Evidence map›Paper›PMID 41890025›Full record

ArticlebioRxiv : the preprint server for biology2026

Microfluidic low-input profiling reveals lncRNA roles in disease.

Jenna A Catalano, Yuan-Pang Hsieh, Zhengzhi Liu, Gaoshan Li, J Javier Meana, Javier González-Maeso, Zhen Bouman Chen, Chang Lu

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

8 authors.

Jenna A CatalanoDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Yuan-Pang HsiehDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Zhengzhi LiuDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Gaoshan LiDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
J Javier MeanaDepartment of Pharmacology, University of the Basque Country EHU, CIBERSAM, Biobizkaia Health Research Institute, E-48940 Leioa, Bizkaia, Spain.
Javier González-MaesoDepartment of Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA.ORCID 0000-0003-3105-3204
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope, Duarte, CA 91010, USA.
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-0181-5888

Funding

Structure and function of the 5HT2A/mGluR2 complex in schizophreniaR01MH084894 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Javier Gonzalez-Maeso · 2009 to 2026
$6.8M
Low-input profiling of brain-region and cell-type specific epigenomic dynamics to understand gene-environment interactions in opioid addictionR01DA056187 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Julie A Blendy, Chang Lu · 2023 to 2026
$2.8M
RNA-mediated endotheliopathy in diabetic vasculopathyR35HL171550 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Zhen Bouman Chen · 2024 to 2026
$2.2M
A low-input microfluidic ChIRP-seq technology for studying endogenous lncRNA bindingR01GM141096 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2021 to 2024
$1.1M
NHLBI NIH HHS R35 HL171550NIDA NIH HHS R01 DA056187NIGMS NIH HHS R01 GM141096NIMH NIH HHS R01 MH084894
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) regulate gene expression through binding to DNA, various RNAs, and proteins, playing potentially important but poorly understood roles in diseases. Existing approaches for profiling lncRNA-chromatin interactions at the genome scale require large quantities of input material (e.g., 100 million cells per assay). Applying these technologies to tissue samples has been challenging especially when examination of a specific cell type is desired. Here we demonstrate a low-input microfluidic technology based on Chromatin Isolation by RNA Purification (ChIRP) for mapping lncRNA-chromatin interactions using as few as 50,000 cells. We validate our technology, muChIRP-seq, on two lncRNAs of different sizes (

Identifiers

PMID41890025
PMCPMC13015695

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.