Evidence map›Paper›PMID 39314473›Full record

ArticlebioRxiv : the preprint server for biology2024

Inferring cell differentiation maps from lineage tracing data.

Palash Sashittal, Richard Y Zhang, Benjamin K Law, Alexander Strzalkowski, Henri Schmidt, Adriano Bolondi, Michelle M Chan, Benjamin J Raphael

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

Palash SashittalDept. of Computer Science, Princeton University, Princeton; 08544 NJ, USA.ORCID 0000-0001-6581-4839
Richard Y ZhangLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton; 08544 NJ, USA.ORCID 0000-0001-7712-1247
Benjamin K LawLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton; 08544 NJ, USA.
Alexander StrzalkowskiDept. of Computer Science, Princeton University, Princeton; 08544 NJ, USA.
Henri SchmidtDept. of Computer Science, Princeton University, Princeton; 08544 NJ, USA.
Adriano BolondiDept. of Genome Regulation, Max Planck Institute for Molecular Genetics; 14195 Berlin, Germany.
Michelle M ChanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton; 08544 NJ, USA.ORCID 0000-0001-9451-9716
Benjamin J RaphaelDept. of Computer Science, Princeton University, Princeton; 08544 NJ, USA.ORCID 0000-0003-1274-048X

Funding

Quantitavie and Computational Biology Graduate ProgramT32HG003284 · NHGRI · PRINCETON UNIVERSITY · PI Joshua Michael Akey, Stanislav Y. Shvartsman · 2004 to 2026
$9.9M
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and EvolutionU24CA248453 · NCI · PRINCETON UNIVERSITY · PI Benjamin Raphael · 2020 to 2026
$4.7M
Building a Systematic, Comprehensive Mammalian Cell Fate MapDP2HD111537 · NICHD · PRINCETON UNIVERSITY · PI CHAN, MICHELLE · 2022 to 2025
$2.2M
NCI NIH HHS U24 CA248453NHGRI NIH HHS T32 HG003284NICHD NIH HHS DP2 HD111537
6 · The paper itself

Abstract

During development, mulitpotent cells differentiate through a hierarchy of increasingly restricted progenitor cell types until they realize specialized cell types. A cell differentiation map describes this hierarchy, and inferring these maps is an active area of research spanning traditional single marker lineage studies to data-driven trajectory inference methods on single-cell RNA-seq data. Recent high-throughput lineage tracing technologies profile lineages and cell types at scale, but current methods to infer cell differentiation maps from these data rely on simple models with restrictive assumptions about the developmental process. We introduce a mathematical framework for cell differentiation maps based on the concept of potency, and develop an algorithm,

Identifiers

PMID39314473
PMCPMC11419031

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.