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Microfluidic low-input profiling reveals lncRNA roles in disease.

Jenna A Catalano1, Yuan-Pang Hsieh1, Zhengzhi Liu2

  • 1Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.

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|March 27, 2026
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Summary
This summary is machine-generated.

New muChIRP-seq technology maps long noncoding RNA (lncRNA) interactions using minimal cells. This advance enables studying lncRNA roles in diseases like schizophrenia using specific cell types from tissue samples.

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Area of Science:

  • Genomics
  • Epigenetics
  • Molecular Biology

Background:

  • Long noncoding RNAs (lncRNAs) are crucial regulators of gene expression with poorly understood roles in disease.
  • Current methods for profiling lncRNA-chromatin interactions demand extensive cell input, limiting studies in specific tissues or cell types.

Purpose of the Study:

  • To develop and validate a low-input microfluidic technology for genome-wide profiling of lncRNA-chromatin interactions.
  • To enable cell-type-specific lncRNA analysis in challenging sample types, such as postmortem human brain tissue.

Main Methods:

  • Development of microfluidic Chromatin Isolation by RNA Purification (muChIRP) technology.
  • Validation using two lncRNAs (GOMAFU, TERC) in human/mouse cell lines and brain tissues.
  • Profiling of neuronal nuclei from postmortem human brain tissue of schizophrenia patients and controls.

Main Results:

  • muChIRP-seq successfully maps lncRNA-chromatin interactions from as few as 50,000 cells.
  • Distinct roles for GOMAFU and TERC in schizophrenia pathogenesis were identified.
  • Integrative analysis revealed coordination between lncRNA binding and epigenomic mechanisms in schizophrenia.

Conclusions:

  • muChIRP-seq significantly reduces input material requirements for lncRNA interaction studies.
  • This technology facilitates cell-type-specific lncRNA profiling in clinical tissue samples.
  • The findings open new avenues for understanding lncRNA involvement in disease mechanisms, particularly schizophrenia.