abundances, and rates of protein synthesis. Tight control of ribosome abundance is essential for a normal cellular proteome, and different cell types within the hematopoietic tree have varied rRNA transcription rates. However, there has been limited study of the molecular basis of lineage-specific regulation of rDNA transcription in hematopoiesis. We explored the binding to rDNA of over twenty key hematopoietic TFs that were determined by the Broad Institute DepMap database to be crucial for survival of hematopoietic cell lines. Using a customized bioinformatics pipeline, we mapped over three hundred ChIP-Seq datasets for these factors (generated by us as well as publicly available from ENCODE and GEO) to mouse and human rDNA assemblies, and found that several essential hematopoietic TFs such as MYC, MYB, RUNX1, PU.1, CEBPA and others bind to rDNA at conserved sites and motifs (Fig A). MYC is well-known as a master regulator of rDNA, and RUNX1 was recently reported to bind rDNA, but most of the others have never been linked to rDNA, and their functional roles in regulating rDNA transcription have not been explored. We picked for further study CEBPA, a crucial TF required for specification of granulocyte-monocyte progenitors (GMPs). For our experiments, we used the mouse HOXA9-ER cell line, which mimics GMPs. We used CRISPR/Cas9 and homologous recombination to fuse FKBPV degron into bi-allelic endogenous loci of the Cebpa gene in HOXA9-ER cells, and, upon addition of dTAG-13 (the ligand for FKBPV), the CEBPA-FKBPV fusion protein could be rapidly degraded within 2 hours (Fig B, C), providing us an experimental system to study the immediate consequences of CEBPA loss. In order to quantify the rate of rRNA transcription, we devised an assay titled "47S FISH-Flow" that combined fluorescent in-situ hybridization (FISH) using probes against nascent 47S rRNA with flow cytometry (Fig D, E). This assay not only allows us to quantify the rate of rRNA transcription on a per-cell basis in millions of cells, but also allows us to separately gate and quantify rRNA transcription in different stages of the cell cycle, eliminating a major confounder in bulk cell studies - cell cycle distribution. Using 47S FISH-Flow, we observed that degradation of CEBPA in the HOXA9-ER mouse GMP cell line led to decrease in synthesis of 47S rRNA within hours (Fig F) before any change in cell cycle or growth kinetics, and was followed by growth arrest in 24 hours. In summary, we show that several critical hematopoietic TFs show abundant, conserved binding to rDNA, and the depletion of CEBPA rapidly reduces nascent rRNA, indicating that it directly promotes rRNA transcription. Our results, and the tools and experimental systems we have developed, shed light on an important and largely unexplored aspect of hematopoietic biology: the regulation of rRNA transcription by a wide range of lineage-specific hematopoietic TFs. Figure Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3269-3269
Author(s):  
Charles Antony ◽  
Subin S George ◽  
Justin Blum ◽  
Patrick Somers ◽  
Dexter Wu-corts ◽  
...  

