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Adrian R. Krainer

dblp:04/1155 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-9024-9501ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics › alternative splicing analysis
alternative splicing detection
0.412019
PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis · Bioinform. 2019
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.412019
PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis · Bioinform. 2019
Bioinformatics and computational biology › transcriptomics › alternative splicing analysis
alternative splicing quantification
0.112011
SpliceTrap: a method to quantify alternative splicing under single cellular conditions · Bioinform. 2011
Bioinformatics and computational biology
transcriptomics
0.112011
SpliceTrap: a method to quantify alternative splicing under single cellular conditions · Bioinform. 2011
Bioinformatics and computational biology › sequence analysis
long-read sequencing
0.112019
PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis · Bioinform. 2019
Bioinformatics and computational biology
nanopore direct RNA sequencing
0.112019
PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

benchmark comparison · 0.4PSI index · 0.4paired-end RNA-seq · 0.1bayesian inference · 0.1
YearPublicationVenuePosition
2019 PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis
abstract
MOTIVATION: Percent Spliced-In (PSI) values are commonly used to report alternative pre-mRNA splicing (AS) changes. Previous PSI-detection tools were limited to specific AS events and were evaluated by in silico RNA-seq data. We developed PSI-Sigma, which uses a new PSI index, and we employed actual (non-simulated) RNA-seq data from spliced synthetic genes (RNA Sequins) to benchmark its performance (i.e. precision, recall, false positive rate and correlation) in comparison with three leading tools (rMATS, SUPPA2 and Whippet). RESULTS: PSI-Sigma outperformed these tools, especially in the case of AS events with multiple alternative exons and intron-retention events. We also briefly evaluated its performance in long-read RNA-seq analysis, by sequencing a mixture of human RNAs and RNA Sequins with nanopore long-read sequencers. AVAILABILITY AND IMPLEMENTATION: PSI-Sigma is implemented is available at https://github.com/wososa/PSI-Sigma.
Kuan-Ting Lin, Adrian R. Krainer
Bioinform.2
2011 SpliceTrap: a method to quantify alternative splicing under single cellular conditions
abstract
MOTIVATION: Alternative splicing (AS) is a pre-mRNA maturation process leading to the expression of multiple mRNA variants from the same primary transcript. More than 90% of human genes are expressed via AS. Therefore, quantifying the inclusion level of every exon is crucial for generating accurate transcriptomic maps and studying the regulation of AS. RESULTS: Here we introduce SpliceTrap, a method to quantify exon inclusion levels using paired-end RNA-seq data. Unlike other tools, which focus on full-length transcript isoforms, SpliceTrap approaches the expression-level estimation of each exon as an independent Bayesian inference problem. In addition, SpliceTrap can identify major classes of alternative splicing events under a single cellular condition, without requiring a background set of reads to estimate relative splicing changes. We tested SpliceTrap both by simulation and real data analysis, and compared it to state-of-the-art tools for transcript quantification. SpliceTrap demonstrated improved accuracy, robustness and reliability in quantifying exon-inclusion ratios. CONCLUSIONS: SpliceTrap is a useful tool to study alternative splicing regulation, especially for accurate quantification of local exon-inclusion ratios from RNA-seq data. AVAILABILITY AND IMPLEMENTATION: SpliceTrap can be implemented online through the CSH Galaxy server http://cancan.cshl.edu/splicetrap and is also available for download and installation at http://rulai.cshl.edu/splicetrap/. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Martin Akerman, Shuying Sun, W. Richard McCombie, Adrian R. Krainer, Michael Q. Zhang
Bioinform.5
2008 Identification of Synaptic Targets of Drosophila Pumilio
abstract
Drosophila Pumilio (Pum) protein is a translational regulator involved in embryonic patterning and germline development. Recent findings demonstrate that Pum also plays an important role in the nervous system, both at the neuromuscular junction (NMJ) and in long-term memory formation. In neurons, Pum appears to play a role in homeostatic control of excitability via down regulation of para, a voltage gated sodium channel, and may more generally modulate local protein synthesis in neurons via translational repression of eIF-4E. Aside from these, the biologically relevant targets of Pum in the nervous system remain largely unknown. We hypothesized that Pum might play a role in regulating the local translation underlying synapse-specific modifications during memory formation. To identify relevant translational targets, we used an informatics approach to predict Pum targets among mRNAs whose products have synaptic localization. We then used both in vitro binding and two in vivo assays to functionally confirm the fidelity of this informatics screening method. We find that Pum strongly and specifically binds to RNA sequences in the 3'UTR of four of the predicted target genes, demonstrating the validity of our method. We then demonstrate that one of these predicted target sequences, in the 3'UTR of discs large (dlg1), the Drosophila PSD95 ortholog, can functionally substitute for a canonical NRE (Nanos response element) in vivo in a heterologous functional assay. Finally, we show that the endogenous dlg1 mRNA can be regulated by Pumilio in a neuronal context, the adult mushroom bodies (MB), which is an anatomical site of memory storage.
Gengxin Chen, Wanhe Li, Qing-Shuo Zhang, Michael Regulski, Nishi Sinha, Jody Barditch, Tim Tully, Adrian R. Krainer, Michael Q. Zhang, Josh Dubnau
PLoS Comput. Biol.8