Evidence map›Paper›PMID 42642599›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Small RNA Analysis in Cancer Cells.

Victoria Silva, Srikrishna Kandooru, Damien Parrello, Brooke Froelich, Mike Hill, Yagna P R Jarajapu, Sergei Nechaev

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

7 authors.

Victoria SilvaDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA.
Srikrishna KandooruDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA.
Damien ParrelloDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA.
Brooke FroelichDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA.
Mike HillDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA.
Yagna P R JarajapuSchool of Pharmacy, North Dakota State University, Fargo, ND, 58102, USA.
Sergei NechaevDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, 58202, USA. sergei.nechaev@und.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNAs (sRNAs), broadly defined as RNA molecules shorter than ~200 nucleotides in size, include miscellaneous products of transcription and post-transcriptional processing that are variably abundant in cancer cells. While some types of sRNAs, such as microRNA (miRNA), are relatively well-characterized, the biological roles of many others remain unknown. Regardless of functionality, sRNA transcriptomes may reflect the identity of cell types, tissues, and cancers. While deep sequencing remains the best approach for sRNA profiling, there are distinct technical challenges for sRNA extraction, library preparation, sequencing and data analysis. Here, we describe a workflow for the preparation of sRNAs from cancer cells, sRNA libraries for sequencing, and basic bioinformatic analyses of sRNA sequencing data. We describe the preparation and analysis of standard, miRNA-enriched libraries that contain 5'-monophosphorylated RNAs and 3'-hydroxyl ends, as well as a custom protocol for the analysis of sRNAs containing 5'-cap modifications. The chapter should facilitate the analysis of different sRNA classes in cancer cells.

Indexed as

MicroRNAsNeoplasmsRNA, Small UntranslatedComputational BiologyGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNAMicroRNAsRNA, Small UntranslatedCancerEpigeneticsGenomicsRNA-seqSmall RNA

Identifiers

PMID42642599

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.