James D. Mills
University of Amsterdam
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Featured researches published by James D. Mills.
Neurobiology of Aging | 2012
James D. Mills; Michal Janitz
Alternative splicing (AS) is a post-transcriptional process that occurs in multiexon genes, and errors in this process have been implicated in many human diseases. Until recently, technological limitations prevented AS from being examined at the genome-wide scale. With the advent of new technologies, including exon arrays and next-generation sequencing (NGS) techniques (e.g., RNA-Seq), a higher resolution view of the human transcriptome is now available. This is particularly applicable in the study of neurodegenerative brain diseases (NBDs), such as Alzheimers disease and Parkinsons disease, because the brain has the greatest amount of alternative splicing of all human tissues. Although many of the AS events associated with these disorders were initially identified using low-throughput methodologies, genome-wide analysis allows for more in-depth studies, marking a new chapter in transcript exploration. In this review, the latest technologies used to study the transcriptome and the AS genes that have been associated with a number of neurodegenerative brain diseases are discussed.
Neuroscience Letters | 2013
James D. Mills; Thomas Nalpathamkalam; Heidi I.L. Jacobs; Caroline Janitz; Daniele Merico; Pingzhao Hu; Michael Janitz
The parietal cortex of the human brain plays a unique role in the coordination of movement and in the integration of signals from the other cortices. Because of its extensive connections and involvement in many higher-order cognitive functions, neurodegenerative changes in the parietal lobe are believed to be crucial in the early symptoms of Alzheimers disease (AD). Little is known about the transcriptome of this part of the human brain or how it is perturbed by the neurodegenerative process. To that end, we performed mRNA sequencing using the Illumina RNA-Seq technique on samples derived from normal and AD parietal lobes. Gene expression analysis evaluating alternatively spliced isoform expression and promoter usage revealed surprisingly elevated transcriptome activity in the AD condition. This phenomenon was particularly apparent in the alternative usage of transcriptional start sites. A Gene Ontology analysis of the differentially expressed genes revealed enrichment in the functional pathways related to lipid metabolism, thus highlighting the importance of astrocyte activity in the neurodegenerative process. We also identified an upregulation of the diazepam-binding inhibitor (DBI) gene in AD, as the result of a splicing switch toward shorter, intron-retaining isoforms driven by alternative promoters and was coupled with a simultaneous decrease in the abundance of protein-coding transcripts. These two DBI isoforms have not been described previously.
Current Genomics | 2013
James D. Mills; Yoshihiro Kawahara; Michael Janitz
RNA-Seq is a recently developed sequencing technology, that through the analysis of cDNA allows for unique insights into the transcriptome of a cell. The data generated by RNA-Seq provides information on gene expression, alternative splicing events and the presence of non-coding RNAs. It has been realised non-coding RNAs are more then just artefacts of erroneous transcription and play vital regulatory roles at the genomic, transcriptional and translational level. Transcription of the DNA sense strand produces antisense transcripts. This is known as antisense transcription and often results in the production of non-coding RNAs that are complementary to their associated sense transcripts. Antisense tran-scription has been identified in bacteria, fungi, protozoa, plants, invertebrates and mammals. It seems that antisense tran-scriptional ‘hot spots’ are located around nucleosome-free regions such as those associated with promoters, indicating that it is likely that antisense transcripts carry out important regulatory functions. This underlines the importance of identifying the presence and understanding the function of these antisense non-coding RNAs. The information concerning strand ori-gin is often lost during conventional RNA-Seq; capturing this information would substantially increase the worth of any RNA-Seq experiment. By manipulating the input cDNA during the template preparation stage it is possible to retain this vital information. This forms the basis of strand-specific RNA-Seq. With an ability to unlock immense portions of new in-formation surrounding the transcriptome, this cutting edge technology may hold the key to developing a greater under-standing of the transcriptome.
