Pervasive transcription is widespread amongst eukaryotic genomes, and produces long noncoding RNAs (lncRNAs) in addition to classically annotated transcripts such as messenger RNAs (mRNAs). LncRNAs are heterogeneous in length and map to intergenic regions or overlap with annotated genes. Analogous to mRNAs, lncRNAs are transcribed by RNA polymerase II, regulated by common transcription factors, and possess 5’ caps and perhaps 3’ poly(A) tails. However, lncRNAs perform distinct functions, acting as scaffolds for ribonucleoprotein complexes or directing proteins to nucleic acid targets. The act of transcribing a lncRNA can also affect the local chromatin environment. Furthermore, whereas mRNAs are predominantly turned over in the cytoplasm, both nuclear and cytoplasmic pathways reportedly participate in lncRNA degradation. In this study, I address the question of when and how lncRNAs and mRNAs are distinguished in the cell. Messenger RNAs interact with a defined series of protein factors governing their production, processing and decay, and I hypothesised that lncRNAs might be similarly regulated. I therefore sought to determine which mRNA-binding proteins, if any, also bind lncRNAs. I reasoned that this would reveal the point at which lncRNAs and mRNAs diverge, and how differences in their biogenesis and turnover equip them for different roles. I selected factors from key stages of mRNA metabolism in Saccharomyces cerevisiae, and identified their transcriptome-wide targets using CRAC (crosslinking and analysis of cDNAs). CRAC can detect interactions with low abundance transcripts under physiological conditions, and reveal where within each transcript a protein is bound. Analyses of binding sites in mature mRNAs and intron-containing pre-mRNAs revealed the order in which the tested factors interact with mRNAs, and which region they bind. The poly(A)-binding protein Nab2 bound throughout mRNAs, consistent with an architectural role, whereas the cytoplasmic decay factors Xrn1 and Ski2 bound to poly(A) tails, which might act as hubs to coordinate turnover. The RNA packaging factors Tho2 and Gbp2, and nuclear surveillance factors Mtr4 and Trf4 bound abundantly to intron-containing premRNAs, indicating that they act during or shortly after transcription. The tested factors bound lncRNAs to various extents. LncRNA binding was most abundant for Mtr4 and Trf4, moderate for Tho2, Gbp2, the cap binding complex component Sto1, and the 3’ end processing factors Nab2, Hrp1 and Pab1, and lowest for Xrn1, Ski2 and the export receptor Mex67. This suggests that early events in lncRNA and mRNA biogenesis are similar, but unlike mRNAs, most lncRNAs are retained and degraded in the nucleus. Analyses of two documented classes of lncRNA, cryptic unstable transcripts (CUTs) and stable unannotated transcripts (SUTs), revealed some differences. SUTs were most similar to mRNAs, with canonical cleavage and polyadenylation signals flanking their 3’ ends, and poly(A) tails bound by the poly(A)-binding protein Pab1. CUTs lacked these characteristics, and in comparison to SUTs bound more abundantly to Mtr4 and Trf4 and less so to Ski2, Xrn1 and Mex67. Furthermore, CUTs accumulated upon Hrp1 depletion, suggesting that Hrp1 functions non-canonically to promote CUT turnover. Mtr4, Trf4 and Nab2 also bound abundantly to promoter-proximal RNA fragments generated from ~1000 protein coding genes. These fragments possessed short oligo(A) tails (hallmarks of nuclear surveillance substrates), were not bound to cytoplasmic factors, and apparently correspond to a population of ~150-200 nt promoter-proximal lncRNAs. Notably, CRAC analyses of Mtr4 and Sto1 targets in yeast subjected to a media shift revealed widespread changes in the abundance and surveillance of mRNAs, promoter-proximal transcripts and CUTs, which at many loci were arranged in a complex transcriptional architecture. Overall, the transcriptome-wide binding analyses presented here reveal that lncRNAs diverge from mRNAs prior to export, and are predominantly retained in the nucleus. Transcript fate is apparently determined during 3’ end processing, with CUTs diverging from mRNAs early in transcription via a distinct termination pathway coupled to rapid turnover, and SUTs diverging during or shortly after cleavage and polyadenylation, making them more stable and perhaps prone to escape to the cytoplasm. Promoter-proximal transcripts might arise from termination associated with an early checkpoint in Pol II transcription. The diverse behaviours of lncRNAs arise from their association with distinct subsets of RNA binding proteins, some of which perform different roles when bound to different types of transcript. In conclusion, my results provide the foundation for a mechanistic understanding of how distinct classes of non-coding Pol II transcripts are produced, and how they can perform diverse functions throughout the nucleus.

