Evidence map›Paper›PMID 38114913›Full record

ArticleBMC genomics2023

Evaluation of noninvasive biospecimens for transcriptome studies.

Molly Martorella, Silva Kasela, Renee Garcia-Flores, Alper Gokden, Stephane E Castel, Tuuli Lappalainen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Molly MartorellaNew York Genome Center, New York, NY, USA. mem2331@cumc.columbia.edu.
Silva KaselaNew York Genome Center, New York, NY, USA.
Renee Garcia-FloresNew York Genome Center, New York, NY, USA.
Alper GokdenNew York Genome Center, New York, NY, USA.
Stephane E Castel *New York Genome Center, New York, NY, USA. stephanecastel@gmail.com.
Tuuli Lappalainen *New York Genome Center, New York, NY, USA. tlappalainen@nygenome.org.
New York Genome Center · USColumbia University · USUniversidad Autónoma del Estado de Morelos · MX

Funding

UNDERSTANDING CELLULAR AND TRANSCRIPTIONAL REGULATORY CHANGES IN HUMAN AGINGR01AG057422 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GREALLY, JOHN, LAPPALAINEN, TUULI · 2018 to 2022
$4.5M
Integration of omics data to improve interpretation of genetic risk variants in lung diseaseR01HL142028 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARR, R GRAHAM, LAPPALAINEN, TUULI · 2018 to 2019
$790k
Experimental and Computational Methods for Scaling-up Transcriptome Analyses and Improving Disease Risk PredictionsF30HG011194 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARTORELLA, MOLLY · 2020 to 2022
$144k
Characterizing genetic, longitudinal, and developmental effects on the transcriptome using a novel non-invasive RNA-sequencing methodK99HG009916 · NHGRI · NEW YORK GENOME CENTER · PI CASTEL, STEPHANE EMILE · 2018 to 2018
$95k
NHGRI NIH HHS 1K99HG009916NHGRI NIH HHS F30 HG011194NHGRI NIH HHS F30HG011194NHGRI NIH HHS K99 HG009916NHLBI NIH HHS R01 HL142028NHLBI NIH HHS R01HL142028NIA NIH HHS R01 AG057422NIA NIH HHS R01AG057422
6 · The paper itself

Abstract

Transcriptome studies disentangle functional mechanisms of gene expression regulation and may elucidate the underlying biology of disease processes. However, the types of tissues currently collected typically assay a single post-mortem timepoint or are limited to investigating cell types found in blood. Noninvasive tissues may improve disease-relevant discovery by enabling more complex longitudinal study designs, by capturing different and potentially more applicable cell types, and by increasing sample sizes due to reduced collection costs and possible higher enrollment from vulnerable populations. Here, we develop methods for sampling noninvasive biospecimens, investigate their performance across commercial and in-house library preparations, characterize their biology, and assess the feasibility of using noninvasive tissues in a multitude of transcriptomic applications. We collected buccal swabs, hair follicles, saliva, and urine cell pellets from 19 individuals over three to four timepoints, for a total of 300 unique biological samples, which we then prepared with replicates across three library preparations, for a final tally of 472 transcriptomes. Of the four tissues we studied, we found hair follicles and urine cell pellets to be most promising due to the consistency of sample quality, the cell types and expression profiles we observed, and their performance in disease-relevant applications. This is the first study to thoroughly delineate biological and technical features of noninvasive samples and demonstrate their use in a wide array of transcriptomic and clinical analyses. We anticipate future use of these biospecimens will facilitate discovery and development of clinical applications.

Indexed as

Gene Expression ProfilingTranscriptomeGene Expression RegulationHumansLongitudinal StudiesSalivaEQTLsHair folliclesMethodsNoninvasive RNA-sequencingTranscriptomicsUrine cell pellets

Identifiers

PMID38114913
PMCPMC10729488
OpenAlexW4389944062

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.