Evidence map›Paper›PMID 34353340›Full record

ArticleGenome biology2021

Specific splice junction detection in single cells with SICILIAN.

Roozbeh Dehghannasiri, Julia Eve Olivieri, Ana Damljanovic, Julia Salzman

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Roozbeh Dehghannasiri *Department of Biochemistry, Stanford University, Stanford, CA, 94305, USA.
Julia Eve Olivieri *Department of Biochemistry, Stanford University, Stanford, CA, 94305, USA.
Ana DamljanovicSeven Bridges Genomics Inc., Cambridge, MA, 02142, USA.
Julia SalzmanDepartment of Biochemistry, Stanford University, Stanford, CA, 94305, USA. julia.salzman@stanford.edu.

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Computational- and experimental- driven discovery of splicing regulation and circRNA functionR35GM139517 · NIGMS · STANFORD UNIVERSITY · PI Julia Salzman · 2021 to 2026
$2.9M
Cancer Systems Biology Scholars ProgramR25CA180993 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2014 to 2018
$2.2M
Unbiased discovery of mechanisms regulating circRNAR01GM116847 · NIGMS · STANFORD UNIVERSITY · PI SALZMAN, JULIA · 2015 to 2019
$1.6M
NCI NIH HHS R25 CA180993NIGMS NIH HHS R01 GM116847NIGMS NIH HHS R35 GM139517NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve precision. SICILIAN is a general method that can be applied to bulk or single-cell data, but has particular utility for single-cell analysis due to that data's unique challenges and opportunities for discovery. SICILIAN's precise splice detection achieves high accuracy on simulated data, improves concordance between matched single-cell and bulk datasets, and increases agreement between biological replicates. SICILIAN detects unannotated splicing in single cells, enabling the discovery of novel splicing regulation through single-cell analysis workflows.

Indexed as

RNA SplicingSingle-Cell AnalysisAlgorithmsAlternative SplicingAnimalsComputational BiologyEntropyHumansMiceSequence Analysis, RNA

Identifiers

PMID34353340
PMCPMC8339681

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.