PLOS ONE | 2013
James D. Mills; Tomas Kavanagh; Woojin Scott Kim; Bei Jun Chen; Yoshihiro Kawahara; Glenda M. Halliday; Michael Janitz
The human frontal lobe has undergone accelerated evolution, leading to the development of unique human features such as language and self-reflection. Cortical grey matter and underlying white matter reflect distinct cellular compositions in the frontal lobe. Surprisingly little is known about the transcriptomal landscape of these distinct regions. Here, for the first time, we report a detailed transcriptomal profile of the frontal grey (GM) and white matter (WM) with resolution to alternatively spliced isoforms obtained using the RNA-Seq approach. We observed more vigorous transcriptome activity in GM compared to WM, presumably because of the presence of cellular bodies of neurons in the GM and RNA associated with the nucleus and perinuclear space. Among the top differentially expressed genes, we also identified a number of long intergenic non-coding RNAs (lincRNAs), specifically expressed in white matter, such as LINC00162. Furthermore, along with confirmation of expression of known markers for neurons and oligodendrocytes, we identified a number of genes and splicing isoforms that are exclusively expressed in GM or WM with examples of GABRB2 and PAK2 transcripts, respectively. Pathway analysis identified distinct physiological and biochemical processes specific to grey and white matter samples with a prevalence of synaptic processes in GM and myelination regulation and axonogenesis in the WM. Our study also revealed that expression of many genes, for example, the GPR123, is characterized by isoform switching, depending in which structure the gene is expressed. Our report clearly shows that GM and WM have perhaps surprisingly divergent transcriptome profiles, reflecting distinct roles in brain physiology. Further, this study provides the first reference data set for a normal human frontal lobe, which will be useful in comparative transcriptome studies of cerebral disorders, in particular, neurodegenerative diseases.
Journal of Neurochemistry | 2016
Bei Jun Chen; James D. Mills; Konii Takenaka; Nicola Bliim; Glenda M. Halliday; Michael Janitz
Circular RNAs (circRNAs) have been recently identified as a naturally occurring family of widespread and diverse endogenous non‐coding RNAs that may regulate gene expression in mammals. They are unusually stable RNA molecules with cell type‐ or developmental stage‐specific expression patterns. However, the role of circRNAs in pathology of complex disease is entirely unknown. Here, we report the specific circular transcriptome in the multiple system atrophy (MSA) brain as determined by RNA sequencing. Five circRNAs, namely IQCK, MAP4K3, EFCAB11, DTNA, and MCTP1, were identified and validated as specifically over‐expressed in MSA frontal cortex. The expression levels of linear transcripts were not significantly altered and thus did not follow the pattern of their circular counterparts. Further analysis of expression of five MSA‐specific circRNAs revealed their over‐expression in the white matter of the MSA cortical tissue. Together, this is the first report describing perturbation of circular transcriptome in α‐synucleinopathies.
Neurogenetics | 2015
James D. Mills; Woojin Scott Kim; Glenda M. Halliday; Michael Janitz
Multiple system atrophy (MSA) is a distinct member of a group of neurodegenerative diseases known as α-synucleinopathies, which are characterized by the presence of aggregated α-synuclein in the brain. MSA is unique in that the principal site for α-synuclein deposition is in the oligodendrocytes rather than neurons. The cause of MSA is unknown, and the pathogenesis of MSA is still largely speculative. Brain transcriptome perturbations during the onset and progression of MSA are mostly unknown. Using RNA sequencing, we performed a comparative transcriptome profiling analysis of the grey matter (GM) and white matter (WM) of the frontal cortex of MSA and control brains. The transcriptome sequencing revealed increased expression of the alpha and beta haemoglobin genes in MSA WM, decreased expression of the transthyretin (TTR) gene in MSA GM and numerous region-specific long intervening non-coding RNAs (lincRNAs). In contrast, we observed only moderate changes in the expression patterns of the α-synuclein (SNCA) gene, which confirmed previous observations by other research groups. Our study suggests that at the transcriptional level, MSA pathology may be related to increased iron levels in WM and perturbations of the non-coding fraction of the transcriptome.
