Faculty Opinions recommendation of Nascent RNA sequencing reveals distinct features in plant transcription.

Author(s):  
Chentao Lin
2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Karan Bedi ◽  
Michelle T Paulsen ◽  
Thomas E Wilson ◽  
Mats Ljungman

Abstract MicroRNAs (miRNAs) are key contributors to gene regulatory networks. Because miRNAs are processed from RNA polymerase II transcripts, insight into miRNA regulation requires a comprehensive understanding of the regulation of primary miRNA transcripts. We used Bru-seq nascent RNA sequencing and hidden Markov model segmentation to map primary miRNA transcription units (TUs) across 32 human cell lines, allowing us to describe TUs encompassing 1443 miRNAs from miRBase and 438 from MirGeneDB. We identified TUs for 61 miRNAs with an unknown CAGE TSS signal for MirGeneDB miRNAs. Many primary transcripts containing miRNA sequences failed to generate mature miRNAs, suggesting that miRNA biosynthesis is under both transcriptional and post-transcriptional control. In addition to constitutive and cell-type specific TU expression regulated by differential promoter usage, miRNA synthesis can be regulated by transcription past polyadenylation sites (transcriptional read through) and promoter divergent transcription (PROMPTs). We identified 197 miRNA TUs with novel promoters, 97 with transcriptional read-throughs and 3 miRNA TUs that resemble PROMPTs in at least one cell line. The miRNA TU annotation data resource described here reveals a greater complexity in miRNA regulation than previously known and provides a framework for identifying cell-type specific differences in miRNA transcription in cancer and cell transition states.


2017 ◽  
Vol 27 (11) ◽  
pp. 1816-1829 ◽  
Author(s):  
Noah Dukler ◽  
Gregory T. Booth ◽  
Yi-Fei Huang ◽  
Nathaniel Tippens ◽  
Colin T. Waters ◽  
...  

2020 ◽  
Author(s):  
Joseph C. Devlin ◽  
Jordan Axelrad ◽  
Ashley M. Hine ◽  
Shannon Chang ◽  
Suparna Sarkar ◽  
...  

ABSTRACTHow the human intestinal immune system is distinctly organized to respond to inflammation is still poorly understood. Here, we used single-cell RNA-sequencing to examine lamina propria CD45+ hematopoietic cells from patients with inflammatory bowel disease that have undergone ileal pouch-anal anastomosis, or the colon mucosa of ulcerative colitis patients. We identified a population of IL1B+ antimicrobial macrophages and FOXP3/+BATF+ T cells that are associated and expanded in inflamed tissues, which we further validated in other scRNA-seq datasets from IBD patients. CD8+ T cells were unexpectedly more abundant in the pouch than colon. Cell type specific markers obtained from single-cell RNA-sequencing was used to infer representation from bulk RNA sequencing datasets, which further implicated antimicrobial macrophages expressing IL1B with S100A8/A9 calprotectin as being associated with inflammation, as well as Bacteroides and Escherichia bacterial species. Finally, we find that non-responsiveness to anti-integrin biologic therapies in UC patients is associated with the signature of this antimicrobial macrophage population in a subset of patients. This study identified conserved and distinct features of intestinal inflammation between parts of the small and large intestine undergoing similar inflammation conditions.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 190-190
Author(s):  
Shady Adnan Awad ◽  
Helena Hohtari ◽  
Komal Kumar Javarappa ◽  
Tania Brandstoetter ◽  
Daehong Kim ◽  
...  

