scholarly journals Transcriptional Profiling Reveals the Transcription Factor Networks Regulating the Survival of Striatal Neurons

2020 ◽  
Author(s):  
Lin Yang ◽  
Zihao Su ◽  
Xiaolei Song ◽  
Zhenmeiyu Li ◽  
Ziwu Wang ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Neuronal Apoptosis ◽  
Developmental Stages ◽  
Transcriptional Profiling ◽  
Conditional Knockout ◽  
Gene Products ◽  
Rna Seq ◽  
Striatal Neurons ◽  
Functional Changes ◽  
Transcription Factor Networks

AbstractThe striatum is structurally highly diverse and its organ functionality critically depends on a normal embryonic development. Although several studies on the gene functional changes that occur during striatal development, a system-wide analysis of the underlying molecular changes is lacking. Here, we present a comprehensive temporal transcriptome atlas of the mouse striatum at multiple developmental stages. Quantitative analysis of 15443 gene products allows us to explore the trajectory of striatal development and identify the correlation between the striatal development and Huntington’s disease (HD). More importantly, we provided the global landscape of 277 transcription factor (TF) networks based on co-expression analysis and machine learning. Furthermore, we identified the hub TFs Six3 and Meis2 which are involved in regulating the apoptosis of striatal neurons. Finally, using conditional knockout (CKO) mice and RNA-Seq data, we verified that Six3 and Meis2 indeed regulated neuronal apoptosis and inferred their downstream targets in the striatum.

scholarly journals Transcriptional profiling reveals the transcription factor networks regulating the survival of striatal neurons

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Lin Yang ◽  
Zihao Su ◽  
Ziwu Wang ◽  
Zhenmeiyu Li ◽  
Zicong Shang ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcriptional Profiling ◽  
Conditional Knockout ◽  
Biological Processes ◽  
Rna Seq ◽  
Striatal Neurons ◽  
Transcriptome Profile ◽  
Functional Changes ◽  
Transcription Factor Networks ◽  
Normal Embryonic Development

AbstractThe striatum is structurally highly diverse, and its organ functionality critically depends on normal embryonic development. Although several studies have been conducted on the gene functional changes that occur during striatal development, a system-wide analysis of the underlying molecular changes is lacking. Here, we present a comprehensive transcriptome profile that allows us to explore the trajectory of striatal development and identify the correlation between the striatal development and Huntington’s disease (HD). Furthermore, we applied an integrative transcriptomic profiling approach based on machine learning to systematically map a global landscape of 277 transcription factor (TF) networks. Most of these TF networks are linked to biological processes, and some unannotated genes provide information about the corresponding mechanisms. For example, we found that the Meis2 and Six3 were crucial for the survival of striatal neurons, which were verified using conditional knockout (CKO) mice. Finally, we used RNA-Seq to speculate their downstream targets.

scholarly journals Transcriptome Analysis of Ginkgo biloba L. Leaves across Late Developmental Stages Based on RNA-Seq and Co-Expression Network

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 315
Author(s):  
Hailin Liu ◽  
Xin Han ◽  
Jue Ruan ◽  
Lian Xu ◽  
Bing He
Keyword(s):  
Ginkgo Biloba ◽  
Leaf Development ◽  
Developmental Stages ◽  
Leaf Growth ◽  
Rna Seq ◽  
Final Size ◽  
Dioecious Species ◽  
Related Factors ◽  
New Genes ◽  
Gene Modules

The final size of plant leaves is strictly controlled by environmental and genetic factors, which coordinate cell expansion and cell cycle activity in space and time; however, the regulatory mechanisms of leaf growth are still poorly understood. Ginkgo biloba is a dioecious species native to China with medicinally and phylogenetically important characteristics, and its fan-shaped leaves are unique in gymnosperms, while the mechanism of G. biloba leaf development remains unclear. In this study we studied the transcriptome of G. biloba leaves at three developmental stages using high-throughput RNA-seq technology. Approximately 4167 differentially expressed genes (DEGs) were obtained, and a total of 12,137 genes were structure optimized together with 732 new genes identified. More than 50 growth-related factors and gene modules were identified based on DEG and Weighted Gene Co-expression Network Analysis. These results could remarkably expand the existing transcriptome resources of G. biloba, and provide references for subsequent analysis of ginkgo leaf development.

scholarly journals Transcriptome profiling of developing leaf and shoot apices to reveal the molecular mechanism and co-expression genes responsible for the wheat heading date

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuxin Yang ◽  
Xueying Zhang ◽  
Lifen Wu ◽  
Lichao Zhang ◽  
Guoxiang Liu ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Flowering Time ◽  
Heading Date ◽  
Yield Component ◽  
Potential Candidate ◽  
Rna Seq ◽  
Nucleotide Synthesis ◽  
Light Reaction ◽  
Grain Number Per Spike ◽  
Double Ridge

