scholarly journals Not just shades of grey: life is full of colour for the ocellate freshwater river stingray (Potamotrygon motoro)

2021 ◽  
Author(s):  
Vera Schluessel ◽  
Ingolf P. Rick ◽  
Friederike Donata Seifert ◽  
Christina Baumann ◽  
Wayne Iwan Lee Davies
Keyword(s):  
Visible Spectrum ◽  
Transcriptome Profiling ◽  
Opsin Gene ◽  
Rna Seq ◽  
Physiological Basis ◽  
Cone Opsin ◽  
The Family ◽  
Riverine Habitat ◽  
Colour System ◽  
Spectral Absorbance

Previous studies have shown that marine stingrays have the anatomical and physiological basis for colour vision, with cone spectral sensitivities in the blue to green range of the visible spectrum. Behavioural studies on Glaucostegus typus also showed that blue and grey can be perceived and discriminated. The present study is the first to assess visual opsin genetics in the ocellate river stingray (Potamotrygon motoro) and test if individuals perceive colour in two alternative forced choice experiments. Retinal transcriptome profiling using RNA-Seq and quantification demonstrated the presence of lws and rh2 cone opsin genes and a highly expressed single rod (rh1) opsin gene. Spectral tuning analysis predicted these vitamin-A1 based visual photopigments to exhibit spectral absorbance maxima at 461 nm (rh2), 496 nm (rh1), and 555 nm (lws); suggesting the presence of dichromacy in this species. Indeed, P. motoro demonstrates the potential to be equally sensitive to wavelengths from 380 nm to 600 nm of the visible spectrum. Behavioural results showed that red and green plates, as well as blue and yellow plates, were readily discriminated based on colour; however, brightness differences also played a part in the discrimination of blue and yellow. Red hues of different brightness were distinguished significantly above chance level from one another. In conclusion, the genetic and behavioural results support prior data on marine stingrays. However, this study suggests that freshwater stingrays of the family Potamotrygonidae may have a visual colour system that has ecologically adapted to a riverine habitat.

scholarly journals Non-Coding RNA Signatures of B-Cell Acute Lymphoblastic Leukemia

2021 ◽  
Vol 22 (5) ◽  
pp. 2683
Author(s):  
Princess D. Rodriguez ◽  
Hana Paculova ◽  
Sophie Kogut ◽  
Jessica Heath ◽  
Hilde Schjerven ◽  
...  
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
B Cell ◽  
Molecular Mechanisms ◽  
Lymphoblastic Leukemia ◽  
Transcriptome Profiling ◽  
Rna Seq ◽  
Protein Coding ◽  
Non Coding Rna ◽  
Technological Developments ◽  
Cell Acute Lymphoblastic Leukemia

Non-coding RNAs (ncRNAs) comprise a diverse class of non-protein coding transcripts that regulate critical cellular processes associated with cancer. Advances in RNA-sequencing (RNA-Seq) have led to the characterization of non-coding RNA expression across different types of human cancers. Through comprehensive RNA-Seq profiling, a growing number of studies demonstrate that ncRNAs, including long non-coding RNA (lncRNAs) and microRNAs (miRNA), play central roles in progenitor B-cell acute lymphoblastic leukemia (B-ALL) pathogenesis. Furthermore, due to their central roles in cellular homeostasis and their potential as biomarkers, the study of ncRNAs continues to provide new insight into the molecular mechanisms of B-ALL. This article reviews the ncRNA signatures reported for all B-ALL subtypes, focusing on technological developments in transcriptome profiling and recently discovered examples of ncRNAs with biologic and therapeutic relevance in B-ALL.

scholarly journals Erratum: Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study

2014 ◽  
Vol 32 (11) ◽  
pp. 1166-1166 ◽  
Author(s):  
Sheng Li ◽  
Scott W Tighe ◽  
Charles M Nicolet ◽  
Deborah Grove ◽  
Shawn Levy ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Transcriptome Profiling ◽  
Rna Seq ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals Combined Metabolome and Transcriptome Profiling Reveal Optimal Harvest Strategy Model Based on Different Production Purposes in Olive

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 360
Author(s):  
Guodong Rao ◽  
Jianguo Zhang ◽  
Xiaoxia Liu ◽  
Xue Li ◽  
Chenhe Wang
Keyword(s):  
Gene Expression ◽  
Olive Oil ◽  
Expression Patterns ◽  
Transcriptome Profiling ◽  
Minor Components ◽  
Harvest Time ◽  
Rna Seq ◽  
Optimal Harvest ◽  
Harvest Strategy ◽  
Different Color