Evidências sugerem que somente cerca de 2% do genoma codifica proteínas, mas que a maior parte dos 80% restante possui atividade transcricional. Por não ser codificadora de proteínas, essa fração do genoma foi considerada como \'DNA lixo\'. Entretanto, estudos mais recentes e análises pós-ENCODE vem demonstrando que parte significativa destes RNAs não-codificantes desempenham papéis importantes em processos biológicos essenciais e também em doenças. Os RNAs longos não codificadores (lncRNAs) embora tradicionalmente conhecidos pelo imprintinggenômico, vem demonstrando diversos mecanismos de regulação da expressão gênica, principalmente emnível pós transcricional. Um destes lncRNAs que está envolvido principalmente com a metastase em câncer é o HOTAIR. O melanoma tem sido utilizado como modelo de progressao do câncer por suas etapas bem definidas e por isso já tem apresentado alguns lncRNAs envolvidos na melanomagenese e progressão do melanoma, tal como o HOTAIR. Assim, neste trabalho foi analisado a expressão de lncRNAs de amostras de melanócito e melanoma, sendo que as amostras malignas representam as principais fases de progressão deste tipo de câncer. Foram analisados os níveis de expressão relativa. Além disso, foi realizado a expressão diferencial dos grupos representativos do melanoma. Foram encontrados lncRNAs com valores de expressão e significância (p-ajustado <0,01 e fold change >1) que podem ser indicativos de expressão associada a progressão do melanoma. Os lncRNAs mais diferencialmente expressos foram avaliados quanto a sua capacidade de interação proteína-RNA e literatura científica disponível e então foram selecionados para posteriores ensaios funcionais. / Evidence suggests that only about 2% of the genome encodes protein, but most remaining 80% has transcriptional activity. Since they do not coding for proteins, this fraction of the genome was considered \'junk DNA\', However, recent studies and post-ENCODE analisys has shown that significant part of these non-coding RNAs play important roles in essential biological processes and in disease. Long noncoding RNAs (lncRNAs) although traditionally known for genomic imprinting, has demonstrated several mechanisms of regulation of gene expression, especially at the post transcriptional level. One of these lncRNAs that is involved primarily with metastasis in câncer is HOTAIR. Melanoma has been used as a model of câncer progression by its well-defined steps, and so it has been presented some lncRNAs involved in melanoma progression and melanomagenese, as HOTAIR was demonstrated. In this work it was analyzed the expression of lncRNAs of melanocyte and melanoma samples, and malignant samples represent the main stages of progression of this type of câncer. Relative expression levels were analyzed. Furthermore, it was performed differential expression of representative melanoma groups. lncRNAs found with expression values and significance (p-adjusted <0.01 and fold change> 1) may be indicative of expression associated with melanoma progression. The lncRNAs more differentially expressed were evaluated for their ability to interact protein-RNA and available scientific literature and then were selected for further functional assays.

