scholarly journals Long noncoding RNAs in biology and hematopoiesis

Blood ◽  
2013 ◽  
Vol 121 (24) ◽  
pp. 4842-4846 ◽  
Author(s):  
Vikram R. Paralkar ◽  
Mitchell J. Weiss

Abstract Genome and transcriptome sequencing have revealed a rich assortment of noncoding RNAs in eukaryote cells, including long noncoding RNAs (lncRNAs), which regulate gene expression independent of protein coding potential. LncRNAs modulate protein coding gene expression in many cell types by regulating multiple processes, including epigenetic control of transcription, mRNA stability, and protein localization. Although little is known about lncRNAs in hematopoiesis, they are likely to exert widespread roles in this process.

2021 ◽  
Vol 72 (1) ◽  
Author(s):  
Andrzej T. Wierzbicki ◽  
Todd Blevins ◽  
Szymon Swiezewski

Plants have an extraordinary diversity of transcription machineries, including five nuclear DNA-dependent RNA polymerases. Four of these enzymes are dedicated to the production of long noncoding RNAs (lncRNAs), which are ribonucleic acids with functions independent of their protein-coding potential. lncRNAs display a broad range of lengths and structures, but they are distinct from the small RNA guides of RNA interference (RNAi) pathways. lncRNAs frequently serve as structural, catalytic, or regulatory molecules for gene expression. They can affect all elements of genes, including promoters, untranslated regions, exons, introns, and terminators, controlling gene expression at various levels, including modifying chromatin accessibility, transcription, splicing, and translation. Certain lncRNAs protect genome integrity, while others respond to environmental cues like temperature, drought, nutrients, and pathogens. In this review, we explain the challenge of defining lncRNAs, introduce the machineries responsible for their production, and organize this knowledge by viewing the functions of lncRNAs throughout the structure of a typical plant gene. Expected final online publication date for the Annual Review of Plant Biology, Volume 72 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2020 ◽  
Vol 40 (6) ◽  
Author(s):  
Corrine Corrina R. Hartford ◽  
Ashish Lal

ABSTRACT Recent advancements in genetic and proteomic technologies have revealed that more of the genome encodes proteins than originally thought possible. Specifically, some putative long noncoding RNAs (lncRNAs) have been misannotated as noncoding. Numerous lncRNAs have been found to contain short open reading frames (sORFs) which have been overlooked because of their small size. Many of these sORFs encode small proteins or micropeptides with fundamental biological importance. These micropeptides can aid in diverse processes, including cell division, transcription regulation, and cell signaling. Here we discuss strategies for establishing the coding potential of putative lncRNAs and describe various functions of known micropeptides.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 93
Author(s):  
Peng Qin ◽  
Ann E. Loraine ◽  
Sheila McCormick

Background: cis-NATs (cis-natural antisense transcripts) are transcribed from opposite strands of adjacent genes and have been shown to regulate gene expression by generating small RNAs from the overlapping region. cis-NATs are important for plant development and resistance to pathogens and stress. Several genome-wide investigations identified a number of cis-NAT pairs, but these investigations predicted cis-NATS using expression data from bulk samples that included lots of cell types. Some cis-NAT pairs identified from those investigations might not be functional, because both transcripts of cis-NAT pairs need to be co-expressed in the same cell. Pollen only contains two cell types, two sperm and one vegetative cell, which makes cell-specific investigation of cis-NATs possible. Methods: We investigated potential protein-coding cis-NATs in pollen and sperm using pollen RNA-seq data and TAIR10 gene models using the Integrated Genome Browser.  We then used sperm microarray data and sRNAs in sperm and pollen to determine possibly functional cis-NATs in the sperm or vegetative cell, respectively. Results: We identified 1471 potential protein-coding cis-NAT pairs, including 131 novel pairs that were not present in TAIR10 gene models. In pollen, 872 possibly functional pairs were identified. 72 and 56 pairs were potentially functional in sperm and vegetative cells, respectively. sRNAs were detected at 794 genes, belonging to 739 pairs. Conclusion: These potential candidates in sperm and the vegetative cell are tools for understanding gene expression mechanisms in pollen.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. SCI-28-SCI-28
Author(s):  
Mitchell J. Weiss

