Nick Rhind

Prof. Nick Rhind

Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

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

Representative Publications

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15 May 2011 in Nature Biotechnology
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Journal Article
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MGManfred G Grabherr
Manfred G Grabherr
BHBrian J Haas
Brian J Haas
MYMoran Yassour
Moran Yassour
JLJoshua Z Levin
Joshua Z Levin
DTDawn A Thompson
Dawn A Thompson
ARAviv Regev
Aviv Regev
Reconstructing full-length transcripts from high-throughput RNA sequencing data is difficult without a reference genome sequence. Grabherr et al. describe Trinity, an algorithm for assembling full-length transcripts from short reads without first mapping the reads to a genome sequence. Massively parallel sequencing of cDNA has enabled deep and efficient probing of transcriptomes. Current approaches for transcript reconstruction from such data often rely on aligning reads to a reference genome, and are thus unsuitable for samples with a partial or missing reference genome. Here we present the Trinity method for de novo assembly of full-length transcripts and evaluate it on samples from fission yeast, mouse and whitefly, whose reference genome is not yet available. By efficiently constructing and analyzing sets of de Bruijn graphs, Trinity fully reconstructs a large fraction of transcripts, including alternatively spliced isoforms and transcripts from recently duplicated genes. Compared with other de novo transcriptome assemblers, Trinity recovers more full-length transcripts across a broad range of expression levels, with a sensitivity similar to methods that rely on genome alignments. Our approach provides a unified solution for transcriptome reconstruction in any sample, especially in the absence of a reference genome.

20 May 2011 in Science
Verified
Journal Article
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NRNick Rhind
Nick Rhind
ZCZehua Chen
Zehua Chen
MYMoran Yassour
Moran Yassour
DTDawn A. Thompson
Dawn A. Thompson
BHBrian J. Haas
Brian J. Haas
CNChad Nusbaum
Chad Nusbaum
The fission yeast clade—comprising Schizosaccharomyces pombe, S. octosporus, S. cryophilus, and S. japonicus—occupies the basal branch of Ascomycete fungi and is an important model of eukaryote biology. A comparative annotation of these genomes identified a near extinction of transposons and the associated innovation of transposon-free centromeres. Expression analysis established that meiotic genes are subject to antisense transcription during vegetative growth, which suggests a mechanism for their tight regulation. In addition, trans-acting regulators control new genes within the context of expanded functional modules for meiosis and stress response. Differences in gene content and regulation also explain why, unlike the budding yeast of Saccharomycotina, fission yeasts cannot use ethanol as a primary carbon source. These analyses elucidate the genome structure and gene regulation of fission yeast and provide tools for investigation across the Schizosaccharomyces clade.

24 February 2006 in Yeast
Verified
Journal Article
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SFSusan Forsburg
Susan Forsburg
NRNick Rhind
Nick Rhind

5 September 1997 in Science
Verified
Journal Article
Closed access
PDF file
BFBeth Furnari
Beth Furnari
NRNick Rhind
Nick Rhind
PRPaul Russell
Paul Russell
Arrest of the cell cycle at the G 2 checkpoint, induced by DNA damage, requires inhibitory phosphorylation of the kinase Cdc2 in both fission yeast and human cells. The kinase Wee1 and the phosphatase Cdc25, which regulate Cdc2 phosphorylation, were evaluated as targets of Chk1, a kinase essential for the checkpoint. Fission yeast cdc2-3w Δcdc25 cells, which express activated Cdc2 and lack Cdc25, were responsive to Wee1 but insensitive to Chk1 and irradiation. Expression of large amounts of Chk1 produced the same phenotype as did loss of the cdc25 gene in cdc2-3w cells. Cdc25 associated with Chk1 in vivo and was phosphorylated when copurified in Chk1 complexes. These findings identify Cdc25, but not Wee1, as a target of the DNA damage checkpoint.

9 July 2013 in Cold Spring Harbor Perspectives in Biology
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Journal Article
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NRNick Rhind
Nick Rhind
DGDavid M. Gilbert
David M. Gilbert
Patterns of replication within eukaryotic genomes correlate with gene expression, chromatin structure, and genome evolution. Recent advances in genome-scale mapping of replication kinetics have allowed these correlations to be explored in many species, cell types, and growth conditions, and these large data sets have allowed quantitative and computational analyses. One striking new correlation to emerge from these analyses is between replication timing and the three-dimensional structure of chromosomes. This correlation, which is significantly stronger than with any single histone modification or chromosome-binding protein, suggests that replication timing is controlled at the level of chromosomal domains. This conclusion dovetails with parallel work on the heterogeneity of origin firing and the competition between origins for limiting activators to suggest a model in which the stochastic probability of individual origin firing is modulated by chromosomal domain structure to produce patterns of replication. Whether these patterns have inherent biological functions or simply reflect higher-order genome structure is an open question.

1 October 2012 in Cold Spring Harbor Perspectives in Biology
Verified
Journal Article
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NRNick Rhind
Nick Rhind
PRPaul Russell
Paul Russell
Cell division requires careful orchestration of three major events: entry into mitosis, chromosomal segregation, and cytokinesis. Signaling within and between the molecules that control these events allows for their coordination via checkpoints, a specific class of signaling pathways that ensure the dependency of cell-cycle events on the successful completion of preceding events. Multiple positive- and negative-feedback loops ensure that a cell is fully committed to division and that the events occur in the proper order. Unlike other signaling pathways, which integrate external inputs to decide whether to execute a given process, signaling at cell division is largely dedicated to completing a decision made in G1 phase—to initiate and complete a round of mitotic cell division. Instead of deciding if the events of cell division will take place, these signaling pathways entrain these events to the activation of the cell-cycle kinase cyclin-dependent kinase 1 (CDK1) and provide the opportunity for checkpoint proteins to arrest cell division if things go wrong.