Evidências sugerem que somente cerca de 2% do genoma codifica proteínas, mas que a maior parte dos 80% restante possui atividade transcricional. Por não ser codificadora de proteínas, essa fração do genoma foi considerada como \'DNA lixo\'. Entretanto, estudos mais recentes e análises pós-ENCODE vem demonstrando que parte significativa destes RNAs não-codificantes desempenham papéis importantes em processos biológicos essenciais e também em doenças. Os RNAs longos não codificadores (lncRNAs) embora tradicionalmente conhecidos pelo imprintinggenômico, vem demonstrando diversos mecanismos de regulação da expressão gênica, principalmente emnível pós transcricional. Um destes lncRNAs que está envolvido principalmente com a metastase em câncer é o HOTAIR. O melanoma tem sido utilizado como modelo de progressao do câncer por suas etapas bem definidas e por isso já tem apresentado alguns lncRNAs envolvidos na melanomagenese e progressão do melanoma, tal como o HOTAIR. Assim, neste trabalho foi analisado a expressão de lncRNAs de amostras de melanócito e melanoma, sendo que as amostras malignas representam as principais fases de progressão deste tipo de câncer. Foram analisados os níveis de expressão relativa. Além disso, foi realizado a expressão diferencial dos grupos representativos do melanoma. Foram encontrados lncRNAs com valores de expressão e significância (p-ajustado <0,01 e fold change >1) que podem ser indicativos de expressão associada a progressão do melanoma. Os lncRNAs mais diferencialmente expressos foram avaliados quanto a sua capacidade de interação proteína-RNA e literatura científica disponível e então foram selecionados para posteriores ensaios funcionais. / Evidence suggests that only about 2% of the genome encodes protein, but most remaining 80% has transcriptional activity. Since they do not coding for proteins, this fraction of the genome was considered \'junk DNA\', However, recent studies and post-ENCODE analisys has shown that significant part of these non-coding RNAs play important roles in essential biological processes and in disease. Long noncoding RNAs (lncRNAs) although traditionally known for genomic imprinting, has demonstrated several mechanisms of regulation of gene expression, especially at the post transcriptional level. One of these lncRNAs that is involved primarily with metastasis in câncer is HOTAIR. Melanoma has been used as a model of câncer progression by its well-defined steps, and so it has been presented some lncRNAs involved in melanoma progression and melanomagenese, as HOTAIR was demonstrated. In this work it was analyzed the expression of lncRNAs of melanocyte and melanoma samples, and malignant samples represent the main stages of progression of this type of câncer. Relative expression levels were analyzed. Furthermore, it was performed differential expression of representative melanoma groups. lncRNAs found with expression values and significance (p-adjusted <0.01 and fold change> 1) may be indicative of expression associated with melanoma progression. The lncRNAs more differentially expressed were evaluated for their ability to interact protein-RNA and available scientific literature and then were selected for further functional assays.

Até pouco tempo acreditava-se que a maioria das moléculas de RNA estava relacionada à tradução de proteínas. Porém, descobriu-se que outros tipos de moléculas de RNA que não são traduzidas estão presentes em muitos organismos diferentes e afetam uma variedade de processos moleculares, são os chamados RNAs não-codificantes (ncRNAs). Apesar de sua importância funcional, os métodos biológicos e computacionais para a detecção e caracterização de RNAs não-codificantes ainda são imprecisos e incompletos. A identificação de novas espécies de ncRNAs é difícil através de procedimentos experimentais e as técnicas computacionais existentes são lentas. O objetivo deste trabalho foi obter uma ferramenta mais eficiente para a comparação de uma seqüência de RNA não-codificante contra um banco de seqüências. Para isso foi proposto e implementado um modelo para identificação computacional de ncRNAs com apoio dos pacote Viena e Infernal e foram realizados experimentos para avaliá-lo / Until recently it was generally accepted that most RNA molecules were involved in the translation process. However, it was discovered that many types of untranslated RNA molecules are present in many different organisms and they are related to a wide variety of molecular processes. These molecules are called non-coding RNAs (ncRNAs). Despite their functional importance, the biological and computational methods to detect and identify non-coding RNAs are still imprecise and incomplete. The discovery of new ncRNAs species is difficult through experimental procedures and the existing computational techniques are slow. This project aimed at obtaining a more efficient tool that compares a non-coding RNA sequence against a sequence database. In order to achieve this, a computational model for ncRNAs identification using the Vienna and Infernal packages has been proposed and implemented. Experiments were conduced to evaluate the model