Abstract Long noncoding (Lnc) RNAs are RNA transcripts greater than 200 nucleotides (nt) that regulate gene expression independent of protein coding potential (1-3). It is estimated that thousands of lncRNAs play vital roles in diverse cellular processes. LncRNAs modulate many stages of gene expression by regulating transcription, epigenetics, splicing, translation, and protein localization. We hypothesize that multiple lncRNAs are expressed specifically during erythrocyte and megakaryocyte differentiation, and are likely to have important roles. To identify lncRNAs in erythro-megakaryopoiesis, we performed strand-specific, paired-end deep sequencing (RNA-Seq) to a depth of 200 million reads per sample on two replicates each of murine Ter119+erythroblasts, CD41+ megakaryocytes and bipotential megakaryocyte-erythroid progenitors (MEPs) [lin- Kit+ Sca1- CD16/32- CD34-], and used bioinformatic filtering tools to identify approximately 1,100 candidate lncRNAs. Over 60 percent of these lncRNAs are novel unannotated transcripts with exquisite lineage-specific expression. Using erythroid and megakaryocytic primary cell ChIP-Seq for key transcription factors (TFs) GATA1, TAL1, GATA2,and FLI1, we found that the loci of lncRNAs show similar degree of TF binding as coding genes. We used the erythroid line G1E-ER4 (which expresses estrogen-activated GATA1) to confirm that lncRNAs bound by GATA1 are also directly regulated by it. Furthermore, we used histone methylation ChIP-Seq to show that most lncRNAs arise from classical “promoters” with high H3K4me3 levels and low H3K4me1 levels. Thus, we find that lncRNAs show epigenetic features similar to the promoters of coding genes and are directly regulated by similar TF networks. Comparison of the transcriptomes of mouse fetal liver and human cord blood erythroblasts demonstrated that lncRNAs are expressed in a highly species-specific fashion, i.e., most lncRNAs identifiable in one species are not transcribed in the other, even though the corresponding genomic region is present in both species. Numerous non-conserved but functional lncRNAs are reported in the literature, and the significance of conservation in lncRNA biology is greatly debated. In order to identify functional lncRNAs, we are currently performing RNAi knockdown on numerous candidates to assess how loss of function affects erythroid maturation. We are also performing HITS-CLIP of key chromatin modifying complexes and erythroid transcription factors to identify lncRNAs bound to them. Our studies are beginning to define new layers of gene regulation in normal erythro-megakaryopoiesis, which may be relevant to the pathophysiology of related disorders including various anemias, myeloproliferative and myelodysplastic syndromes and leukemias. 1. Wang K.C., Chang H.Y. Molecular mechanisms of long noncoding RNAs. Molecular Cell. 2011;43(6):904-914. Prepublished on 2011/09/20 as DOI 10.1016/j.molcel.2011.08.018. 2. Hu W., Alvarez-Dominguez J.R., Lodish H.F. Regulation of mammalian cell differentiation by long non-coding RNAs. EMBO reports. 2012;13(11):971-983. Prepublished on 2012/10/17 as DOI 10.1038/embor.2012.145. 3. Paralkar V.R., Weiss M.J. Long noncoding RNAs in biology and hematopoiesis. Blood. 2013;121(24):4842-4846. Prepublished on 2013/05/07 as DOI 10.1182/blood-2013-03-456111. Disclosures: No relevant conflicts of interest to declare.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 1771 ◽  
Author(s):  
Xu Zhang ◽  
Wenqian Hu

Mammalian development is under tight control to ensure precise gene expression. Recent studies reveal a new layer of regulation of gene expression mediated by long noncoding RNAs. These transcripts are longer than 200nt that do not have functional protein coding capacity. Interestingly, many of these long noncoding RNAs are expressed with high specificity in different types of cells, tissues, and developmental stages in mammals, suggesting that they may have functional roles in diverse biological processes. Here, we summarize recent findings of long noncoding RNAs in hematopoiesis, which is one of the best-characterized mammalian cell differentiation processes. Then we provide our own perspectives on future studies of long noncoding RNAs in this field.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2331-2331
Author(s):  
Vikram R Paralkar ◽  
Tejaswini Mishra ◽  
Jing Luan ◽  
Yu Yao ◽  
Neeraja Konuthula ◽  
...  

Abstract Abstract 2331 Lnc (long noncoding) RNAs are RNA transcripts greater than 200nt that regulate gene expression independent of protein coding potential. It is estimated that thousands of lncRNAs play vital roles in diverse cellular processes and are involved in numerous diseases, including cancer. We hypothesize that multiple lncRNAs regulate erythrocyte and megakaryocyte formation by modulating gene expression. To identify lncRNAs in erythro-megakaryopoiesis, we purified two biological replicates each of murine Ter119+ erythroblasts, CD41+ megakaryocytes and bipotential megakaryocyte-erythroid progenitors (MEPs) [Lin− Kit+, Sca1−, CD16/32−, CD34−]. We performed strand-specific, paired-end, 200nt-read-length deep sequencing (RNA-Seq) to a depth of ∼200 million reads per sample using the Illumina GAII platform. We used the Tophat and Cufflinks suite of bioinformatic tools to assemble and compare de-novo transcriptomes from these three cell types, producing a high-confidence set of 69,488 transcripts. We confirmed that the RNA-seq assemblies accurately reflect gene expression predicted from prior studies. For example, Ter119+ cells were highly enriched for key erythroid transcripts encoding globins, heme synthetic enzymes and specialized membrane proteins. Megakaryocytes expressed high levels of gene encoding lineage-specific integrins and platelet markers. MEPs expressed numerous progenitor genes including Gata2, Kit and Myc. Thus, the RNA-seq data are of high-quality and sufficient complexity to accurately represent erythroid, megakaryocytic and MEP transcriptomes. We used a series of Unix-based bioinformatic filtering tools to identify lncRNAs that are expressed in these transcriptomes. We identified 605 “stringent” lncRNAs, and 813 “potential noncoding” transcripts. 47% of the lncRNAs are novel unannotated transcripts, validating the use of de-novo RNA-Seq in unique cell populations for lncRNA discovery. Among the 605 “stringent” lncRNAs, 103 are erythroid-restricted, 133 are meg-restricted and 280 are MEP-restricted, consistent with reports that lncRNAs exhibit exquisitely cell-type specific expression. Current efforts are aimed at generating a more comprehensive map of lncRNA expression at specific stages of erythroid and megakaryocyte/platelet development, and performing high throughput functional screens to analyze currently identified lncRNAs. Our studies are beginning to define new layers of gene regulation in normal erythro-megakaryopoiesis and are relevant to the pathophysiology of related disorders including various anemias, myeloproliferative and myelodysplastic syndromes and leukemias. Disclosures: No relevant conflicts of interest to declare.


