Evidence map›Paper›PMID 41743667›Full record

ArticleiScience2026

Comparing the impact of sample multiplexing approaches for single-cell RNA-sequencing on downstream analysis using cerebellar organoids.

Kseniia Sarieva, Theresa Kagermeier, Vladislav Lysenkov, Francesco Castagnetti, Zeynep Yentuer, Katharina Becker, Julia Matilainen, Nicolas Casadei, Simone Mayer

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

9 authors.

Kseniia SarievaHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Theresa KagermeierHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Vladislav LysenkovInstitute of Medical Genetics and Applied Genomics, University Hospital Tübingen, 72076 Tübingen, Germany.
Francesco CastagnettiZoological Institute, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
Zeynep YentuerHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Katharina BeckerHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Julia MatilainenGerman PCH Patient Network (PCH-Familie e.V.), 71034 Böblingen, Germany.
Nicolas CasadeiInstitute of Medical Genetics and Applied Genomics, University Hospital Tübingen, 72076 Tübingen, Germany.
Simone MayerHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiplexing overcomes limited throughput in single-cell RNA sequencing (scRNA-seq). Commercial strategies include Parse Biosciences combinatorial barcoding (Parse) and 10x Genomics CellPlex with microfluidic capture (10x). It is currently unknown how these techniques differ when characterizing complex tissues. Cerebellar organoids are a highly relevant model for studying cerebellar evolution, development, and disease. Yet, their extensive characterization through scRNA-seq is ongoing. Therefore, we compared the two multiplexing techniques using cerebellar organoids. While both strategies demonstrated technical reproducibility and revealed comparable cellular diversity, we found more stressed cells in 10x than in Parse. Additionally, Parse covered a higher gene biotype diversity and showed lower mitochondrial and ribosomal protein-coding transcript fractions. In summary, we demonstrate that both techniques provide similar insight into cerebellar organoid biology, but the flexibility of experimental design, capture of long transcripts, and the level of cell stress caused by the two workflows differ.

Indexed as

biological sciencescell biologycellular neurosciencenatural sciences

Identifiers

PMID41743667
PMCPMC12930056

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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.