Até pouco tempo acreditava-se que a maioria das moléculas de RNA estava relacionada à tradução de proteínas. Porém, descobriu-se que outros tipos de moléculas de RNA que não são traduzidas estão presentes em muitos organismos diferentes e afetam uma variedade de processos moleculares, são os chamados RNAs não-codificantes (ncRNAs). Apesar de sua importância funcional, os métodos biológicos e computacionais para a detecção e caracterização de RNAs não-codificantes ainda são imprecisos e incompletos. A identificação de novas espécies de ncRNAs é difícil através de procedimentos experimentais e as técnicas computacionais existentes são lentas. O objetivo deste trabalho foi obter uma ferramenta mais eficiente para a comparação de uma seqüência de RNA não-codificante contra um banco de seqüências. Para isso foi proposto e implementado um modelo para identificação computacional de ncRNAs com apoio dos pacote Viena e Infernal e foram realizados experimentos para avaliá-lo / Until recently it was generally accepted that most RNA molecules were involved in the translation process. However, it was discovered that many types of untranslated RNA molecules are present in many different organisms and they are related to a wide variety of molecular processes. These molecules are called non-coding RNAs (ncRNAs). Despite their functional importance, the biological and computational methods to detect and identify non-coding RNAs are still imprecise and incomplete. The discovery of new ncRNAs species is difficult through experimental procedures and the existing computational techniques are slow. This project aimed at obtaining a more efficient tool that compares a non-coding RNA sequence against a sequence database. In order to achieve this, a computational model for ncRNAs identification using the Vienna and Infernal packages has been proposed and implemented. Experiments were conduced to evaluate the model

The study of non-coding RNA genes has received increased attention in recent years fuelled by accumulating evidence that larger portions of genomes than previously acknowledged are transcribed into RNA molecules of mostly unknown function, as well as the discovery of novel non-coding RNA types and functional RNA elements. Here, we demonstrate that specific properties of graphs that represent the predicted RNA secondary structure reflect functional information. We introduce a computational algorithm and an associated web-based tool (GraPPLE) for classifying non-coding RNA molecules as functional and, furthermore, into Rfam families based on their graph properties. Unlike sequence-similarity-based methods and covariance models, GraPPLE is demonstrated to be more robust with regard to increasing sequence divergence, and when combined with existing methods, leads to a significant improvement of prediction accuracy. Furthermore, graph properties identified as most informative are shown to provide an understanding as to what particular structural features render RNA molecules functional. Thus, GraPPLE may offer a valuable computational filtering tool to identify potentially interesting RNA molecules among large candidate datasets.

Almost every precursor mRNA (pre-mRNA) in a eukaryotic organism undergoes splicing, in some cases resulting in the formation of more than one splice variant, a process called alternative splicing. RNA-Seq provides a major opportunity to capture the state of the transcriptome, which includes the detection of alternative spicing events. Alternative splicing is a highly regulated process occurring in a complex machinery called the spliceosome. In this dissertation, I focus on identification of different splice variants and splicing factors that are produced during Arabidopsis and soybean embryo development. I developed several data analysis pipelines for the detection and the functional characterization of active splice variants and splicing factors that arise during embryo development. The main goal of this dissertation was to identify transcriptional changes associated with specific stages of embryo development and infer possible associations between known regulatory genes and their targets. We identified several instances of exon skipping and intron retention as products of alternative splicing. The coding potential of the splice variants were evaluated using CodeWise. I developed CodeWise, a weighted support vector machine classifier to assess the coding potential of novel transcripts with respect to RNA secondary structure free energy, conserved domains, and sequence properties. We also examined the effect of alternative splicing on the domain composition of resulting protein isoforms. The majority of splice variants pairs encode proteins with identical domains or similar domains with truncation and in less than 10% of the cases alternative splicing results in gain or loss of a conserved domain. I constructed several possible regulatory networks that occur at specific stages of embryo development. In addition, in order to gain a better understanding of splicing regulation, we developed the concept of co-splicing networks, as a group of transcripts containing common RNA-binding motifs, which are co-expressed with a specific splicing factor. For this purpose, I developed a multi-stage analysis pipeline to integrate the co-expression networks with de novo RNA binding motif discovery at inferred splice sites, resulting in the identification of specific splicing factors and the corresponding cis-regulatory sequences that cause the production of splice variants. This approach resulted in the development of several novel hypotheses about the regulation of minor and major splicing in developing Arabidopsis embryos. In summary, this dissertation provides a comprehensive view of splicing regulation in Arabidopsis and soybean embryo development using computational analysis. / Ph. D.