Journal of Human Transcriptome | 2015
Melanie Ward; Callum McEwan; James D. Mills; Michael Janitz
Abstract Over the past decade, the focus of molecular biology has shifted from being predominately DNA and protein-centric to having a greater appreciation of RNA. It is now accepted that the genome is pervasively transcribed in tissue- and cell-specific manner, to produce not only protein-coding RNAs, but also an array of noncoding RNAs (ncRNAs). Many of these ncRNAs have been found to interact with DNA, protein and other RNA molecules where they exert regulatory functions. Long ncRNAs (lncRNAs) are a subclass of ncRNAs that are particularly interesting due to their cell-specific and species-specific expression patterns and unique conservation patterns. Currently, individual lncRNAs have been classified functionally; however, for the vast majority the functional relevance is unknown. To better categorize lncRNAs, an understanding of their specific expression patterns and evolutionary constraints are needed.
Journal of Genetics and Genomics | 2012
Elina Jacobs; James D. Mills; Michael Janitz
As more information is gathered on the mechanisms of transcription and translation, it is becoming apparent that these processes are highly regulated. The formation of mRNA secondary and tertiary structures is one such regulatory process that until recently it has not been analysed in depth. Formation of these mRNA structures has the potential to enhance and inhibit alternative splicing of transcripts, and regulate rates and amount of translation. As this regulatory mechanism potentially impacts at both the transcriptional and translational level, while also potentially utilising the vast array of non-coding RNAs, it warrants further investigation. Currently, a variety of high-throughput sequencing techniques including parallel analysis of RNA structure (PARS), fragmentation sequencing (FragSeq) and selective 2-hydroxyl acylation analysed by primer extension (SHAPE) lead the way in the genome-wide identification and analysis of mRNA structure formation. These new sequencing techniques highlight the diversity and complexity of the transcriptome, and demonstrate another regulatory mechanism that could become a target for new therapeutic approaches.
Molecular Brain | 2015
James D. Mills; Tomas Kavanagh; Woojin Scott Kim; Bei Jun Chen; Paul D. Waters; Glenda M. Halliday; Michael Janitz
BackgroundLong intervening non-coding RNAs (lincRNAs) are a recently discovered subclass of non-coding RNAs. LincRNAs are expressed across the mammalian genome and contribute to the pervasive transcription phenomenon. They display a tissue-specific and species-specific mode of expression and are present abundantly in the brain.ResultsHere, we report the expression patterns of oligodendrocyte maturation-associated long intervening non-coding RNA (OLMALINC), which is highly expressed in the white matter (WM) of the human frontal cortex compared to the grey matter (GM) and peripheral tissues. Moreover, we identified a novel isoform of OLMALINC that was also up-regulated in the WM. RNA-interference (RNAi) knockdown of OLMALINC in oligodendrocytes, which are the major cell type in the WM, caused significant changes in the expression of genes regulating cytostructure, cell activation and membrane signaling. Gene ontology enrichment analysis revealed that over 10% of the top 25 up- and down-regulated genes were involved in oligodendrocyte maturation. RNAi experiments in neuronal cells resulted in the perturbation of genes controlling cell proliferation. Furthermore, we identified a novel cis-natural antisense non-coding RNA, which we named OLMALINC-AS, which maps to the first exon of the dominant isoform of OLMALINC.ConclusionsOur study has demonstrated for the first time that a primate-specific lincRNA regulates the expression of genes critical to human oligodendrocyte maturation, which in turn might be regulated by an antisense counterpart.
Journal of Molecular Neuroscience | 2013
Tomas Kavanagh; James D. Mills; Woojin Scott Kim; Glenda M. Halliday; Michael Janitz
Pathway analysis is a powerful method for discerning differentially regulated genes and elucidating their biological importance. It allows for the identification of perturbed or aberrantly expressed genes within a biological context from extensive data sets and offers a simplistic approach for interrogating such data sets. With the growing use of microarrays and RNA-Seq, data for genome-wide studies are growing at an alarming rate, and the use of deep sequencing is revealing elements of the genome previously uncharacterised. Through the employment of pathway analysis, mechanisms in complex diseases may be explored and novel causatives found primarily through differentially regulated genes. Further, with the implementation of next generation sequencing, a deeper resolution may be attained, particularly in identification of isoform diversity and SNPs. Here, we look at a broad overview of pathway analysis in the human brain transcriptome and its relevance in teasing out underlying causes of complex diseases. We will outline processes in data gathering and analysis of particular diseases in which these approaches have been successful.