Evaluation of global RNA amplification and its use for high-throughput transcript analysis of laser-microdissected endosperm

A Single Cell but Many Different Transcripts: A Journey into the World of Long Non-Coding RNAs

In late 2012 it was evidenced that most of the human genome is transcribed but only a small percentage of the transcripts are translated. This observation supported the importance of non-coding RNAs and it was confirmed in several organisms. The most abundant non-translated transcripts are long non-coding RNAs (lncRNAs). In contrast to protein-coding RNAs, they show a more cell-specific expression. To understand the function of lncRNAs, it is fundamental to investigate in which cells they are preferentially expressed and to detect their subcellular localization. Recent improvements of techniques that localize single RNA molecules in tissues like single-cell RNA sequencing and fluorescence amplification methods have given a considerable boost in the knowledge of the lncRNA functions. In recent years, single-cell transcription variability was associated with non-coding RNA expression, revealing this class of RNAs as important transcripts in the cell lineage specification. The purpose of this review is to collect updated information about lncRNA classification and new findings on their function derived from single-cell analysis. We also retained useful for all researchers to describe the methods available for single-cell analysis and the databases collecting single-cell and lncRNA data. Tables are included to schematize, describe, and compare exposed concepts.

Screening for imprinted genes using high-resolution melting analysis of PCR amplicons

High-resolution melting (HRM) analysis is a technique that enables researchers to detect polymorphisms in DNA molecules based on different melting profiles and is becoming widely used as a method for detecting SNPs in genomic DNA. In this chapter, we describe how HRM analysis can be used to detect allelic imbalances typical of imprinted genes, where alleles are differentially expressed based on their parent of origin. This involves first producing hybrid seed using parental plants that have sufficient genetic differences to distinguish the parental origin of each allele of the candidate genes. RNA is then isolated from the hybrid seed and converted to cDNA. PCR amplicons are produced using primers designed to span a polymorphic sequence within the transcript of the candidate gene. By using a real-time PCR machine with HRM analysis capability, the PCR amplicons can be analyzed without further manipulations directly after amplification to detect instances of strong allelic imbalance and parent-of-origin-dependent expression.

Genomic dissection of the seed

Seeds play an integral role in the global food supply and account for more than 70% of the calories that we consume on a daily basis. To meet the demands of an increasing population, scientists are turning to seed genomics research to find new and innovative ways to increase food production. Seed genomics is evolving rapidly, and the information produced from seed genomics research has exploded over the past two decades. Advances in modern sequencing strategies that profile every molecule in every cell, tissue, and organ and the emergence of new model systems have provided the tools necessary to unravel many of the biological processes underlying seed development. Despite these advances, the analyses and mining of existing seed genomics data remain a monumental task for plant biologists. This review summarizes seed region and subregion genomic data that are currently available for existing and emerging oilseed models. We provide insight into the development of tools on how to analyze large-scale datasets.

A powerful method for transcriptional profiling of specific cell types in eukaryotes: laser-assisted microdissection and RNA sequencing

The acquisition of distinct cell fates is central to the development of multicellular organisms and is largely mediated by gene expression patterns specific to individual cells and tissues. A spatially and temporally resolved analysis of gene expression facilitates the elucidation of transcriptional networks linked to cellular identity and function. We present an approach that allows cell type-specific transcriptional profiling of distinct target cells, which are rare and difficult to access, with unprecedented sensitivity and resolution. We combined laser-assisted microdissection (LAM), linear amplification starting from <1 ng of total RNA, and RNA-sequencing (RNA-Seq). As a model we used the central cell of the Arabidopsis thaliana female gametophyte, one of the female gametes harbored in the reproductive organs of the flower. We estimated the number of expressed genes to be more than twice the number reported previously in a study using LAM and ATH1 microarrays, and identified several classes of genes that were systematically underrepresented in the transcriptome measured with the ATH1 microarray. Among them are many genes that are likely to be important for developmental processes and specific cellular functions. In addition, we identified several intergenic regions, which are likely to be transcribed, and describe a considerable fraction of reads mapping to introns and regions flanking annotated loci, which may represent alternative transcript isoforms. Finally, we performed a de novo assembly of the transcriptome and show that the method is suitable for studying individual cell types of organisms lacking reference sequence information, demonstrating that this approach can be applied to most eukaryotic organisms.