Abstract Hematopoietic stem cells (HSCs) form a hierarchy of lineage restricted progenitor cells to produce mature hematopoietic cells that vary in function, size, proliferation, and protein synthesis rates. Different hematopoietic cells also vary in the rate of ribosomal RNA (rRNA) transcription, the key rate-limiting step in ribosome biogenesis that occurs in the nucleolus. Leukemic blast cells have long been identified by their prominent nucleoli, indicating high ribosome biogenesis rates (Fig A). Ribosome biogenesis is an extremely energy intensive process begins with transcription of multi-copy rDNA genes by RNA polymerase I (Pol I) to produce 47S precursor rRNA (pre-rRNA) which further processed into the generation of mature 18S, 5.8S, and 28S rRNA and assembled with 5S rRNA and 80 different ribosomal proteins to form mature ribosomes (Fig B). This process is highly dynamic and regulated at the level of rRNA transcription. Despite cell-type and disease-specific variations, rRNA transcription has long been considered a housekeeping process. Hence, cell or tissue type-specific regulation of rRNA transcription has rarely been explored. To identify cell-type-specific regulators of rRNA transcription in hematopoiesis, we mapped 2200 publicly available ChIP-Seq datasets representing 249 hematopoietic transcription factors (TFs) and epigenetic factors to create an atlas of hematopoietic TF-rDNA binding. We identified CEBPA that shows consistent and abundant binding to rDNA at a conserved, previously unknown motif in both species (Fig C). CEBPA is a myeloid lineage specific TF whose knockout leads to complete loss of all myeloid lineage cells. It is also frequently mutated (10%) in AML patients. So we picked CEBPA to further characterize its role in rRNA transcription. Since CEBPA deletion causes loss of granulocyte-monocyte progenitors (GMPs), we used the mouse HoxA9-ER cell line (which closely resembles GMPs). To study the immediate consequences of CEBPA loss, We generated a stable degron cell line by biallelically fusing FKBP degron into endogenous loci of Cebpa, enabling to rapidly degrade endogenous CEBPA protein on treatment with dTagV ligand (Fig D, E). To precisely quantify the rate of rRNA transcription, we developed a novel assay called '47S-FISH-Flow' that involves hybridizing fluorescent oligos unique to 5' end of 47S pre-rRNA, which only marks newly synthesized nascent rRNA in the nucleolus, and quantify using flow cytometry (Fig F, G). We found that depleting CEBPA caused rapid decrease in 47S rRNA level and occupancy of Pol I on rDNA (Fig H, I). In summary, we found that myeloid lineage specific TF CEBPA abundantly binds to a conserved motif in rDNA and the depletion of CEBPA rapidly reduces nascent 47S rRNA, indicating that it directly promotes rRNA transcription. Our results, and the tools and experimental systems we have developed, shed light on an important and largely unexplored aspect of hematopoietic biology: the regulation of rRNA transcription by lineage-specific hematopoietic TFs. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
John A. Halsall ◽  
Simon Andrews ◽  
Felix Krueger ◽  
Charlotte E. Rutledge ◽  
Gabriella Ficz ◽  
...  

AbstractChromatin configuration influences gene expression in eukaryotes at multiple levels, from individual nucleosomes to chromatin domains several Mb long. Post-translational modifications (PTM) of core histones seem to be involved in chromatin structural transitions, but how remains unclear. To explore this, we used ChIP-seq and two cell types, HeLa and lymphoblastoid (LCL), to define how changes in chromatin packaging through the cell cycle influence the distributions of three transcription-associated histone modifications, H3K9ac, H3K4me3 and H3K27me3. We show that chromosome regions (bands) of 10–50 Mb, detectable by immunofluorescence microscopy of metaphase (M) chromosomes, are also present in G1 and G2. They comprise 1–5 Mb sub-bands that differ between HeLa and LCL but remain consistent through the cell cycle. The same sub-bands are defined by H3K9ac and H3K4me3, while H3K27me3 spreads more widely. We found little change between cell cycle phases, whether compared by 5 Kb rolling windows or when analysis was restricted to functional elements such as transcription start sites and topologically associating domains. Only a small number of genes showed cell-cycle related changes: at genes encoding proteins involved in mitosis, H3K9 became highly acetylated in G2M, possibly because of ongoing transcription. In conclusion, modified histone isoforms H3K9ac, H3K4me3 and H3K27me3 exhibit a characteristic genomic distribution at resolutions of 1 Mb and below that differs between HeLa and lymphoblastoid cells but remains remarkably consistent through the cell cycle. We suggest that this cell-type-specific chromosomal bar-code is part of a homeostatic mechanism by which cells retain their characteristic gene expression patterns, and hence their identity, through multiple mitoses.


2020 ◽  
Author(s):  
Feng Tian ◽  
Fan Zhou ◽  
Xiang Li ◽  
Wenping Ma ◽  
Honggui Wu ◽  
...  

