Nuno Barbosa-Morais

Dr. Nuno Barbosa-Morais


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 December 2012 in Science
Verified
Journal Article
Closed access
PDF file
NBNuno Barbosa-Morais
Nuno Barbosa-Morais
MIManuel Irimia
Manuel Irimia
QPQun Pan
Qun Pan
HXHui Y. Xiong
Hui Y. Xiong
SGSerge Gueroussov
Serge Gueroussov
BBBenjamin J. Blencowe
Benjamin J. Blencowe
Whence Species Variation?: Vertebrates have widely varying phenotypes that are at odds with their much more limited proteincoding genotypes and conserved messenger RNA expression patterns. Genes with multiple exons and introns can undergo alternative splicing, potentially resulting in multiple protein isoforms (see the Perspective by Papasaikas and Valcárcel ). Barbosa-Morais et al. (p. 1587 ) and Merkin et al. (p. 1593 ) analyzed alternative splicing across the genomes of a variety of vertebrates, including human, primates, rodents, opossum, platypus, chicken, lizard, and frog. The findings suggest that the evolution of alternative splicing has for the most part been very rapid and that alternative splicing patterns of most organs more strongly reflect the identity of the species rather than the organ type. Species-classifying alternative splicing can affect key regulators, often in disordered regions of proteins that may influence protein-protein interactions, or in regions involved in protein phosphorylation.

8 October 2007 in Genome Biology
Verified
Journal Article
Open access
PDF file
CBCherie Blenkiron
Cherie Blenkiron
LGLeonard D Goldstein
Leonard D Goldstein
NTNatalie P Thorne
Natalie P Thorne
ISInmaculada Spiteri
Inmaculada Spiteri
SCSuet-Feung Chin
Suet-Feung Chin
EMEric A Miska
Eric A Miska
Background: MicroRNAs (miRNAs), a class of short non-coding RNAs found in many plants and animals, often act post-transcriptionally to inhibit gene expression. Results: Here we report the analysis of miRNA expression in 93 primary human breast tumors, using a bead-based flow cytometric miRNA expression profiling method. Of 309 human miRNAs assayed, we identify 133 miRNAs expressed in human breast and breast tumors. We used mRNA expression profiling to classify the breast tumors as luminal A, luminal B, basal-like, HER2+ and normal-like. A number of miRNAs are differentially expressed between these molecular tumor subtypes and individual miRNAs are associated with clinicopathological factors. Furthermore, we find that miRNAs could classify basal versus luminal tumor subtypes in an independent data set. In some cases, changes in miRNA expression correlate with genomic loss or gain; in others, changes in miRNA expression are likely due to changes in primary transcription and or miRNA biogenesis. Finally, the expression of DICER1 and AGO2 is correlated with tumor subtype and may explain some of the changes in miRNA expression observed. Conclusion: This study represents the first integrated analysis of miRNA expression, mRNA expression and genomic changes in human breast cancer and may serve as a basis for functional studies of the role of miRNAs in the etiology of breast cancer. Furthermore, we demonstrate that bead-based flow cytometric miRNA expression profiling might be a suitable platform to classify breast cancer into prognostic molecular subtypes.

25 September 2014 in Genome Research
Verified
Journal Article
Open access
PDF file
UBUlrich Braunschweig
Ulrich Braunschweig
NBNuno Barbosa-Morais
Nuno Barbosa-Morais
QPQun Pan
Qun Pan
ENEmil N. Nachman
Emil N. Nachman
BABabak Alipanahi
Babak Alipanahi
BBBenjamin J. Blencowe
Benjamin J. Blencowe
Alternative splicing (AS) of precursor RNAs is responsible for greatly expanding the regulatory and functional capacity of eukaryotic genomes. Of the different classes of AS, intron retention (IR) is the least well understood. In plants and unicellular eukaryotes, IR is the most common form of AS, whereas in animals, it is thought to represent the least prevalent form. Using high-coverage poly(A)+ RNA-seq data, we observe that IR is surprisingly frequent in mammals, affecting transcripts from as many as three-quarters of multiexonic genes. A highly correlated set of cis features comprising an “IR code” reliably discriminates retained from constitutively spliced introns. We show that IR acts widely to reduce the levels of transcripts that are less or not required for the physiology of the cell or tissue type in which they are detected. This “transcriptome tuning” function of IR acts through both nonsense-mediated mRNA decay and nuclear sequestration and turnover of IR transcripts. We further show that IR is linked to a cross-talk mechanism involving localized stalling of RNA polymerase II (Pol II) and reduced availability of spliceosomal components. Collectively, the results implicate a global checkpoint-type mechanism whereby reduced recruitment of splicing components coupled to Pol II pausing underlies widespread IR-mediated suppression of inappropriately expressed transcripts.