Olive oil has been favored as high-quality edible oil because it contains balanced fatty acids (FAs) and high levels of minor components. The contents of FAs and minor components are variable in olive fruits of different color at harvest time, which render it difficult to determine the optimal harvest strategy for olive oil producing. Here, we combined metabolome, Pacbio Iso-seq, and Illumina RNA-seq transcriptome to investigate the association between metabolites and gene expression of olive fruits at harvest time. A total of 34 FAs, 12 minor components, and 181 other metabolites (including organic acids, polyols, amino acids, and sugars) were identified in this study. Moreover, we proposed optimal olive harvesting strategy models based on different production purposes. In addition, we used the combined Pacbio Iso-seq and Illumina RNA-seq gene expression data to identify genes related to the biosynthetic pathways of hydroxytyrosol and oleuropein. These data lay the foundation for future investigations of olive fruit metabolism and gene expression patterns, and provide a method to obtain olive harvesting strategies for different production purposes.

scholarly journals RNA-Seq transcriptome profiling of mouse oocytes after in vitro maturation and/or vitrification

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Lei Gao ◽  
Gongxue Jia ◽  
Ai Li ◽  
Haojia Ma ◽  
Zhengyuan Huang ◽  
...  
Keyword(s):  
In Vitro Maturation ◽  
Transcriptome Profiling ◽  
Rna Seq ◽  
Mouse Oocytes

scholarly journals Transcriptomic Profiling of Fruits from Pepper (Capsicum annuum L.), Variety Padrón (Mild Hot), at Two Ripening States

2021 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Salvador González-Gordo ◽  
José M. Palma ◽  
Francisco J. Corpas
Keyword(s):  
Capsicum Annuum ◽  
Transcriptome Profiling ◽  
Rna Seq ◽  
Functional Categories ◽  
Transcriptomic Profiling ◽  
Local Conditions ◽  
Capsicum Annuum L ◽  
Climacteric Fruit ◽  
Genetic Level ◽  
Genus Capsicum

Pepper (Capsicum annuum L.) fruits are one of the most consumed vegetables worldwide. This produce has a great agro-economical relevance, since it is extensively cultivated. These fruits are characterized by their high content of vitamins C and A [1]. Capsicum annuum has many varieties, whose fruits differ in size, shape, color, and pungency, this last characteristic being due to the presence, in different degrees, of capsaicinoids and alkaloids, which are exclusive to the genus Capsicum [2]. The present study focuses on the transcriptomic profiling of an autochthonous Spanish variety called “Padrón” (mild hot) [3]. Pepper “Padrón” plants were grown in farms under the local conditions (42°44′05″ N 8°37′42″ W), and fruits at both green and red ripe ripening stages were collected. The transcriptome profiling was carried out in both types of fruits by RNA sequencing (RNA-seq) using the NextSeq550 system (Illumina®) [4,5]. RNA-seq analysis revealed that the expression of more than half of the 17,499 identified transcripts was modulated during ripening. Comparing to green fruits, 5626 and 5241 genes were up- and down-regulated, respectively, in red fruits. These differentially expressed genes (DEGs) have been analyzed to determine the functional categories that orchestrate the ripening process at the genetic level of this non-climacteric fruit.

scholarly journals Comparative Transcriptome Profiling of High and Low oil yielding Santalum album L.

2021 ◽  
Author(s):  
Tanzeem Fatima ◽  
Rangachari Krishnan ◽  
Ashutosh Srivastava ◽  
Vageeshbabu S. Hanur ◽  
M. Srinivasa Rao
Keyword(s):  
Transcriptome Profiling ◽  
Santalum Album ◽  
Rna Seq ◽  
Improvement Program ◽  
East Indian ◽  
Kegg Pathways ◽  
Oil Biosynthesis ◽  
Genome Wide ◽  
A Genome ◽  
Santalum Album L

East Indian Sandalwood (Santalum album L.) is highly valued for its heartwood and its oil. There have been no efforts to comparative study of high and low oil yielding genetically identical sandalwood trees grown in similar climatic condition. Thus we intend to study a genome wide transcriptome analysis to identify the corresponding genes involved in high oil biosynthesis in S. album. In this study, 15 years old S. album (SaSHc and SaSLc) genotypes were targeted for analysis to understand the contribution of genetic background on high oil biosynthesis in S. album. A total of 28,959187 and 25,598869 raw PE reads were generated by the Illumina sequencing. 2.12 million and 1.811 million coding sequences were obtained in respective accessions. Based on the GO terms, functional classification of the CDS 21262, & 18113 were assigned into 26 functional groups of three GO categories; (4,168; 3,641) for biological process (5,758;4,971) cellular component and (5,108;4,441) for molecular functions. Total 41,900 and 36,571 genes were functionally annotated and KEGG pathways of the DEGs resulted 213 metabolic pathways. In this, 14 pathways were involved in secondary metabolites biosynthesis pathway in S. album. Among 237 cytochrome families, nine groups of cytochromes were participated in high oil biosynthesis. 16,665 differentially expressed genes were commonly detected in both the accessions (SaHc and SaSLc). The results showed that 784 genes were upregulated and 339 genes were downregulated in SaHc whilst 635 upregulated 299 downregulated in SaSLc S. album. RNA-Seq results were further validated by quantitative RT-PCR. Maximum Blast hits were found to be against Vitis vinifera. From this study we have identified additional number of cytochrome family in SaHc. The accessibility of a RNA-Seq for high oil yielding sandalwood accessions will have broader associations for the conservation and selection of superior elite samples/populations for further genetic improvement program.