SummaryBy circumventing cellular heterogeneity, single cell omics have now been widely utilized for cell typing in human tissues, culminating with the undertaking of human cell atlas aimed at characterizing all human cell types. However, more important are the probing of gene regulatory networks, underlying chromatin architecture and critical transcription factors for each cell type. Here we report the Genomic Architecture of Cells in Tissues (GeACT), a comprehensive genomic data base that collectively address the above needs with the goal of understanding the functional genome in action. GeACT was made possible by our novel single-cell RNA-seq (MALBAC-DT) and ATAC-seq (METATAC) methods of high detectability and precision. We exemplified GeACT by first studying representative organs in human mid-gestation fetus. In particular, correlated gene modules (CGMs) are observed and found to be cell-type-dependent. We linked gene expression profiles to the underlying chromatin states, and found the key transcription factors for representative CGMs.HighlightsGenomic Architecture of Cells in Tissues (GeACT) data for human mid-gestation fetusDetermining correlated gene modules (CGMs) in different cell types by MALBAC-DTMeasuring chromatin open regions in single cells with high detectability by METATACIntegrating transcriptomics and chromatin accessibility to reveal key TFs for a CGM


2017 ◽  
Author(s):  
Scott Ronquist ◽  
Geoff Patterson ◽  
Markus Brown ◽  
Stephen Lindsly ◽  
Haiming Chen ◽  
...  

AbstractThe day we understand the time evolution of subcellular elements at a level of detail comparable to physical systems governed by Newton’s laws of motion seems far away. Even so, quantitative approaches to cellular dynamics add to our understanding of cell biology, providing data-guided frameworks that allow us to develop better predictions about, and methods for, control over specific biological processes and system-wide cell behavior. In this paper, we describe an approach to optimizing the use of transcription factors (TFs) in the context of cellular reprogramming. We construct an approximate model for the natural evolution of a cell cycle synchronized population of human fibroblasts, based on data obtained by sampling the expression of 22,083 genes at several time points along the cell cycle. In order to arrive at a model of moderate complexity, we cluster gene expression based on the division of the genome into topologically associating domains (TADs) and then model the dynamics of the TAD expression levels. Based on this dynamical model and known bioinformatics, such as transcription factor binding sites (TFBS) and functions, we develop a methodology for identifying the top transcription factor candidates for a specific cellular reprogramming task. The approach used is based on a device commonly used in optimal control. Our data-guided methodology identifies a number of transcription factors previously validated for reprogramming and/or natural differentiation. Our findings highlight the immense potential of dynamical models, mathematics, and data-guided methodologies for improving strategies for control over biological processes.Significance StatementReprogramming the human genome toward any desirable state is within reach; application of select transcription factors drives cell types toward different lineages in many settings. We introduce the concept of data-guided control in building a universal algorithm for directly reprogramming any human cell type into any other type. Our algorithm is based on time series genome transcription and architecture data and known regulatory activities of transcription factors, with natural dimension reduction using genome architectural features. Our algorithm predicts known reprogramming factors, top candidates for new settings, and ideal timing for application of transcription factors. This framework can be used to develop strategies for tissue regeneration, cancer cell reprogramming, and control of dynamical systems beyond cell biology.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Frederique Murielle Ruf-Zamojski ◽  
Michel A Zamojski ◽  
German Nudelman ◽  
Yongchao Ge ◽  
Natalia Mendelev ◽  
...  

Abstract The pituitary gland is a critical regulator of the neuroendocrine system. To further our understanding of the classification, cellular heterogeneity, and regulatory landscape of pituitary cell types, we performed and computationally integrated single cell (SC)/single nucleus (SN) resolution experiments capturing RNA expression, chromatin accessibility, and DNA methylation state from mouse dissociated whole pituitaries. Both SC and SN transcriptome analysis and promoter accessibility identified the five classical hormone-producing cell types (somatotropes, gonadotropes (GT), lactotropes, thyrotropes, and corticotropes). GT cells distinctively expressed transcripts for Cga, Fshb, Lhb, Nr5a1, and Gnrhr in SC RNA-seq and SN RNA-seq. This was matched in SN ATAC-seq with GTs specifically showing open chromatin at the promoter regions for the same genes. Similarly, the other classically defined anterior pituitary cells displayed transcript expression and chromatin accessibility patterns characteristic of their own cell type. This integrated analysis identified additional cell-types, such as a stem cell cluster expressing transcripts for Sox2, Sox9, Mia, and Rbpms, and a broadly accessible chromatin state. In addition, we performed bulk ATAC-seq in the LβT2b gonadotrope-like cell line. While the FSHB promoter region was closed in the cell line, we identified a region upstream of Fshb that became accessible by the synergistic actions of GnRH and activin A, and that corresponded to a conserved region identified by a polycystic ovary syndrome (PCOS) single nucleotide polymorphism (SNP). Although this locus appears closed in deep sequencing bulk ATAC-seq of dissociated mouse pituitary cells, SN ATAC-seq of the same preparation showed that this site was specifically open in mouse GT, but closed in 14 other pituitary cell type clusters. This discrepancy highlighted the detection limit of a bulk ATAC-seq experiment in a subpopulation, as GT represented ~5% of this dissociated anterior pituitary sample. These results identified this locus as a candidate for explaining the dual dependence of Fshb expression on GnRH and activin/TGFβ signaling, and potential new evidence for upstream regulation of Fshb. The pituitary epigenetic landscape provides a resource for improved cell type identification and for the investigation of the regulatory mechanisms driving cell-to-cell heterogeneity. Additional authors not listed due to abstract submission restrictions: N. Seenarine, M. Amper, N. Jain (ISMMS).