Introduction: The oncoprotein Bcr-Abl has two major isoforms, depending on the breakpoint in BCR gene, p190 and p210. While p210 is the hallmark of chronic myeloid leukemia (CML), p190 occurs in the majority of Philadelphia-positive acute lymphoblastic leukemia (Ph+ ALL) patients. p190 occurs as a sole transcript in 1-2% CML patients, associated with distinct features like monocytosis and frequent additional cytogenetic abnormalities (ACA) at diagnosis. It also confers a risk of treatment failure and progression in chronic phase (CP) CML patients. However, the underlying mechanisms are largely unknown. Here we explore the characteristics of p190 and p210 in CML and ALL patients using next generation sequencing, phospho-flowcytometry and high throughput drug testing. Patients and methods: Peripheral blood mononuclear cells (PMNC) were collected at diagnosis from four CP-CML patients harboring p190 isoform from Helsinki University Hospital. Genetic alterations were identified by whole exome sequencing. RNA sequencing was employed to analyze transcriptional profiles of p190 CML (n=3) in contrast to p210 CML patients (n=4). A thorough transcriptional, phosphorylation and drug sensitivity profiling were applied to five p190- and three p210-expressing Ph+ALL patients. Expression alterations were further characterized in two cell line models mimicking BCR-ABL positive leukemia (Ba/F3 and HPCLSK). Phosphorylation profiles were analyzed by flowcytometry and phospho-array (Tyrosine Phosphorylation ProArray, Full Moon Biosystems). For drug sensitivity and resistance testing (DSRT), a custom plate set comprising 75 approved and investigational oncology drugs was used for patient samples and more extensive 528-drugs plates were used for the cell lines. Results: CML patients with p190 had a median age of 72.5 years at the diagnosis (range: 50-80) and all received imatinib as a frontline treatment. Only one patient achieved a fluctuating major molecular response (MMR) by 12 months while the rest of the patients showed primary resistance to treatment and were shifted to a 2nd line TKI, nilotinib (n=2) or proceeded to HSCT (n=1). By exome sequencing we identified 26 variants in p190-CML samples (median per patient=7, range: 2-10), including variants in ASXL1, DNMT3A and KDM4D genes. RNA-sequencing analysis identified 19 and 97 dysregulated genes (Q <0.05) between p190- and p210 in CML and Ph+ ALL cells respectively. In CML, enrichment analysis revealed upregulation of TNF, interferon (IFN), IL1-R and Toll-like receptor (TLR) signaling, TP53-related, cell cycle and apoptosis pathways. Among Ph+ ALL samples, many CML-related genes were upregulated in samples encompassing p210 while IFN-, TP53- and cell cycle-related molecules were upregulated in p190 samples. p190 samples exhibited hyper-phosphorylation of Src kinase compared to p210 samples. DSRT results also revealed increased sensitivity of primary Ph+ ALL-p190 cells to Src-inhibitors (dasatinib and saracatinib), glucocorticoids and MDM2 inhibitors/TP53 activators (SAR405838 and idasanutlin). Regarding cell lines, Ba/F3-p190 showed the upregulation of interferon signaling pathways compared to p210. Src was also hyperphosphorylated in both Ba/F3 and HPCLSK p190 models. In addition to glucocorticoids and Src-inhibitors, compounds blocking the activity of the inhibitors of apoptosis protein (IAP) family were highly effective at reducing the viability of p190 compared to p210 cells in both cell lines. Conclusions: In CML, p190 isoform of BCR-ABL1 is associated with distinct features and should be considered as a high-risk group. Combining clinical, genomic, phosphorylation and drug sensitivity data, we demonstrated that p190 activates specific cancer pathways, notably Src signaling and interferon pathways. Data also suggests that CML patients with p190 could benefit from broad spectrum TKI with Src inhibiting activity or combination of TKI with MDM2- or IAP-inhibitors. Disclosures Heckman: Orion Pharma: Research Funding; Celgene: Research Funding; Novartis: Research Funding; Oncopeptides: Research Funding. Porkka:Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding. Mustjoki:Novartis: Research Funding; Pfizer: Research Funding; BMS: Honoraria, Research Funding.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Katla Kristjánsdóttir ◽  
Alexis Dziubek ◽  
Hyun Min Kang ◽  
Hojoong Kwak

AbstractEnhancer RNAs (eRNA) are unstable non-coding RNAs, transcribed bidirectionally from active regulatory sequences, whose expression levels correlate with enhancer activity. We use capped-nascent-RNA sequencing to efficiently capture bidirectional transcription initiation across several human lymphoblastoid cell lines (Yoruba population) and detect ~75,000 eRNA transcription sites with high sensitivity and specificity. The use of nascent-RNA sequencing sidesteps the confounding effect of eRNA instability. We identify quantitative trait loci (QTLs) associated with the level and directionality of eRNA expression. High-resolution analyses of these two types of QTLs reveal distinct positions of enrichment at the central transcription factor (TF) binding regions and at the flanking eRNA initiation regions, both of which are associated with mRNA expression QTLs. These two regions—the central TF-binding footprint and the eRNA initiation cores—define a bipartite architecture of enhancers, inform enhancer function, and can be used as an indicator of the significance of non-coding regulatory variants.


2020 ◽  
Vol 7 (8) ◽  
pp. 1900997 ◽  
Author(s):  
Yuqi Chen ◽  
Fan Wu ◽  
Zonggui Chen ◽  
Zhiyong He ◽  
Qi Wei ◽  
...  

2017 ◽  
Vol 45 (13) ◽  
pp. 7825-7840 ◽  
Author(s):  
Xueqing Maggie Lu ◽  
Gayani Batugedara ◽  
Michael Lee ◽  
Jacques Prudhomme ◽  
Evelien M. Bunnik ◽  
...  

2021 ◽  
Author(s):  
Yixin Zhao ◽  
Noah Dukler ◽  
Gilad Barshad ◽  
Shushan Toneyan ◽  
Charles G. Danko ◽  
...  

AbstractQuantification of mature-RNA isoform abundance from RNA-seq data has been extensively studied, but much less attention has been devoted to quantifying the abundance of distinct precursor RNAs based on nascent RNA sequencing data. Here we address this problem with a new computational method called Deconvolution of Expression for Nascent RNA sequencing data (DENR). DENR models the nascent RNA read counts at each locus as a mixture of user-provided isoforms. The performance of the baseline algorithm is enhanced by the use of machine-learning predictions of transcription start sites (TSSs) and an adjustment for the typical “shape profile” of read counts along a transcription unit. We show using simulated data that DENR clearly outperforms simple read-count-based methods for estimating the abundances of both whole genes and isoforms. By applying DENR to previously published PRO-seq data from K562 and CD4+ T cells, we find that transcription of multiple isoforms per gene is widespread, and the dominant isoform frequently makes use of an internal TSS. We also identify > 200 genes whose dominant isoforms make use of different TSSs in these two cell types. Finally, we apply DENR and StringTie to newly generated PRO-seq and RNA-seq data, respectively, for human CD4+ T cells and CD14+ monocytes, and show that entropy at the pre-RNA level makes a disproportionate contribution to overall isoform diversity, especially across cell types. Altogether, DENR is the first computational tool to enable abundance quantification of pre-RNA isoforms based on nascent RNA sequencing data, and it reveals high levels of pre-RNA isoform diversity in human cells.


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