Molecular profiling of stomatal meristemoids reveals new component of asymmetric cell division and commonalities among stem cell populations in Arabidopsis

The balance between maintenance and differentiation of stem cells is a central question in developmental biology. Development of stomata in Arabidopsis thaliana begins with de novo asymmetric divisions producing meristemoids, proliferating precursor cells with stem cell-like properties. The transient and asynchronous nature of the meristemoid has made it difficult to study its molecular characteristics. Synthetic combination of stomatal differentiation mutants due to loss- or gain-of-function mutations in SPEECHLESS, MUTE, and SCREAM create seedlings with an epidermis overwhelmingly composed of pavement cells, meristemoids, or stomata, respectively. Through transcriptome analysis, we define and characterize the molecular signatures of meristemoids. The reporter localization studies of meristemoid-enriched proteins reveals pathways not previously associated with stomatal development. We identified a novel protein, POLAR, and demonstrate through time-lapse live imaging that it exhibits transient polar localization and segregates unevenly during meristemoid asymmetric divisions. The polar localization of POLAR requires BREAKING OF ASYMMETRY IN THE STOMATAL LINEAGE. Comparative bioinformatic analysis of the transcriptional profiles of a meristemoid with shoot and root apical meristems highlighted cytokinin signaling and the ERECTA family receptor-like kinases in the broad regulation of stem cell populations. Our work reveals molecular constituents of stomatal stem cells and illuminates a common theme among stem cell populations in plants.

A novel procedure for the quantitative analysis of metabolites, storage products and transcripts of laser microdissected seed tissues of Brassica napus

BACKGROUND

The biology of the seed is complicated by the extensive non-homogeneity (spatial gradients) in gene expression, metabolic conversions and storage product accumulation. The detailed understanding of the mechanisms underlying seed growth and storage therefore requires the development of means to obtain tissue-specific analyses. This approach also represents an important priority in the context of seed biotechnology.

RESULTS

We provide a guideline and detailed procedures towards the quantitative analysis of laser micro-dissected (LM) tissues in oilseed rape (Brassica napus). This includes protocols for laser microdissection of the seed, and the subsequent extraction and quantitative analysis of lipids, starch and metabolites (sugars, sugar phosphates, nucleotides, amino acids, intermediates of glycolysis and citric acid cycle). We have also developed a protocol allowing the parallel analysis of the transcriptome using Brassica-specific microarrays. Some data are presented regarding the compartmentation of metabolites within the oilseed rape embryo.

CONCLUSION

The described methodology allows for the rapid, combined analysis of metabolic intermediates, major storage products and transcripts in a tissue-specific manner. The protocols are robust for oilseed rape, and should be readily adjustable for other crop species. The suite of methods applied to LM tissues represents an important step in the context of both the systems biology and the biotechnology of oilseeds.

Rice expression atlas in reproductive development

Gene expression throughout the reproductive process in rice (Oryza sativa) beginning with primordia development through pollination/fertilization to zygote formation was analyzed. We analyzed 25 stages/organs of rice reproductive development including early microsporogenesis stages with 57,381 probe sets, and identified around 26,000 expressed probe sets in each stage. Fine dissection of 25 reproductive stages/organs combined with detailed microarray profiling revealed dramatic, coordinated and finely tuned changes in gene expression. A decrease in expressed genes in the pollen maturation process was observed in a similar way with Arabidopsis and maize. An almost equal number of ab initio predicted genes and cloned genes which appeared or disappeared coordinated with developmental stage progression. A large number of organ-/stage-specific genes were identified; notably 2,593 probe sets for developing anther, including 932 probe sets corresponding to ab initio predicted genes. Analysis of cell cycle-related genes revealed that several cyclin-dependent kinases (CDKs), cyclins and components of SCF E3 ubiquitin ligase complexes were expressed specifically in reproductive organs. Cell wall biosynthesis or degradation protein genes and transcription factor genes expressed specifically in reproductive stages were also newly identified. Rice genes homologous to reproduction-related genes in other plants showed expression profiles both consistent and inconsistent with their predicted functions. The rice reproductive expression atlas is likely to be the most extensive and most comprehensive data set available, indispensable for unraveling functions of many specific genes in plant reproductive processes that have not yet been thoroughly analyzed.

Statistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarray

BACKGROUND

Microarrays are a powerful tool used for the determination of global RNA expression. There is an increasing requirement to focus on profiling gene expression in tissues where it is difficult to obtain large quantities of material, for example individual tissues within organs such as the root, or individual isolated cells. From such samples, it is difficult to produce the amount of RNA required for labelling and hybridisation in microarray experiments, thus a process of amplification is usually adopted. Despite the increasing use of two-cycle amplification for transcriptomic analyses on the Affymetrix ATH1 array, there has been no report investigating any potential bias in gene representation that may occur as a result.

RESULTS

Here we compare transcriptomic data generated using Affymetrix one-cycle (standard labelling protocol), two-cycle (small-sample protocol) and IVT-Express protocols with the Affymetrix ATH1 array using Arabidopsis root samples. Results obtained with each protocol are broadly similar. However, we show that there are 35 probe sets (of a total of 22810) that are misrepresented in the two-cycle data sets. Of these, 33 probe sets were classed as mis-amplified when comparisons of two independent publicly available data sets were undertaken.

CONCLUSIONS

Given the unreliable nature of the highlighted probes, we caution against using data associated with the corresponding genes in analyses involving transcriptomic data generated with two-cycle amplification protocols. We have shown that the Affymetrix IVT-E labelling protocol produces data with less associated bias than the two-cycle protocol, and as such, would recommend this kit for new experiments that involve small samples.

The syncytium-specific expression of the Orysa;KRP3 CDK inhibitor: implication of its involvement in the cell cycle control in the rice (Oryza sativa L.) syncytial endosperm

During rice (Oryza sativa L.) seed development, the primary endosperm nucleus undergoes a series of divisions without cytokinesis, producing a multinucleate cell, known as a syncytium. After several rounds of rapid nuclear proliferation, the syncytium ceases to undergo mitosis; thereafter, the syncytium is partitioned into individual cells by a specific type of cytokinesis called cellularization. The transition between syncytium and cellularization is important in determining the final seed size and is a model for studying the cell cycle and cytokinesis. The involvement of cyclin-dependent kinase (CDK) inhibitors (CKIs) in cell cycle control was investigated here during the transition between syncytium and cellularization. It was found that one of the rice CKIs, Orysa;KRP3, is strongly expressed in the caryopsis at 2 d after flowering (DAF), and its expression is significantly reduced at 3 DAF. The other CKI transcripts did not show such a shift at 2 DAF. In situ hybridization analysis revealed that Orysa;KRP3 is expressed in multinucleate syncytial endosperm at 2 DAF, but not in cellularized endosperm at 3 DAF. Two-hybrid assays showed that Orysa;KRP3 binds Orysa;CDKA;1, Orysa;CDKA;2, Orysa;CycA1;1, and Orysa;CycD2;2. By contrast, Orysa;CDKB2;1 and Orysa;CycB2;2 do not show binding to Orysa;KRP3. Orysa;KRP3 was able to rescue yeast premature cell division due to the dominant positive expression of mutant rice CDKA;1 indicating that Orysa;KRP3 inhibited rice CDK. These data suggest that Orysa;KRP3 is involved in cell cycle control of syncytial endosperm.