2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Yukimasa Takeda ◽  
Yoshinori Harada ◽  
Toshikazu Yoshikawa ◽  
Ping Dai

Recent studies have revealed that a combination of chemical compounds enables direct reprogramming from one somatic cell type into another without the use of transgenes by regulating cellular signaling pathways and epigenetic modifications. The generation of induced pluripotent stem (iPS) cells generally requires virus vector-mediated expression of multiple transcription factors, which might disrupt genomic integrity and proper cell functions. The direct reprogramming is a promising alternative to rapidly prepare different cell types by bypassing the pluripotent state. Because the strategy also depends on forced expression of exogenous lineage-specific transcription factors, the direct reprogramming in a chemical compound-based manner is an ideal approach to further reduce the risk for tumorigenesis. So far, a number of reported research efforts have revealed that combinations of chemical compounds and cell-type specific medium transdifferentiate somatic cells into desired cell types including neuronal cells, glial cells, neural stem cells, brown adipocytes, cardiomyocytes, somatic progenitor cells, and pluripotent stem cells. These desired cells rapidly converted from patient-derived autologous fibroblasts can be applied for their own transplantation therapy to avoid immune rejection. However, complete chemical compound-induced conversions remain challenging particularly in adult human-derived fibroblasts compared with mouse embryonic fibroblasts (MEFs). This review summarizes up-to-date progress in each specific cell type and discusses prospects for future clinical application toward cell transplantation therapy.


2006 ◽  
Vol 290 (6) ◽  
pp. L1216-L1226 ◽  
Author(s):  
Somshuvra Mukhopadhyay ◽  
Pravin B. Sehgal

Monocrotaline (MCT) causes pulmonary hypertension in the rat by a mechanism characterized by megalocytosis (enlarged cells with enlarged endoplasmic reticulum and Golgi and a cell cycle arrest) of pulmonary arterial endothelial (PAEC), arterial smooth muscle, and type II alveolar epithelial cells. In cell culture, although megalocytosis is associated with a block in entry into mitosis in both lung endothelial and epithelial cells, DNA synthesis is stimulated in endothelial but inhibited in epithelial cells. The molecular mechanism(s) for this dichotomy are unclear. While MCTP-treated PAEC and lung epithelial (A549) cells both showed an increase in the “promitogenic” transcription factor STAT3 levels and in the IL-6-induced nuclear pool of PY-STAT3, this was transcriptionally inactive in A549 but not in PAEC cells. This lack of transcriptional activity of STAT3 in A549 cells correlated with the cytoplasmic sequestration of the STAT3 coactivators CBP/p300 and SRC1/NcoA in A549 cells but not in PAEC. Both cell types displayed a Golgi trafficking block, loss of caveolin-1 rafts, and increased nuclear Ire1α, but an incomplete unfolded protein response (UPR) with little change in levels of UPR-induced chaperones including GRP78/BiP. There were discordant alterations in cell cycle regulatory proteins in the two cell types such as increase in levels of both cyclin D1 and p21 simultaneously, but with a decrease in cdc2/cdk1, a kinase required for entry into mitosis. While both cell types showed increased cytoplasmic geminin, the DNA synthesis-initiating protein Cdt1 was predominantly nuclear in PAEC but remained cytoplasmic in A549 cells, consistent with the stimulation of DNA synthesis in the former but an inhibition in the latter cell type. Thus differences in cell type-specific alterations in subcellular trafficking of critical regulatory molecules (such as CBP/p300, SRC1/NcoA, Cdt1) likely account for the dichotomy of the effects of MCTP on DNA synthesis in endothelial and epithelial cells.


