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Systematic dissection of long non coding RNAs involved in the regulation of embryonic stem cell pluripotencyChakraborty, Debojyoti 09 July 2014 (has links) (PDF)
Living organisms portray diverse patterns of growth and developmental regulation. The entire process, beginning from a single cell to the formation of tissues and organ systems and the final culmination in a form that characterizes a fully grown organism is closely guarded by numerous molecular pathways. Like a master conductor, the genetic material of the cell which is stored in its DNA (deoxyribonucleic acid), determines the fate of each individual cell and demarcates its developmental direction. Although in an organism, this genetic material is normally identical in every cell, there are differences in the ways cells respond to them. For example, skin cells behave differently from muscle cells and their developmental processes are highly variable in space and time.
It is now known that based on intrinsic or extrinsic environmental cues, the information passed on from DNA is converted into a functional protein product through an RNA (ribonucleic acid) intermediate. Thus, different genes fire at different times leading to diverse patterns of developmental regulation among cells. However, there exists a stark contrast between the size of the genome (DNA), the transcriptome (transcribed RNAs) and the proteome (functional protein products) inside a cell. While there are abundant RNA molecules that are transcribed from the DNA, only few give rise to proteins.
The search for function of RNAs that do not code for proteins is a relatively new topic in molecular biology. With advancements in sequencing methodologies, there is a rapid surge in the discovery of such molecules but due to the nonavailability of systematic tools to study them, the functional characterization of these RNAs has been relatively slow. Even among the non coding RNAs, there exists small and long varieties of which the long non coding RNAs (lncRNAs) have more heterogenous functional attributes. The roles that these lncRNAs play in development is only recently emerging, especially in the field of embryonic stem (ES) cell biology.
ES cells are of particular interest to researchers due to their properties of replicating indefinitely in culture and giving rise to all the germ layers that eventually constitute an organism. These unique abilities make them perfect models to study essential cellular developmental processes and also contribute to the understanding of the molecular pathways that ultimately lead to diseases like like other processes, is orchestrated by a host of different factors in which lncRNAs are slowly emerging as important players. Although there are thousands of lncRNAs identified, only a few have been implicated in pluripotency. I reasoned that there should be more such candidates and to study them one needs to develop a strategy to functionally investigate several lncRNAs simultaneously.
Loss-of-function screens have been extremely successful for dissecting the functions of protein coding genes. Among the triggers for conducting such screens, endoribonuclease-prepared small interfering RNAs (esiRNAs) have been demonstrated as effective mRNA depletion agents with minimum silencing of non-intended targets. Since these RNA interference (RNAi) agents had not been comprehensively tested on lncRNAs, I used them for conducting a screen to discover lncRNAs involved in pluripotency. Using a combination of RNAi and localization strategies, I here report the discovery of a novel lncRNA called Panct1 which through interaction with other factors takes part in the ES cell pluripotency programme. In the process of characterization of Panct1, I have also identified and partially characterized a potential DNA binding protein called CXORF23 which might emerge as an important player in the determination of stem cell fate. These discoveries hint towards the presence of more such lncRNA protein interactions and further widen our understanding of stem cell biology.
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Systems analysis of early endosome motility through identification of molecular motorsChandrashaker, Akhila 04 October 2010 (has links) (PDF)
Endocytosis is an evolutionary conserved process of internalization of cargo from the extracellular environment, be they ligands, nutritional and signaling or pathogens into cells. Following their entry, cargo is received into vesiculo-tubular network of early endosomal compartments from where they are sorted and routed to appropriate cellular destinations through transport along the endocytic network. Recycling cargo is sorted away from other cargo resident in early endosomes through tubulation resulting in fission of recycling vesicles, while those to be degraded are progressively concentrated in early endosomes to be degraded in lysosomes.
Early endosomes are dynamic organelles that have been shown to move centripetally following the internalization of cargo into at the cell periphery. Their motility from the cell periphery to the juxtanuclear location of the cell involves convoluted trajectories that include directed motility, bi-directional switches, saltatory behavior and stalls. This complex motility presumably contributes toward the cargo sorting, duration of cargo residence and spatio-temporal signaling by early endosomes. How the different regimes of motility, and nature and number of molecular motors involved in early endosome motility contribute toward endosome function is not understood.
The aim of this study was to probe into the regulation of endosome motility and understand how transport organizes early endosome network. Towards this end, live cell time-lapse movies of Rab5 endosomes were analyzed to derive motility properties contributing to organization of early endosomes. Consistent and significant bias toward the cell centre (minus end motility) in kinetic parameters such as speed, displacement and duration of motility contribute to centripetal flux of Rab5 early endosomes.
