Evidence map›Paper›PMID 40418451›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Ribo-ITP: A Method for Ribosome Profiling in Single Cells and Low-Input Samples.

Shilpa Rao, Tori Tonn, Can Cenik

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Shilpa RaoDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA.
Tori TonnDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA.
Can CenikDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA. ccenik@austin.utexas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome-wide translation can be measured using ribosome profiling, a technique which relies on deep sequencing of ribosome protected fragments. This method enables comprehensive measurement of in vivo translation; however, it involves multiple steps and thereby demands high-input samples. Here, we describe Ribo-ITP (RIBOsome profiling via IsoTachoPhoresis), which utilizes the principles of isotachophoresis coupled with a stringent size selection strategy in a microfluidic chip to isolate ribosome-protected fragments. Ribo-ITP allows quantitative measurement of translation from rare populations like cancer stem cells, early embryonic stages, and other ultralow input samples including single cells.

Indexed as

Gene Expression ProfilingRibosomesSingle-Cell AnalysisAnimalsHigh-Throughput Nucleotide SequencingHumansProtein BiosynthesisRibosome ProfilingTranscriptomeIsotachophoresisMicrofluidicRibo-ITPRibosome profilingTranslation

Identifiers

What OpenQuestion holds

Textmetadata
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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.