PPAR Research ◽  
2007 ◽  
Vol 2007 ◽  
pp. 1-10 ◽  
Author(s):  
A. Cimini ◽  
L. Cristiano ◽  
E. Benedetti ◽  
B. D'Angelo ◽  
M. P. Cerù

PPAR isotypes are involved in the regulation of cell proliferation, death, and differentiation, with different roles and mechanisms depending on the specific isotype and ligand and on the differentiated, undifferentiated, or transformed status of the cell. Differentiation stimuli are integrated by key transcription factors which regulate specific sets of specialized genes to allow proliferative cells to exit the cell cycle and acquire specialized functions. The main differentiation programs known to be controlled by PPARs both during development and in the adult are placental differentiation, adipogenesis, osteoblast differentiation, skin differentiation, and gut differentiation. PPARs may also be involved in the differentiation of macrophages, brain, and breast. However, their functions in this cell type and organs still awaits further elucidation. PPARs may be involved in cell proliferation and differentiation processes of neural stem cells (NSC). To this aim, in this work the expression of the three PPAR isotypes and RXRs in NSC has been investigated.


2018 ◽  
Author(s):  
Nikos Konstantinides ◽  
Katarina Kapuralin ◽  
Chaimaa Fadil ◽  
Luendreo Barboza ◽  
Rahul Satija ◽  
...  

SummaryTranscription factors regulate the molecular, morphological, and physiological characters of neurons and generate their impressive cell type diversity. To gain insight into general principles that govern how transcription factors regulate cell type diversity, we used large-scale single-cell mRNA sequencing to characterize the extensive cellular diversity in the Drosophila optic lobes. We sequenced 55,000 single optic lobe neurons and glia and assigned them to 52 clusters of transcriptionally distinct single cells. We validated the clustering and annotated many of the clusters using RNA sequencing of characterized FACS-sorted single cell types, as well as marker genes specific to given clusters. To identify transcription factors responsible for inducing specific terminal differentiation features, we used machine-learning to generate a ‘random forest’ model. The predictive power of the model was confirmed by showing that two transcription factors expressed specifically in cholinergic (apterous) and glutamatergic (traffic-jam) neurons are necessary for the expression of ChAT and VGlut in many, but not all, cholinergic or glutamatergic neurons, respectively. We used a transcriptome-wide approach to show that the same terminal characters, including but not restricted to neurotransmitter identity, can be regulated by different transcription factors in different cell types, arguing for extensive phenotypic convergence. Our data provide a deep understanding of the developmental and functional specification of a complex brain structure.


2021 ◽  
Author(s):  
Helle Samdal ◽  
Siv Anita Hegre ◽  
Konika Chawla ◽  
Nina-Beate Liabakk ◽  
Per Arne Aas ◽  
...  

AbstractThe long non-coding RNA (lncRNA) EPB41L4A-AS1 is aberrantly expressed in various cancers and has been reported to be involved in metabolic reprogramming and as a repressor of the Warburg effect. Although the biological relevance of EPB41L4A-AS1 is evident, its functional role seems to vary depending on cell type and state of disease. By combining RNA sequencing and ChIP sequencing of cell cycle synchronized HaCaT cells we previously identified EPB41L4A-AS1 to be one of 59 lncRNAs with potential cell cycle functions. Here, we demonstrate that EPB41L4A-AS1 exists as bright foci and regulates gene expression in the nucleus in both cis and trans. Specifically, we find that EPB41L4A-AS1 positively regulates its sense overlapping gene EPB41L4A and influences expression of hundreds of other genes, including genes involved in cell proliferation. Finally, we show that EPB41L4A-AS1 affects cell cycle phase distribution, though these effects vary between cell types.


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