A phenomenological property of early endosome motility is its saltatory behavior that produces saturation curves in Mean Square Displacement (MSD) plots. This phase of motility is descriptive, with no understanding of its mechanism or function. Live cell candidate RNAi screen and cytoskeletal perturbation analysis were performed to identify molecules regulating saltatory motility. To this end, cellular microtubule perturbation and RNAi knock down of several Kinesin motor candidates showed a loss in saturation behavior. Potential candidates identified have to be tested for their effect on endosome function through cargo sorting and kinetic assays to gain insights into the role of saltatory motility in endosome function.
Molecular motors mediate Rab5 motility. Therefore, understanding regulation of motility requires identifying number and nature of molecular motors involved in their transport. Towards this end, a functional cargo (LDL) degradation RNAi screen targeting molecular motors was performed. The Ambion Select technology was used with 3 siRNAs targeting every gene in the library. Analysis of screen produced by lack of phenotype consistency between the multiple siRNAs targeting the same gene. Hence, a search for technology with better target specificity was initiated. Technologies tested were Ambion Select, Ambion Silencer Select, Dharmacon ON-TARGET Plus, esiRNA and Invitrogen Stealth. Invitrogen Stealth technology was found to produce the least off-targets and was most specific in terms of consistency of phenotypes produced by multiple siRNAs silencing the same target gene. Assay conditions were also found to influence the silencing specificities to a significant extent. Hence, a systematic assay optimization exercise was performed in terms of the concentration of siRNA used for transfection and time window of assay to maximize specificity of siRNA silencing. Insights obtained from methodologies developed herein not only provide invaluable guidelines in choosing RNAi commercial libraries for screens, but also underscore the importance of establishing optimal assay conditions to minimize off-targets and improve specificity of silencing target genes.
The motor screen was repeated with RNAi library from Invitrogen Stealth. Several potentially interesting candidates have been identified. Also, correlation analyses of phenotypes produced in the screen have indicated toward potential regulatory motor complexes, all of which await biochemical validation.
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The dynamic RNA-binding behavior of SR proteinsBrugiolo, Mattia 11 January 2016 (has links) (PDF)
In the cell, the genetic information encoded in the DNA is transcribed to RNA. All RNAs that are transcribed in the cell are initially produced as precursor RNAs, which have to undergo various steps of processing to obtain their mature form. The maturation and processing for all RNA classes requires the activity of multiple RNA binding proteins (RBPs). An important family of RBPs that is involved in RNA maturation and processing is the SR-protein family.
SR proteins are important for the regulation of a multitude of processes that include: splicing, transcription, export, RNA stabilization, translation and ncRNA processing. As of yet, there have been no comprehensive studies that describe how SR proteins dynamically regulate the maturation of RNAs.
The results presented in this thesis provide new insights into the function and activity of SR proteins during RNA maturation. My experiments greatly expand the knowledge surrounding the action of RNA-binding proteins in vivo and in different cell compartments.
To study the action of two different SR proteins in different cell compartments, I developed a new technique that combines cell fractionation and iCLIP, which I named FRACKING. For the first time, this method allowed me to collect information regarding the subcellular location where the RNA-protein interactions are taking place, giving a dynamic picture of the in vivo binding of SR proteins and of RNA binding proteins (RBP) in general.
By using FRACKING on two heavily shuttling SR proteins, SRSF3 and SRSF7, I showed that both SR proteins are very dynamic in their binding behavior with RNAs. My research showed that both SRSF3 and SRSF7 strongly associate with RNAs during transcription (co-transcriptionally) and that they often remain bound to these transcripts until they are exported to the cytoplasm. The functions of SRSF3 and SRSF7 are closely related to their binding location on the target RNAs. I identified a subset of highly conserved introns that associated with SR proteins and are retained in their transcripts. These intron-retaining isoforms, contrary to textbook knowledge, are exported to the cytoplasm.
I showed, for the first time, that SRSF3 and SRSF7 strongly interact with snoRNAs in the chromatin, and that this snoRNA-SR-protein binding behavior is distinct between SRSF3 and SRSF7. SRSF3 binds to the mature snoRNA sequence, and also to the surrounding intronic sequences, pointing towards a possible activity in guiding snoRNA maturation. Whereas SRSF7 associates to mature snoRNA sequences.
Taken together, my study identified a dynamic pool of interactions for two SR proteins, in different cell compartments and discovered new activities for the two SR proteins. Importantly, this study challenges textbook knowledge on splicing and export of mRNAs by identifying a subset of transcripts that can be exported even when they retain introns.