Laser microdissection of paraffin-embedded plant tissues for transcript profiling

High-resolution cellular analysis will help answer many important questions in plant biology including how genetic information is differentially used to enable the formation and development of the plant body. By comparing transcriptome data from distinct cell types during various stages of development, insight can be obtained into the transcriptional networks that underpin the attributes and contributions of particular cells and tissues. Laser microdissection (LM) is a technique that enables researchers to obtain specific cells or tissues from histological samples in a manner conducive to downstream molecular analysis. LM has become an established strategy in many areas of biology and it has recently been adapted for use with many types of plant tissue.

Identification of cytoskeleton-associated genes expressed during Arabidopsis syncytial endosperm development

During the early stages of Arabidopsis seed development, the endosperm is syncytial and proliferates rapidly through multiple rounds of mitosis in the absence of cytokinesis and cell wall formation. This stage of endosperm development is important in determining seed viability and size. To identify genes involved in syncytial endosperm development, we analyzed the endosperm transcriptome, obtained using laser capture microdissection of developing seeds at four days after pollination. Our results support the idea that similar sets of genes are required for conventional somatic mitosis with cytokinesis and syncytial proliferation. Furthermore, we identify cytoskeleton associated genes that may act to facilitate syncytial development thereby providing an important resource for further characterization of the processes involved in syncytial endosperm development.

Isolation of RNA from laser-capture-microdissected giant cells at early differentiation stages suitable for differential transcriptome analysis

Plant organ gene expression profile analyses are complicated by the various cell types, and therefore transcription patterns, present in each organ. For example, each gall formed in roots following root knot nematode infection contains between four and eight specialized feeding cells (giant cells, GCs) embedded within hypertrophied root tissues. A recent goal in plant science has been the isolation of nematode feeding cell mRNAs for subsequent gene expression analysis. By adapting current protocols for different plant species and cells, we have developed a simple and rapid method for obtaining GCs from frozen tissue sections of tomato with good morphology and preserved RNA. The tissue sections obtained were suitable for the laser capture microdissection of GCs 6-7 days post-infection, and even of very early developing GCs (48-72 h post-infection), by fixation of tissue with ethanol-acetic acid, infiltration with sucrose and freezing in isopentane with optimal cutting temperature medium. This process was also successful for obtaining control vascular cells from uninfected roots for direct comparison with GCs. A minimum of about 300 GCs and 600 control vascular cells was required for efficient linear RNA amplification through in vitro transcription. Laser capture microdissection-derived RNA, after two rounds of amplification, was successfully used for microarray hybridization and validated with several differentially expressed genes by quantitative polymerase chain reaction. Consistent with our results, 117 homologous genes were found to be co-regulated in a previous microarray analysis of Arabidopsis galls at the same developmental stage. Therefore, we conclude that our method allows the isolation of a sufficient quantity of RNA with a high quality/integrity, appropriate for differential transcriptome analysis.

A roadmap for zinc trafficking in the developing barley grain based on laser capture microdissection and gene expression profiling

Nutrients destined for the developing cereal grain encounter several restricting barriers on their path towards their final storage sites in the grain. In order to identify transporters and chelating agents that may be involved in transport and deposition of zinc in the barley grain, expression profiles have been generated of four different tissue types: the transfer cells, the aleurone layer, the endosperm, and the embryo. Cells from these tissues were isolated with the 'laser capture microdissection' technology and the extracted RNA was subjected to three rounds of T7-based amplification. The amplified RNA was subsequently hybridized to Affymetrix 22K Barley GeneChips. Due to the short average length of the amplified transcripts and the positioning of numerous probe sets at locations more than 400 base pairs (bp) from the poly(A)-tail, a normalization approach was used where the probe positions were taken into account. On the basis of the expression levels of a number of metal homeostasis genes, a working model is proposed for the translocation of zinc from the phloem to the storage sites in the developing grain.