2017 ◽  
Vol 42 (4) ◽  
pp. 1407-1419 ◽  
Author(s):  
Zhihong Li ◽  
Pengcheng Dou ◽  
Tang Liu ◽  
Shasha He

Osteosarcoma is the most common primary bone malignancy in children and adolescents. Although improvements in therapeutic strategies were achieved, the outcome remains poor for most patients with metastatic or recurrent osteosarcoma. Therefore, it is imperative to identify novel and effective prognostic biomarker and therapeutic targets for the disease. Long noncoding RNAs (lncRNAs) are a novel class of RNA molecules defined as transcripts >200 nucleotides that lack protein coding potential. Many lncRNAs are deregulated in cancer and are important regulators for malignancies. Nine lncRNAs (91H, BCAR4, FGFR3-AS1, HIF2PUT, HOTTIP, HULC, MALAT-1, TUG1, UCA1) are upregulated and considered oncogenic for osteosarcoma. Loc285194 and MEG3 are two lncRNAs downregulated and as tumor suppressor for the disease. Moreover, the expressions of LINC00161 and ODRUL are associated with chemo-resistance of osteosarcoma. The mechanisms for these lncRNAs in regulating development of osteosarcoma are diverse, e.g. ceRNA, Wnt/β-catenin pathway, etc. The lncRNAs identified may serve as potential biomarkers or therapeutic targets for osteosarcoma.


2020 ◽  
Vol 49 (D1) ◽  
pp. D1489-D1495 ◽  
Author(s):  
Jingjing Jin ◽  
Peng Lu ◽  
Yalong Xu ◽  
Zefeng Li ◽  
Shizhou Yu ◽  
...  

Abstract Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides with little or no protein coding potential. The expanding list of lncRNAs and accumulating evidence of their functions in plants have necessitated the creation of a comprehensive database for lncRNA research. However, currently available plant lncRNA databases have some deficiencies, including the lack of lncRNA data from some model plants, uneven annotation standards, a lack of visualization for expression patterns, and the absence of epigenetic information. To overcome these problems, we upgraded our Plant Long noncoding RNA Database (PLncDB, http://plncdb.tobaccodb.org/), which was based on a uniform annotation pipeline. PLncDB V2.0 currently contains 1 246 372 lncRNAs for 80 plant species based on 13 834 RNA-Seq datasets, integrating lncRNA information from four other resources including EVLncRNAs, RNAcentral and etc. Expression patterns and epigenetic signals can be visualized using multiple tools (JBrowse, eFP Browser and EPexplorer). Targets and regulatory networks for lncRNAs are also provided for function exploration. In addition, PLncDB V2.0 is hierarchical and user-friendly and has five built-in search engines. We believe PLncDB V2.0 is useful for the plant lncRNA community and data mining studies and provides a comprehensive resource for data-driven lncRNA research in plants.


2021 ◽  
Vol 7 (1) ◽  
pp. 12
Author(s):  
Camille Fonouni-Farde ◽  
Federico Ariel ◽  
Martin Crespi

The first reference to the “C-value paradox” reported an apparent imbalance between organismal genome size and morphological complexity. Since then, next-generation sequencing has revolutionized genomic research and revealed that eukaryotic transcriptomes contain a large fraction of non-protein-coding components. Eukaryotic genomes are pervasively transcribed and noncoding regions give rise to a plethora of noncoding RNAs with undeniable biological functions. Among them, long noncoding RNAs (lncRNAs) seem to represent a new layer of gene expression regulation, participating in a wide range of molecular mechanisms at the transcriptional and post-transcriptional levels. In addition to their role in epigenetic regulation, plant lncRNAs have been associated with the degradation of complementary RNAs, the regulation of alternative splicing, protein sub-cellular localization, the promotion of translation and protein post-translational modifications. In this review, we report and integrate numerous and complex mechanisms through which long noncoding transcripts regulate post-transcriptional gene expression in plants.


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