Evidence map›Paper›PMID 36798358›Full record

ArticlebioRxiv : the preprint server for biology2023

Scalable co-sequencing of RNA and DNA from individual nuclei.

Timothy R Olsen, Pranay Talla, Julia Furnari, Jeffrey N Bruce, Peter Canoll, Shan Zha, Peter A Sims

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Timothy R OlsenDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032.
Pranay TallaDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032.
Julia FurnariDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY 10032.
Jeffrey N BruceDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY 10032.
Peter CanollDepartment of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032.
Shan ZhaDepartment of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032.
Peter A SimsDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032.

Funding

Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Single Cell Analysis of the Infiltrative Margins of Glioblastoma and Post Treatment RecurrenceR01NS103473 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY N BRUCE, Peter Canoll · 2017 to 2026
$4.3M
The role of DNA-PKcs in DNA repair, lymphocyte development, RNA metabolism and tumor suppressionR01CA275184 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Shan Zha · 2022 to 2026
$2.7M
NCI NIH HHS R01 CA275184NCI NIH HHS U54 CA209997NINDS NIH HHS R01 NS103473
6 · The paper itself

Abstract

The ideal technology for directly investigating the relationship between genotype and phenotype would analyze both RNA and DNA genome-wide and with single-cell resolution. However, existing tools lack the throughput required for comprehensive analysis of complex tumors and tissues. We introduce a highly scalable method for jointly profiling DNA and expression following nucleosome depletion (DEFND-seq). In DEFND-seq, nuclei are nucleosome-depleted, tagmented, and separated into individual droplets for mRNA and genomic DNA barcoding. Once nuclei have been depleted of nucleosomes, subsequent steps can be performed using the widely available 10x Genomics droplet microfluidic technology and commercial kits without experimental modification. We demonstrate the production of high-complexity mRNA and gDNA sequencing libraries from thousands of individual nuclei from both cell lines and archived surgical specimens for associating gene expression phenotypes with both copy number and single nucleotide variants.

Identifiers

PMID36798358
PMCPMC9934633

What OpenQuestion holds

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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.