Transcriptome analysis of proliferating Arabidopsis endosperm reveals biological implications for the control of syncytial division, cytokinin signaling, and gene expression regulation

During the early stages of seed development, Arabidopsis (Arabidopsis thaliana) endosperm is syncytial and proliferates rapidly through repeated rounds of mitosis without cytokinesis. This stage of endosperm development is important in determining final seed size and is a model for studying aspects of cellular and molecular biology, such as the cell cycle and genomic imprinting. However, the small size of the Arabidopsis seed makes high-throughput molecular analysis of the early endosperm technically difficult. Laser capture microdissection enabled high-resolution transcript analysis of the syncytial stage of Arabidopsis endosperm development at 4 d after pollination. Analysis of Gene Ontology representation revealed a developmental program dominated by the expression of genes associated with cell cycle, DNA processing, chromatin assembly, protein synthesis, cytoskeleton- and microtubule-related processes, and cell/organelle biogenesis and organization. Analysis of core cell cycle genes implicates particular gene family members as playing important roles in controlling syncytial cell division. Hormone marker analysis indicates predominance for cytokinin signaling during early endosperm development. Comparisons with publicly available microarray data revealed that approximately 800 putative early seed-specific genes were preferentially expressed in the endosperm. Early seed expression was confirmed for 71 genes using quantitative reverse transcription-polymerase chain reaction, with 27 transcription factors being confirmed as early seed specific. Promoter-reporter lines confirmed endosperm-preferred expression at 4 d after pollination for five transcription factors, which validates the approach and suggests important roles for these genes during early endosperm development. In summary, the data generated provide a useful resource providing novel insight into early seed development and identify new target genes for further characterization.

Gene expression analysis of interferon kappa in laser capture microdissected cervical epithelium

Optimal sample handling techniques for tissue preparation and storage, RNA extraction and quantification, and target gene detection are crucial for reliable gene expression analysis. Methods for measuring low-expressing genes, such as interferons, in human cervical samples are not described in the scientific literature. To detect interferon mRNA in human cervical samples we obtained normal and dysplastic frozen and formalin-fixed cervical biopsies from colposcopy. Histopathological diagnosis was performed by one pathologist. Cervical keratinocytes were isolated using laser capture microdissection. Immortalized keratinocytes transduced with or devoid of an HPV oncogene were used for initial method development. RNA from samples was extracted and integrity tested to compare tissue storage and extraction methods. The expression of five housekeeping genes was analyzed in cell lines and patient tissue to permit normalization between samples using quantitative real-time polymerase chain reaction. The usefulness of cDNA amplification was assessed for the detection of low-expressing interferon kappa in cervical tissue. Here we report optimal tissue storage conditions, RNA extraction, sample normalization, and transcript amplification, as well as the sensitivity of quantitative real-time polymerase chain reaction and laser capture microdissection, for interferon kappa detection in cervical tissue. Without these optimized techniques, interferon kappa detection would be unattainable in cervical samples.

Tissue integrity and RNA quality of laser microdissected phloem of potato

The phloem is an important conduit for the transport of signaling molecules including RNA. Phloem sap has served as a source of RNA to profile uncontaminated phloem transcriptomes but its collection is difficult in many species. Laser capture microdissection techniques offer a valuable alternative for isolating RNA from specific vascular cells. In potato (Solanum tuberosum L.), there are seven BEL1-like transcription factors expressed throughout the plant with diverse functions. The RNA of one of these, StBEL5, moves through the phloem from the leaf to stolon tips to regulate tuber formation. In this study, the presence of several BEL RNAs and one Knotted1-like RNA was determined in phloem cells collected by laser microdissection coupled to laser pressure catapulting (LMPC). Three fixatives were compared for their effect on cell morphology and RNA quality in transverse sections of stems of potato. For optimum tissue integrity and quality of RNA from potato stem sections, the best results were achieved using ethanol acetate as the fixative. In addition, the RT-PCR results demonstrated the presence of six out of seven of the StBEL RNAs and a potato Knox RNA in phloem cells.