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Co-transcriptional splicing in two yeastsHerzel, Lydia 18 September 2015 (has links) (PDF)
Cellular function and physiology are largely established through regulated gene expression. The first step in gene expression, transcription of the genomic DNA into RNA, is a process that is highly aligned at the levels of initiation, elongation and termination. In eukaryotes, protein-coding genes are exclusively transcribed by RNA polymerase II (Pol II). Upon transcription of the first 15-20 nucleotides (nt), the emerging nascent RNA 5’ end is modified with a 7-methylguanosyl cap. This is one of several RNA modifications and processing steps that take place during transcription, i.e. co-transcriptionally. For example, protein-coding sequences (exons) are often disrupted by non-coding sequences (introns) that are removed by RNA splicing. The two transesterification reactions required for RNA splicing are catalyzed through the action of a large macromolecular machine, the spliceosome. Several non-coding small nuclear RNAs (snRNAs) and proteins form functional spliceosomal subcomplexes, termed snRNPs.
Sequentially with intron synthesis different snRNPs recognize sequence elements within introns, first the 5’ splice site (5‘ SS) at the intron start, then the branchpoint and at the end the 3’ splice site (3‘ SS). Multiple conformational changes and concerted assembly steps lead to formation of the active spliceosome, cleavage of the exon-intron junction, intron lariat formation and finally exon-exon ligation with cleavage of the 3’ intron-exon junction. Estimates on pre-mRNA splicing duration range from 15 sec to several minutes or, in terms of distance relative to the 3‘ SS, the earliest detected splicing events were 500 nt downstream of the 3‘ SS. However, the use of indirect assays, model genes and transcription induction/blocking leave the question of when pre-mRNA splicing of endogenous transcripts occurs unanswered.
In recent years, global studies concluded that the majority of introns are removed during the course of transcription. In principal, co-transcriptional splicing reduces the need for post-transcriptional processing of the pre-mRNA. This could allow for quicker transcriptional responses to stimuli and optimal coordination between the different steps. In order to gain insight into how pre-mRNA splicing might be functionally linked to transcription, I wanted to determine when co-transcriptional splicing occurs, how transcripts with multiple introns are spliced and if and how the transcription termination process is influenced by pre-mRNA splicing.
I chose two yeast species, S. cerevisiae and S. pombe, to study co-transcriptional splicing. Small genomes, short genes and introns, but very different number of intron-containing genes and multi-intron genes in S. pombe, made the combination of both model organisms a promising system to study by next-generation sequencing and to learn about co-transcriptional splicing in a broad context with applicability to other species. I used nascent RNA-Seq to characterize co-transcriptional splicing in S. pombe and developed two strategies to obtain single-molecule information on co-transcriptional splicing of endogenous genes:
(1) with paired-end short read sequencing, I obtained the 3’ nascent transcript ends, which reflect the position of Pol II molecules during transcription, and the splicing status of the nascent RNAs. This is detected by sequencing the exon-intron or exon-exon junctions of the transcripts. Thus, this strategy links Pol II position with intron splicing of nascent RNA. The increase in the fraction of spliced transcripts with further distance from the intron end provides valuable information on when co-transcriptional splicing occurs.
(2) with Pacific Biosciences sequencing (PacBio) of full-length nascent RNA, it is possible to determine the splicing pattern of transcripts with multiple introns, e.g. sequentially with transcription or also non-sequentially. Part of transcription termination is cleavage of the nascent transcript at the polyA site. The splicing status of cleaved and non-cleaved transcripts can provide insights into links between splicing and transcription termination and can be obtained from PacBio data.
I found that co-transcriptional splicing in S. pombe is similarly prevalent to other species and that most introns are removed co-transcriptionally. Co-transcriptional splicing levels are dependent on intron position, adjacent exon length, and GC-content, but not splice site sequence. A high level of co-transcriptional splicing is correlated with high gene expression. In addition, I identified low abundance circular RNAs in intron-containing, as well as intronless genes, which could be side-products of RNA transcription and splicing.
The analysis of co-transcriptional splicing patterns of 88 endogenous S. cerevisiae genes showed that the majority of intron splicing occurs within 100 nt downstream of the 3‘ SS. Saturation levels vary, and confirm results of a previous study. The onset of splicing is very close to the transcribing polymerase (within 27 nt) and implies that spliceosome assembly and conformational rearrangements must be completed immediately upon synthesis of the 3‘ SS.
For S. pombe genes with multiple introns, most detected transcripts were completely spliced or completely unspliced. A smaller fraction showed partial splicing with the first intron being most often not spliced. Close to the polyA site, most transcripts were spliced, however uncleaved transcripts were often completely unspliced. This suggests a beneficial influence of pre-mRNA splicing for efficient transcript termination.
Overall, sequencing of nascent RNA with the two strategies developed in this work offers significant potential for the analysis of co-transcriptional splicing, transcription termination and also RNA polymerase pausing by profiling nascent 3’ ends. I could define the position of pre-mRNA splicing during the process of transcription and provide evidence for fast and efficient co-transcriptional splicing in S. cerevisiae and S. pombe, which is associated with highly expressed genes in both organisms. Differences in S. pombe co-transcriptional splicing could be linked to gene architecture features, like intron position, GC-content and exon length.
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