Not all transcribed DNA encodes protein, and some of these noncoding RNAs (ncRNAs), such as roX1 and roX2, may play important roles in the cell. The functional roles of the majority of these, however, remain largely unknown. In this thesis, I first used EST and mRNA evidence to define 2,788 lincRNA loci within the Drosophila melanogaster genome. I suggest that up to 1,652 of these are functional, as 1,411 show evidence for significant evolutionary constraint while 241 fast-evolving loci are enriched in short RNA species. A distinct set of 1,119 lincRNA loci were defined by RNA-seq, the vast majority of which show clear primary sequence constraint. Their expression profiles and enrichment in particular chromatin domains indicate that these lincRNAs are likely involved in developmental regulation. I also identified 42 potential analogous lincRNAs with shared genomic locations between Drosophila and mouse. Constrained, non-embryonic lincRNAs defined by ESTs are transcribed preferentially in the vicinity of protein-coding genes encoding transcription factors and I demonstrated that one of these, which I name dEvf-2, positively regulates the expression of its genomically adjacent transcription factor, Dll, in cell culture. Finally, I used a reverse genetics approach to search for lincRNA promoter mutations and examined the effect of these on lincRNA expression. My findings suggest that many, previously unknown, functional lincRNAs exist within the Drosophila genome and are worthy of further in-depth experimental investigation.

Estudos recentes têm revelado que uma fração significativa do transcriptoma de eucariotos é composta por RNAs não codificadores longos (lncRNAs). Este trabalho investigou o padrão de expressão de um conjunto de lncRNAs originados a partir de regiões intrônicas de genes codificadores de proteínas em três linhagens celulares tumorais humanas utilizando microarranjos de DNA customizados. Realizamos uma série de análises in silico com a perspectiva de identificar propriedades globais desses transcritos, tais como a abundância relativa em diferentes tecidos, características evolutivas, estruturais e regulatórias, além de possíveis funções celulares. Avaliamos também a contribuição da metilação do DNA, um mecanismo de silenciamento epigenético da expressão de genes codificadores de proteínas, na regulação da expressão de lncRNAs intrônicos. Observamos que uma fração dos lncRNAs intrônicos detectados nas linhagens estudadas são conservados evolutivamente, tem padrão de expressão tecido específico, e está enriquecida em elementos regulatórios na sua extremidade 5\'. Foram identificados subconjuntos de lncRNAs intrônicos possivelmente atuando sobre genes associados a vias regulatórias importantes para o controle do desenvolvimento de organismos e ciclo celular. Comparativamente a mRNAs, uma menor proporção de lncRNAs intrônicos possui ilhas CpGs (CGIs) na vizinhança de seu início de transcrição. Apesar disso, observamos que um subconjunto desses transcritos teve sua expressão sensível ao tratamento com o agente desmetilante de DNA 5-AZA, demonstrando que lncRNAs intrônicos transcritos podem estar sujeitos a regulação transcricional mediada por metilação do DNA. Dentre os lncRNAs intrônicos regulados por metilação do DNA, destaca-se o lncRNA AS-APP, cuja expressão aumentou em 25 a 80 vezes nas linhagens celulares DU-145 e HEK293, respectivamente, após tratamento com 5-AZA. Este lncRNA possui uma CGI metilada e um promotor ativo a cerca de 4 kb de distância do seu início de transcrição conhecido. O aumento da transcrição do lncRNA AS-APP após desmetilação do DNA correlacionou-se a uma diminuição significativa dos níveis de expressão do mRNA do gene APP. Este resultado sugere uma possível ação regulatória em cis do lncRNA AS-APP no locus APP, um importante gene envolvido na doença de Alzheimer e com expressão associada ao prognóstico de alguns tipos de câncer. Os resultados obtidos neste trabalho reforçam a ideia de que lncRNAs intrônicos constituem unidades transcricionais independentes