scholarly journals Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Qingnan Liang ◽  
Rachayata Dharmat ◽  
Leah Owen ◽  
Akbar Shakoor ◽  
Yumei Li ◽  
...  
Keyword(s):  
Single Cell ◽  
Transcriptome Profiling ◽  
Cell Types ◽  
Retinal Cell ◽  
Peripheral Retina ◽  
Marker Genes ◽  
Rna Seq ◽  
Cell Type ◽  
Retinal Tissue ◽  
The Individual

AbstractSingle-cell RNA-seq is a powerful tool in decoding the heterogeneity in complex tissues by generating transcriptomic profiles of the individual cell. Here, we report a single-nuclei RNA-seq (snRNA-seq) transcriptomic study on human retinal tissue, which is composed of multiple cell types with distinct functions. Six samples from three healthy donors are profiled and high-quality RNA-seq data is obtained for 5873 single nuclei. All major retinal cell types are observed and marker genes for each cell type are identified. The gene expression of the macular and peripheral retina is compared to each other at cell-type level. Furthermore, our dataset shows an improved power for prioritizing genes associated with human retinal diseases compared to both mouse single-cell RNA-seq and human bulk RNA-seq results. In conclusion, we demonstrate that obtaining single cell transcriptomes from human frozen tissues can provide insight missed by either human bulk RNA-seq or animal models.

scholarly journals 3′ MACE RNA-sequencing allows for transcriptome profiling in human tissue samples after long-term storage

2020 ◽  
Vol 100 (10) ◽  
pp. 1345-1355 ◽  
Author(s):  
Stefaniya Boneva ◽  
Anja Schlecht ◽  
Daniel Böhringer ◽  
Hans Mittelviefhaus ◽  
Thomas Reinhard ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Storage Time ◽  
Transcriptome Profiling ◽  
Rna Seq ◽  
Fresh Tissue ◽  
Long Term Storage ◽  
Ffpe Samples ◽  
The Impact ◽  
Term Storage

Abstract This study aims to compare the potential of standard RNA-sequencing (RNA-Seq) and 3′ massive analysis of c-DNA ends (MACE) RNA-sequencing for the analysis of fresh tissue and describes transcriptome profiling of formalin-fixed paraffin-embedded (FFPE) archival human samples by MACE. To compare MACE to standard RNA-Seq on fresh tissue, four healthy conjunctiva from four subjects were collected during vitreoretinal surgery, halved and immediately transferred to RNA lysis buffer without prior fixation and then processed for either standard RNA-Seq or MACE RNA-Seq analysis. To assess the impact of FFPE preparation on MACE, a third part was fixed in formalin and processed for paraffin embedding, and its transcriptional profile was compared with the unfixed specimens analyzed by MACE. To investigate the impact of FFPE storage time on MACE results, 24 FFPE-treated conjunctival samples from 24 patients were analyzed as well. Nineteen thousand six hundred fifty-nine transcribed genes were detected by both MACE and standard RNA-Seq on fresh tissue, while 3251 and 2213 transcripts were identified explicitly by MACE or RNA-Seq, respectively. Standard RNA-Seq tended to yield longer detected transcripts more often than MACE technology despite normalization, indicating that the MACE technology is less susceptible to a length bias. FFPE processing revealed negligible effects on MACE sequencing results. Several quality-control measurements showed that long-term storage in paraffin did not decrease the diversity of MACE libraries. We noted a nonlinear relation between storage time and the number of raw reads with an accelerated decrease within the first 1000 days in paraffin, while the numbers remained relatively stable in older samples. Interestingly, the number of transcribed genes detected was independent on FFPE storage time. RNA of sufficient quality and quantity can be extracted from FFPE samples to obtain comprehensive transcriptome profiling using MACE technology. We thus present MACE as a novel opportunity for utilizing FFPE samples stored in histological archives.

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