6 September 2017 in Nature
Verified
Journal Article
Open access
VCVânia Cardoso
Vânia Cardoso
JCJulie Chesné
Julie Chesné
HRHélder Ribeiro
Hélder Ribeiro
BGBethania García-Cassani
Bethania García-Cassani
TCTânia Carvalho
Tânia Carvalho
HVHenrique Veiga-Fernandes
Henrique Veiga-Fernandes
Group 2 innate lymphoid cells (ILC2s) regulate inflammation, tissue repair and metabolic homeostasis, and are activated by host-derived cytokines and alarmins. Discrete subsets of immune cells integrate nervous system cues, but it remains unclear whether neuron-derived signals control ILC2s. Here we show that neuromedin U (NMU) in mice is a fast and potent regulator of type 2 innate immunity in the context of a functional neuron-ILC2 unit. We found that ILC2s selectively express neuromedin U receptor 1 (Nmur1), and mucosal neurons express NMU. Cell-autonomous activation of ILC2s with NMU resulted in immediate and strong NMUR1-dependent production of innate inflammatory and tissue repair cytokines. NMU controls ILC2s downstream of extracellular signal-regulated kinase and calcium-influx-dependent activation of both calcineurin and nuclear factor of activated T cells (NFAT). NMU treatment in vivo resulted in immediate protective type 2 responses. Accordingly, ILC2-autonomous ablation of Nmur1 led to impaired type 2 responses and poor control of worm infection. Notably, mucosal neurons were found adjacent to ILC2s, and these neurons directly sensed worm products and alarmins to induce NMU and to control innate type 2 cytokines. Our work reveals that neuron-ILC2 cell units confer immediate tissue protection through coordinated neuroimmune sensory responses.

5 June 2013 in Nature
Verified
Journal Article
Closed access
PDF file
HHHong Han
Hong Han
MIManuel Irimia
Manuel Irimia
PRP. Joel Ross
P. Joel Ross
Hoon-Ki SungHoon-Ki Sung
Hoon-Ki Sung
BABabak Alipanahi
Babak Alipanahi
BBBenjamin J. Blencowe
Benjamin J. Blencowe

17 October 2008 in Science
Verified
Journal Article
Closed access
PDF file
MWMichael D. Wilson
Michael D. Wilson
NBNuno Barbosa-Morais
Nuno Barbosa-Morais
DSDominic Schmidt
Dominic Schmidt
CCCaitlin M. Conboy
Caitlin M. Conboy
LVLesley Vanes
Lesley Vanes
DODuncan T. Odom
Duncan T. Odom
Homologous sets of transcription factors direct conserved tissue-specific gene expression, yet transcription factor–binding events diverge rapidly between closely related species. We used hepatocytes from an aneuploid mouse strain carrying human chromosome 21 to determine, on a chromosomal scale, whether interspecies differences in transcriptional regulation are primarily directed by human genetic sequence or mouse nuclear environment. Virtually all transcription factor–binding locations, landmarks of transcription initiation, and the resulting gene expression observed in human hepatocytes were recapitulated across the entire human chromosome 21 in the mouse hepatocyte nucleus. Thus, in homologous tissues, genetic sequence is largely responsible for directing transcriptional programs; interspecies differences in epigenetic machinery, cellular environment, and transcription factors themselves play secondary roles.