que se encontram sobre controle regulatório nos diferentes tipos celulares. Foi gerado também um catálogo de lncRNAs intrônicos regulados por metilação que permitirá a seleção de candidatos com maior potencial de relevância funcional para caracterização detalhada. / Recent studies have revealed that a significant fraction of the eukaryotic transcriptome is composed of long noncoding RNAs (lncRNAs). This work investigated the expression pattern in three human tumor cell lines of a set of lncRNAs originated from intronic regions of protein coding RNAs, using custom DNA oligoarrays. In silico analyses were performed to identify global properties of these transcripts such as relative abundance in different human tissues, regulatory, evolutionary and structural aspects, as well as their possible cellular functions. In addition, we evaluated the contribution of DNA methylation, an important epigenetic mechanism that control the expression of protein coding genes, in the regulation of intronic lncRNAs expression. We found that a fraction of the intronic lncRNAs detected in the cell lines are evolutionarily conserved, show a tissue specific expression pattern, and is enriched in regulatory elements at their 5\' end region. Subsets of intronic lncRNAs possibly acting on genes associated to important regulatory pathways controlling organism development and cell cycle were identified. A smaller proportion of intronic lncRNAs relative to mRNAs displayed CpG islands (CGI) in the vicinity of the transcription start site. Notwithstanding, we observed that a subset of these transcripts responded to treatment with the DNA demethylation agent 5-AZA, demonstrating that intronic lncRNAs may be under transcriptional regulation mediated by DNA methylation. Among intronic lncRNAs regulated by DNA demethylation, stands out AS-APP lncRNA, which was up regulated 25 to 80 times in DU-145 and HEK293 cell lines following 5-AZA treatment, respectively,. This lncRNAs has a methylated CGI and an active promoter at 4-kb upstream from its known transcription start site. Increased AS-APP lncRNA transcription following DNA demethylation correlated with a significant decrease of APP gene messenger RNA levels. This finding suggests a possible cis-regulatory action of the lncRNA AS-APP in the APP locus, an important gene involved in Alzheimer disease and whose expression is associated with prognosis of different cancer types. The results obtained in this study reinforce the idea that intronic lncRNAs constitute independent transcriptional units under regulatory control in the different cell types. It was generated a catalog of intronic lncRNAs regulated by DNA methylation that will allow the selection of candidates with higher potential of functional relevance for detailed characterization

Estudos recentes têm revelado que uma fração significativa do transcriptoma de eucariotos é composta por RNAs não codificadores longos (lncRNAs). Este trabalho investigou o padrão de expressão de um conjunto de lncRNAs originados a partir de regiões intrônicas de genes codificadores de proteínas em três linhagens celulares tumorais humanas utilizando microarranjos de DNA customizados. Realizamos uma série de análises in silico com a perspectiva de identificar propriedades globais desses transcritos, tais como a abundância relativa em diferentes tecidos, características evolutivas, estruturais e regulatórias, além de possíveis funções celulares. Avaliamos também a contribuição da metilação do DNA, um mecanismo de silenciamento epigenético da expressão de genes codificadores de proteínas, na regulação da expressão de lncRNAs intrônicos. Observamos que uma fração dos lncRNAs intrônicos detectados nas linhagens estudadas são conservados evolutivamente, tem padrão de expressão tecido específico, e está enriquecida em elementos regulatórios na sua extremidade 5\'. Foram identificados subconjuntos de lncRNAs intrônicos possivelmente atuando sobre genes associados a vias regulatórias importantes para o controle do desenvolvimento de organismos