Abstract Background Wheat is one of the most widely planted crops worldwide. The heading date is important for wheat environmental adaptability, as it not only controls flowering time but also determines the yield component in terms of grain number per spike. Results In this research, homozygous genotypes with early and late heading dates derived from backcrossed progeny were selected to conduct RNA-Seq analysis at the double ridge stage (W2.0) and androgynous primordium differentiation stage (W3.5) of the leaf and apical meristem, respectively. In total, 18,352 differentially expressed genes (DEGs) were identified, many of which are strongly associated with wheat heading date genes. Gene Ontology (GO) enrichment analysis revealed that carbohydrate metabolism, trehalose metabolic process, photosynthesis, and light reaction are closely related to the flowering time regulation pathway. Based on MapMan metabolic analysis, the DEGs are mainly involved in the light reaction, hormone signaling, lipid metabolism, secondary metabolism, and nucleotide synthesis. In addition, 1,225 DEGs were annotated to 45 transcription factor gene families, including LFY, SBP, and MADS-box transcription factors closely related to flowering time. Weighted gene co-expression network analysis (WGCNA) showed that 16, 336, 446, and 124 DEGs have biological connections with Vrn1-5 A, Vrn3-7B, Ppd-1D, and WSOC1, respectively. Furthermore, TraesCS2D02G181400 encodes a MADS-MIKC transcription factor and is co-expressed with Vrn1-5 A, which indicates that this gene may be related to flowering time. Conclusions RNA-Seq analysis provided transcriptome data for the wheat heading date at key flower development stages of double ridge (W2.0) and androgynous primordium differentiation (W3.5). Based on the DEGs identified, co-expression networks of key flowering time genes in Vrn1-5 A, Vrn3-7B, WSOC1, and Ppd-1D were established. Moreover, we discovered a potential candidate flowering time gene, TraesCS2D02G181400. Taken together, these results serve as a foundation for further study on the regulatory mechanism of the wheat heading date.

scholarly journals Characterization of full-length transcriptome in Saccharum officinarum and molecular insights into tiller development

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Haifeng Yan ◽  
Huiwen Zhou ◽  
Hanmin Luo ◽  
Yegeng Fan ◽  
Zhongfeng Zhou ◽  
...  
Keyword(s):  
Carbon Fixation ◽  
Developmental Stages ◽  
Genomic Data ◽  
Saccharum Officinarum ◽  
Full Length ◽  
Rna Seq ◽  
Pyruvate Phosphate Dikinase ◽  
Sugarcane Yield ◽  
Tiller Bud

Abstract Background Although extensive breeding efforts are ongoing in sugarcane (Saccharum officinarum L.), the average yield is far below the theoretical potential. Tillering is an important component of sugarcane yield, however, the molecular mechanism underlying tiller development is still elusive. The limited genomic data in sugarcane, particularly due to its complex and large genome, has hindered in-depth molecular studies. Results Herein, we generated full-length (FL) transcriptome from developing leaf and tiller bud samples based on PacBio Iso-Seq. In addition, we performed RNA-seq from tiller bud samples at three developmental stages (T0, T1 and T2) to uncover key genes and biological pathways involved in sugarcane tiller development. In total, 30,360 and 20,088 high-quality non-redundant isoforms were identified in leaf and tiller bud samples, respectively, representing 41,109 unique isoforms in sugarcane. Likewise, we identified 1063 and 1037 alternative splicing events identified in leaf and tiller bud samples, respectively. We predicted the presence of coding sequence for 40,343 isoforms, 98% of which was successfully annotated. Comparison with previous FL transcriptomes in sugarcane revealed 2963 unreported isoforms. In addition, we characterized 14,946 SSRs from 11,700 transcripts and 310 lncRNAs. By integrating RNA-seq with the FL transcriptome, 468 and 57 differentially expressed genes (DEG) were identified in T1vsT0 and T2vsT0, respectively. Strong up-regulation of several pyruvate phosphate dikinase and phosphoenolpyruvate carboxylase genes suggests enhanced carbon fixation and protein synthesis to facilitate tiller growth. Similarly, up-regulation of linoleate 9S-lipoxygenase and lipoxygenase genes in the linoleic acid metabolism pathway suggests high synthesis of key oxylipins involved in tiller growth and development. Conclusions Collectively, we have enriched the genomic data available in sugarcane and provided candidate genes for manipulating tiller formation and development, towards productivity enhancement in sugarcane.

scholarly journals EPEN-30. C11ORF95-RELA FUSION PROTEIN ENGAGES NOVEL GENOMIC LOCI TO DRIVE MURINE EPENDYMOMA GROWTH

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii314-iii314
Author(s):  
Amir Arabzade ◽  
Yanhua Zhao ◽  
Srinidhi Varadharajan ◽  
Hsiao-Chi Chen ◽  
Austin Stuckert ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Binding Sites ◽  
Molecular Targets ◽  
Lead Target ◽  
Open Chromatin ◽  
Rna Seq ◽  
In Utero Electroporation ◽  
Pathway Activation ◽  
Mouse Cells ◽  
Shed Light

