scholarly journals Gene expression underlying floral epidermal specialization inAristolochia fimbriata(Aristolochiaceae)

2021 ◽  
Author(s):  
Harold Suárez-Baron ◽  
Juan F Alzate ◽  
Favio González ◽  
Soraya Pelaz ◽  
Barbara A Ambrose ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Fate ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Genetic Network ◽  
Small Subset ◽  
Temporal Expression ◽  
Trichome Development ◽  
Spatio Temporal

AbstractBackground and AimsThe epidermis constitutes the outermost tissue of the plant body. Although it plays major structural, physiological and ecological roles in embryophytes, the molecular mechanisms controlling epidermal cell fate, differentiation and trichome development have been scarcely studied across angiosperms, and remain almost unexplored in floral organs.MethodsIn this study, we assess the spatio-temporal expression patterns of GL2, GL3, TTG1, TRY, MYB5, MYB6, HDG2, MYB106-like, WIN1 and RAV1-like homologues in the magnoliid Aristolochia fimbriata (Aristolochiaceae) by using comparative RNA-sequencing and in situ hybridization assays.Key ResultsGenes involved in Aristolochia fimbriata trichome development vary depending on the organ where they are formed. Stem, leaf and pedicel trichomes recruit most of the transcription factors (TFs) described above. Conversely, floral trichomes only use a small subset of genes including AfimGL2, AfimRAV1-like, AfimWIN1, AfimMYB106-like and AfimHDG2. The remaining TFs, AfimTTG1, AfimGL3, AfimTRY, AfimMYB5 and AfimMYB6, are restricted to the abaxial (outer) and the adaxial (inner) pavement epidermal cells.ConclusionsWe re-evaluate the core genetic network shaping trichome fate in flowers of an early-divergent angiosperm lineage and show a morphologically diverse output with a simpler genetic mechanism in place when compared to the models Arabidopsis thaliana and Cucumis sativus. In turn, our results strongly suggest that the canonical trichome gene expression appears to be more conserved in vegetative than in floral tissues across angiosperms.

scholarly journals Regulation of spatial and temporal gene expression in an animal germline

2018 ◽  
Author(s):  
Asija Diag ◽  
Marcel Schilling ◽  
Filippos Klironomos ◽  
Salah Ayoub ◽  
Nikolaus Rajewsky
Keyword(s):  
Gene Expression ◽  
Regulatory Mechanisms ◽  
Rna Expression ◽  
Temporal Expression ◽  
Temporal Gene Expression ◽  
Cell Proliferation And Differentiation ◽  
Proliferation And Differentiation ◽  
Gene Regulatory ◽  
Spatio Temporal

SUMMARYIn animal germlines, regulation of cell proliferation and differentiation is particularly important but poorly understood. Here, using a cryo-cut approach, we mapped RNA expression along the Caenorhabditis elegans germline and, using mutants, dissected gene regulatory mechanisms that control spatio-temporal expression. We detected, at near single-cell resolution, > 10,000 mRNAs, > 300 miRNAs and numerous novel miRNAs. Most RNAs were organized in distinct spatial patterns. Germline-specific miRNAs and their targets were co-localized. Moreover, we observed differential 3’ UTR isoform usage for hundreds of mRNAs. In tumorous gld-2 gld-1 mutants, gene expression was strongly perturbed. In particular, differential 3’ UTR usage was significantly impaired. We propose that PIE-1, a transcriptional repressor, functions to maintain spatial gene expression. Our data also suggest that cpsf-4 and fipp-1 control differential 3’ UTR usage for hundreds of genes. Finally, we constructed a “virtual gonad” enabling “virtual in situ hybridizations” and access to all data (https://shiny.mdc-berlin.de/spacegerm/).

scholarly journals BEST: a web server for brain expression Spatio-temporal pattern analysis

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Liyuan Guo ◽  
Wei Lin ◽  
Yidan Zhang ◽  
Wenhan Li ◽  
Jing Wang
Keyword(s):  
Gene Expression ◽  
Expression Pattern ◽  
Temporal Pattern ◽  
Pattern Analysis ◽  
Expression Patterns ◽  
Temporal Expression ◽  
Expression Pattern Analysis ◽  
Brain Expression ◽  
Spatio Temporal ◽  
Temporal Expression Pattern

Abstract Background Dysregulated gene expression patterns have been reported in several mental disorders. Limited by the difficulty of obtaining samples, psychiatric molecular mechanism research still relies heavily on clues from genetics studies. By using reference data from brain expression studies, multiple types of comprehensive gene expression pattern analysis have been performed on psychiatric genetic results. These systems-level spatial-temporal expression pattern analyses provided evidence on specific brain regions, developmental stages and molecular pathways that are possibly involved in psychiatric pathophysiology. At present, there is no online tool for such systematic analysis, which hinders the applications of analysis by non-informatics researchers such as experimental biologists and clinical molecular biologists. Results We developed the BEST web server to support Brain Expression Spatio-Temporal pattern analysis. There are three highlighted features of BEST: 1) visualization: it generates user-friendly visual results that are easy to interpret, including heatmaps, Venn diagrams, gene co-expression networks and cluster-based Manhattan gene plots; these results illustrate the complex spatio-temporal expression patterns, including expression quantification and correlation between genes; 2) integration: it provides comprehensive human brain spatio-temporal expression patterns by integrating data from currently available databases; 3) multi-dimensionality: it analyses input genes as both a whole set and several subsets (clusters) which are enriched according to co-expression patterns, and it also presents the correlation between genetic and expression data. Conclusions To the best of our knowledge, BEST is the first data tool to support comprehensive human brain spatial-temporal expression pattern analysis. It helps to bridge disease-related genetic studies and mechanism studies, provides clues for key gene and molecular system identification, and supports the analysis of disease sensitive brain region and age stages. BEST is freely available at http://best.psych.ac.cn.