e ciclo celular. Comparativamente a mRNAs, uma menor proporção de lncRNAs intrônicos possui ilhas CpGs (CGIs) na vizinhança de seu início de transcrição. Apesar disso, observamos que um subconjunto desses transcritos teve sua expressão sensível ao tratamento com o agente desmetilante de DNA 5-AZA, demonstrando que lncRNAs intrônicos transcritos podem estar sujeitos a regulação transcricional mediada por metilação do DNA. Dentre os lncRNAs intrônicos regulados por metilação do DNA, destaca-se o lncRNA AS-APP, cuja expressão aumentou em 25 a 80 vezes nas linhagens celulares DU-145 e HEK293, respectivamente, após tratamento com 5-AZA. Este lncRNA possui uma CGI metilada e um promotor ativo a cerca de 4 kb de distância do seu início de transcrição conhecido. O aumento da transcrição do lncRNA AS-APP após desmetilação do DNA correlacionou-se a uma diminuição significativa dos níveis de expressão do mRNA do gene APP. Este resultado sugere uma possível ação regulatória em cis do lncRNA AS-APP no locus APP, um importante gene envolvido na doença de Alzheimer e com expressão associada ao prognóstico de alguns tipos de câncer. Os resultados obtidos neste trabalho reforçam a ideia de que lncRNAs intrônicos constituem unidades transcricionais independentes que se encontram sobre controle regulatório nos diferentes tipos celulares. Foi gerado também um catálogo de lncRNAs intrônicos regulados por metilação que permitirá a seleção de candidatos com maior potencial de relevância funcional para caracterização detalhada. / Recent studies have revealed that a significant fraction of the eukaryotic transcriptome is composed of long noncoding RNAs (lncRNAs). This work investigated the expression pattern in three human tumor cell lines of a set of lncRNAs originated from intronic regions of protein coding RNAs, using custom DNA oligoarrays. In silico analyses were performed to identify global properties of these transcripts such as relative abundance in different human tissues, regulatory, evolutionary and structural aspects, as well as their possible cellular functions. In addition, we evaluated the contribution of DNA methylation, an important epigenetic mechanism that control the expression of protein coding genes, in the regulation of intronic lncRNAs expression. We found that a fraction of the intronic lncRNAs detected in the cell lines are evolutionarily conserved, show a tissue specific expression pattern, and is enriched in regulatory elements at their 5\' end region. Subsets of intronic lncRNAs possibly acting on genes associated to important regulatory pathways controlling organism development and cell cycle were identified. A smaller proportion of intronic lncRNAs relative to mRNAs displayed CpG islands (CGI) in the vicinity of the transcription start site. Notwithstanding, we observed that a subset of these transcripts responded to treatment with the DNA demethylation agent 5-AZA, demonstrating that intronic lncRNAs may be under transcriptional regulation mediated by DNA methylation. Among intronic lncRNAs regulated by DNA demethylation, stands out AS-APP lncRNA, which was up regulated 25 to 80 times in DU-145 and HEK293 cell lines following 5-AZA treatment, respectively,. This lncRNAs has a methylated CGI and an active promoter at 4-kb upstream from its known transcription start site. Increased AS-APP lncRNA transcription following DNA demethylation correlated with a significant decrease of APP gene messenger RNA levels. This finding suggests a possible cis-regulatory action of the lncRNA AS-APP in the APP locus, an important gene involved in Alzheimer disease and whose expression is associated with prognosis of different cancer types. The results obtained in this study reinforce the idea that intronic lncRNAs constitute independent transcriptional units under regulatory control in the different cell types. It was generated a catalog of intronic lncRNAs regulated by DNA methylation that will allow the selection of candidates with higher potential of functional relevance for detailed characterization