Abstract RATIONALE Over 70% of supratentorial (ST) ependymoma are characterized by an oncogenic fusion between C11ORF95 and RELA. C11ORF95-RELA fusion is frequently the sole genetic driver detected in ST ependymoma, thus ranking this genomic event as a lead target for therapeutic investigation. RELA is a transcription factor (TF) central to mediating NF-kB pathway activation in processes such as inflammation, cellular metabolism, and chemotaxis. HYPOTHESIS: We posited that C11ORF95-RELA acts as an oncogenic TF that aberrantly shapes the tumor epigenome to drive aberrant transcription. Approach: To this end we developed an in utero electroporation (IUE) mouse model of ependymoma to express C11ORF95-RELA during embryonic development. Our IUE approach allowed us to develop C11ORF95-RELA driven tumor models and cell lines. We comprehensively characterized the epigenome and transcriptome of C11ORF95-RELA fusion driven mouse cells by H3K27ac ChIP-seq, ATAC-seq, and RNA-seq. RESULTS This data revealed that: 1) C11ORF95-RELA directly engages ‘open’ chromatin and is enriched at regions with known RELA TF binding sites as well as novel genomic loci/motifs, 2) C11ORF95-RELA preferentially binds to both H3K27ac (active) enhancers and promoters, and 3) Bound C11ORF95-RELA promoter loci are associated with increased transcription of genes shared with human ependymoma. CONCLUSION Our findings shed light on the transcriptional mechanisms of C11ORF95-RELA, and reveal downstream targets that may represent cancer dependency genes and molecular targets.

scholarly journals Identification of Potential Key lncRNAs in the Context of Mouse Myeloid Differentiation by Systematic Transcriptomics Analysis

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 630
Author(s):  
Yongqing Lan ◽  
Meng Li ◽  
Shuangli Mi
Keyword(s):  
Transcription Factor ◽  
Cell Model ◽  
Myeloid Differentiation ◽  
Rna Seq ◽  
Hematopoietic Differentiation ◽  
Granulocytic Differentiation ◽  
Expression Of Genes ◽  
Non Coding Rnas

Hematopoietic differentiation is a well-orchestrated process by many regulators such as transcription factor and long non-coding RNAs (lncRNAs). However, due to the large number of lncRNAs and the difficulty in determining their roles, the study of lncRNAs is a considerable challenge in hematopoietic differentiation. Here, through gene co-expression network analysis over RNA-seq data generated from representative types of mouse myeloid cells, we obtained a catalog of potential key lncRNAs in the context of mouse myeloid differentiation. Then, employing a widely used in vitro cell model, we screened a novel lncRNA, named Gdal1 (Granulocytic differentiation associated lncRNA 1), from this list and demonstrated that Gdal1 was required for granulocytic differentiation. Furthermore, knockdown of Cebpe, a principal transcription factor of granulocytic differentiation regulation, led to down-regulation of Gdal1, but not vice versa. In addition, expression of genes involved in myeloid differentiation and its regulation, such as Cebpa, were influenced in Gdal1 knockdown cells with differentiation blockage. We thus systematically identified myeloid differentiation associated lncRNAs and substantiated the identification by investigation of one of these lncRNAs on cellular phenotype and gene regulation levels. This study promotes our understanding of the regulation of myeloid differentiation and the characterization of roles of lncRNAs in hematopoietic system.

scholarly journals Comparative Transcriptome Analysis Reveals Regulatory Networks during the Maize Ear Shank Elongation Process

2021 ◽  
Vol 22 (13) ◽  
pp. 7029
Author(s):  
Cai-Yun Xiong ◽  
Qing-You Gong ◽  
Hu Pei ◽  
Chang-Jian Liao ◽  
Rui-Chun Yang ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Rna Seq ◽  
Short Branch ◽  
Transcriptional Dynamics ◽  
New Varieties ◽  
Elongation Process ◽  
Temporal Expression Pattern ◽  
Maize Ear

In maize, the ear shank is a short branch that connects the ear to the stalk. The length of the ear shank mainly affects the transportation of photosynthetic products to the ear, and also influences the dehydration of the grain by adjusting the tightness of the husks. However, the molecular mechanisms of maize shank elongation have rarely been described. It has been reported that the maize ear shank length is a quantitative trait, but its genetic basis is still unclear. In this study, RNA-seq was performed to explore the transcriptional dynamics and determine the key genes involved in maize shank elongation at four different developmental stages. A total of 8145 differentially expressed genes (DEGs) were identified, including 729 transcription factors (TFs). Some important genes which participate in shank elongation were detected via function annotation and temporal expression pattern analyses, including genes related to signal transduction hormones (auxin, brassinosteroids, gibberellin, etc.), xyloglucan and xyloglucan xyloglucosyl transferase, and transcription factor families. The results provide insights into the genetic architecture of maize ear shanks and developing new varieties with ideal ear shank lengths, enabling adjustments for mechanized harvesting in the future.

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