Evidence map›Paper›PMID 42699087›Full record

ArticleiScience2026

Transcriptional landscape of direct reprogramming toward the hematopoietic lineage.

Jillian Cwycyshyn, Cooper Stansbury, Sarah Golts, Hyunsu Lee, Joshua Pickard, Walter Meixner, Indika Rajapakse, Lindsey A Muir

Abstract read
PubMed Full text at PMC Publisher
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. 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

5 · Who and what money

Authors and funding

8 authors.

Jillian CwycyshynDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Cooper StansburyDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Sarah GoltsDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Hyunsu LeeiReprogram Inc., Ann Arbor, MI, USA.
Joshua PickardDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Walter MeixnerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Indika RajapakseDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Lindsey A MuirDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

Funding

Systems and Integrative Biology Training ProgramT32GM150581 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DANIEL A BEARD · 2023 to 2026
$1.2M
NIGMS NIH HHS T32 GM150581
6 · The paper itself

Abstract

Direct reprogramming of human fibroblasts into hematopoietic stem cells (HSCs) offers a promising strategy for generating autologous cells to treat blood and immune disorders. Current protocols are limited by low efficiency and insufficient tools for evaluating reprogramming outcomes. Although functional assays are the standard for confirming cell identity, they require fully reprogrammed cells, limiting their utility during protocol development. To address this, we assembled a single-cell transcriptomic reference atlas of hematopoietic reprogramming and tested an algorithmically predicted transcription factor recipe for HSC induction. Long-read single-cell RNA sequencing of CD34

Indexed as

bioinformaticsdirect reprogramminghematopoietic stem cellslong-read sequencingomicssingle-cell atlassingle-cell RNA sequencing

Identifiers

PMID42699087
PMCPMC13543898

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.