Smad expression during kidney development

2004 ◽  
Vol 286 (4) ◽  
pp. F625-F633 ◽  
Author(s):  
P. Vrljicak ◽  
D. Myburgh ◽  
A. K. Ryan ◽  
M. A. van Rooijen ◽  
C. L. Mummery ◽  
...  
Keyword(s):  
Cell Fate ◽  
Kidney Development ◽  
Transforming Growth Factor ◽  
Expression Patterns ◽  
Mesenchymal Cells ◽  
Ureteric Bud ◽  
Temporal Expression ◽  
The Common ◽  
Nephrogenic Zone

Signaling by the transforming growth factor (TGF)-β superfamily is important during kidney development. Here, we describe the spatial and temporal expression patterns of the Smads, the transcription factors that translate TGF-β signals into gene expression. RT-PCR data and in situ hybridization analysis showed that the receptor-regulated (R) Smads (Smad1, -2, -3, -5, and -8), the common partner Smad (Smad4), and the inhibitory (I) Smads (Smad6 and -7) were all expressed during mouse kidney development from embryonic day 12 until the end of nephrogenesis at postnatal day 15. Each Smad had a distinct spatial distribution. All were expressed by mesenchymal cells in the nephrogenic zone and were downregulated once these cells began to epithelialize. The common partner Smad, Smad4, was present in uninduced mesenchymal cells and at ureteric bud tips. The bone morphogenetic-responsive R-Smads, Smad1, -5, and -8, were mainly expressed in the nephrogenic zone, whereas the TGF-β- responsive R-Smads were predominantly noted in the medullary interstitium. Expression of the I-Smad Smad7 was also seen in mesenchymal cells in the interstitium. Based on the observed patterns of expression, we speculate that individual or combinations of Smads may play specific roles in cell-fate determination during kidney development.

scholarly journals RNA In Situ Hybridization for Detecting Gene Expression Patterns in the Abdomens and Wings of Drosophila Species

2021 ◽  
Vol 4 (1) ◽  
pp. 20
Author(s):  
Mujeeb Shittu ◽  
Tessa Steenwinkel ◽  
William Dion ◽  
Nathan Ostlund ◽  
Komal Raja ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Situ Hybridization ◽  
Expression Patterns ◽  
Drosophila Species ◽  
Gene Expression Patterns ◽  
Probe Design ◽  
Tissue Preparation ◽  
Design And Synthesis ◽  
Rna In Situ Hybridization

RNA in situ hybridization (ISH) is used to visualize spatio-temporal gene expression patterns with broad applications in biology and biomedicine. Here we provide a protocol for mRNA ISH in developing pupal wings and abdomens for model and non-model Drosophila species. We describe best practices in pupal staging, tissue preparation, probe design and synthesis, imaging of gene expression patterns, and image-editing techniques. This protocol has been successfully used to investigate the roles of genes underlying the evolution of novel color patterns in non-model Drosophila species.

scholarly journals Genome Wide Analysis of the Transcriptional Profiles in Different Regions of the Developing Rice Grains

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Ting-Ying Wu ◽  
Marlen Müller ◽  
Wilhelm Gruissem ◽  
Navreet K. Bhullar
Keyword(s):  
Gene Expression ◽  
Dna Sequence ◽  
Expression Patterns ◽  
Grain Filling ◽  
Aleurone Layer ◽  
Rice Grain ◽  
Sequence Motifs ◽  
Grain Development ◽  
Spatio Temporal ◽  
Dna Sequence Motifs

Abstract Background Rice is an important food source for humans worldwide. Because of its nutritional and agricultural significance, a number of studies addressed various aspects of rice grain development and grain filling. Nevertheless, the molecular processes underlying grain filling and development, and in particular the contributions of different grain tissues to these processes, are not understood. Main Text Using RNA-sequencing, we profiled gene expression activity in grain tissues comprised of cross cells (CC), the nucellar epidermis (NE), ovular vascular trace (OVT), endosperm (EN) and the aleurone layer (AL). These tissues were dissected using laser capture microdissection (LCM) at three distinct grain development stages. The mRNA expression datasets offer comprehensive and new insights into the gene expression patterns in different rice grain tissues and their contributions to grain development. Comparative analysis of the different tissues revealed their similar and/or unique functions, as well as the spatio-temporal regulation of common and tissue-specific genes. The expression patterns of genes encoding hormones and transporters indicate an important role of the OVT tissue in metabolite transport during grain development. Gene co-expression network prediction on OVT-specific genes identified several distinct and common development-specific transcription factors. Further analysis of enriched DNA sequence motifs proximal to OVT-specific genes revealed known and novel DNA sequence motifs relevant to rice grain development. Conclusion Together, the dataset of gene expression in rice grain tissues is a novel and useful resource for further work to dissect the molecular and metabolic processes during rice grain development.

