What Proportion of Annotated lncRNAs Are Functional?

The honest answer is a range, and the range depends almost entirely on what you count as function.

The Short Answer

Estimates cluster in the range of a few percent to roughly one-fifth of annotated lncRNAs showing a detectable phenotype in a given assay — but the number moves by an order of magnitude depending on:

  • • What counts as function (viability, expression change, differentiation, organismal phenotype).
  • • Where it was tested (one cell line, one condition, one timepoint).
  • • How the perturbation was made (CRISPRi at the promoter, deletion, knockdown).
  • • Whether redundancy was addressed (single perturbations miss buffered functions).

The useful reading is not "X% are functional" but "under these conditions, this fraction showed a detectable effect".

Where the Numbers Come From

ApproachRough findingMain limitation
Large-scale CRISPRi screens in cell linesA minority of loci show growth or expression phenotypesOne cell type; essentiality bias; promoter-level effects conflate DNA and RNA
Conservation-based estimatesSmall fraction under strong purifying selectionFunction can be conserved without sequence conservation
Expression-based estimatesMany are cell-type-restrictedExpression is not function
Orthologous perturbation studiesPhenotypes in a subset, often context-specificCross-species inference
Developmental knockdown studiesHigher apparent functional fractionDifferent assays, different thresholds

The disparity between rows is the point: they are measuring different things with different sensitivities.

Why the Denominator Is Unstable

Annotation itself is uncertain. Many annotated lncRNAs:

  • • lack confirmed 5′ and 3′ ends;
  • • may be transcription noise from enhancer regions;
  • • overlap protein-coding loci or other non-coding features;
  • • are expressed below reliable detection in most cell types.

A fraction computed against an unstable denominator should be read as an order of magnitude, not a measurement.

Why the Numerator Is Underestimated

Perturbation designs systematically miss three classes of function:

  • • Redundant functions — paralogues compensate, so single perturbations show nothing.
  • • Context-restricted functions — developmental windows, stress, immune activation.
  • • Cis-regulatory functions — the act of transcription matters, and promoter-level perturbations may capture it differently from transcript depletion.

Each omission pushes the estimate down, which is why "only a small fraction is functional" often reflects assay design more than biology.

What This Means for a Project

  • • Do not cite a proportion as a prior for your candidate. The variance across studies is too large.
  • • Use expression and conservation as weak filters, not as evidence of function.
  • • Design for detection: sensitized assays, relevant cell states, multiple perturbation modalities.
  • • Report your own nulls with detection limits, which is how the field's estimates will eventually improve.

Need a functional test designed for detection?

EDITGENE builds lncRNA perturbation series across modalities and cell states, with sensitized readouts and positive controls, so that a null carries a detection limit rather than an assumption.

Tell us the candidate and the phenotype. Contact EDITGENE to request a project consultation or quote.

Scientific scope and validation note

Estimates of the functional fraction of lncRNAs depend on annotation version, assay sensitivity, cell type, and the definition of function; no single figure is authoritative.

Absence of a phenotype in one assay does not establish dispensability, and presence of expression or conservation does not establish function.

Selected references for further reading

  • • Liu SJ, et al. CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells. Science. 2017;355:eaah7111.
  • • Ramilowski JA, et al. Functional conservation of lncRNA is reflected in predicted structures and interactions. Nature Communications. 2020;11:6352.
  • • Statello L, et al. Gene regulation by long non-coding RNAs and its biological functions. Nature Reviews Molecular Cell Biology. 2021;22:96–118.
  • • Mattick JS, et al. Long non-coding RNAs: definitions, functions, challenges and recommendations. Nature Reviews Molecular Cell Biology. 2023;24:430–447.

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