scholarly journals Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1611
Author(s):  
Nur Fathiah Abdul Abdul Sani ◽  
Ahmad Imran Zaydi Amir Amir Hamzah ◽  
Zulzikry Hafiz Abu Abu Bakar ◽  
Yasmin Anum Mohd Mohd Yusof ◽  
Suzana Makpol ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Expression Patterns ◽  
Age Groups ◽  
Genetic Network ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult’s susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.

scholarly journals Joint profiling of gene expression and chromatin accessibility of amphioxus development at single cell resolution

2021 ◽  
Author(s):  
Pengcheng Ma ◽  
Xingyan Liu ◽  
Huimin Liu ◽  
Zaoxu Xu ◽  
Xiangning Ding ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cell Fate ◽  
Regulatory Networks ◽  
Functional Divergence ◽  
Expression Patterns ◽  
Genetic Regulatory Networks ◽  
Public Access ◽  
Origin And Evolution ◽  
Key Species

Abstract Vertebrate evolution was accompanied with two rounds of whole genome duplication followed by functional divergence in terms of regulatory circuits and gene expression patterns. As a basal and slow-evolving chordate species, amphioxus is an ideal paradigm for exploring the origin and evolution of vertebrates. Single cell sequencing has been widely employed to construct the developmental cell atlas of several key species of vertebrates (human, mouse, zebrafish and frog) and tunicate (sea squirts). Here, we performed single-nucleus RNA sequencing (snRNA-seq) and single-cell assay for transposase accessible chromatin sequencing (scATAC-seq) for different stages of amphioxus (covering embryogenesis and adult tissues). With the datasets generated we constructed the developmental tree for amphioxus cell fate commitment and lineage specification, and revealed the underlying key regulators and genetic regulatory networks. The generated data were integrated into an online platform, AmphioxusAtlas, for public access at http://120.79.46.200:81/AmphioxusAtlas.

scholarly journals Cloning, Characterization, and Expression Features of Chicken CDS2 Splicing Variants

2020 ◽  
Author(s):  
Yuanyuan Xu ◽  
Shuping Zhang ◽  
Yujun Guo ◽  
Wen Chen ◽  
Yanqun Huang
Keyword(s):  
Adipose Tissue ◽  
Real Time ◽  
Real Time Pcr ◽  
Expression Patterns ◽  
Mrna Levels ◽  
Exogenous Insulin ◽  
Quantitative Real Time Pcr ◽  
Temporal Expression ◽  
Spatio Temporal ◽  
The Brain

Abstract Background: The CDS gene encodes the CDP-diacylglycerol synthase enzyme that catalyzes the formation of CDP-diacylglycerol (CDP-DAG) from phosphatidic acid. At present, there are no reports of CDS2 in birds. Here, we identified chicken CDS2 transcripts by combining conventional RT- PCR amplification, 5' RACE (Fig. 1A), and 3' RACE, explored the spatio-temporal expression profiles of total CDS2 and the longest transcript variant CDS2-4, and investigated the effect of exogenous insulin on total the mRNA level of CDS2 by quantitative real-time PCR. Results: Four transcripts of chicken CDS2 (CDS2-1, -2, -3, and -4) were identified, which were alternatively spliced at the 3′-untranslated region (UTR). CDS2 was widely expressed in all tissues examined and the longest variant CDS2-4 was the major transcript. Both total CDS2 and CDS2-4 were prominently expressed in adipose tissue and the heart, and exhibited low expression in the liver and pectoralis of 49 day-old chickens. Quantitative real-time PCR revealed that total CDS2 and CDS2-4 had different spatio-temporal expression patterns in chicken. Total CDS2 exhibited a similar temporal expression tendency with a high level in the later period of incubation (embryonic day 19 [E19] or 1-day-old) in the brain, liver, and pectoralis. While CDS2-4 presented a distinct temporal expression pattern in these tissues, CDS2-4 levels peaked at 21 days in the brain and pectoralis, while liver CDS2-4 mRNA levels were highest at the early stage of hatching (E10). Total CDS2 (P < 0.001) and CDS2-4 (P = 0.0090) mRNA levels in the liver were differentially regulated throughout development of the chicken. Exogenous insulin significantly downregulated the level of total CDS2 at 240 min in the pectoralis of Silky chickens (P < 0.01). Total CDS2 levels in the liver of Silky chickens were higher than that of the broiler in the basal state and after insulin stimulation. Conclusion: Chicken CDS2 has multiple transcripts with variation at the 3′-UTR, which was prominently expressed in adipose tissue. Total CDS2 and CDS2-4 presented distinct spatio-temporal expression patterns, and they were differentially regulated with age in liver. Insulin could regulate chicken CDS2 levels in a breed- and tissue-specific manner.

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