Evidence map›Paper›PMID 39149282›Full record

ArticlebioRxiv : the preprint server for biology2024

Optics-free Spatial Genomics for Mapping Mouse Brain Aging.

Abdulraouf Abdulraouf, Weirong Jiang, Zihan Xu, Zehao Zhang, Samuel Isakov, Tanvir Raihan, Wei Zhou, Junyue Cao

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Abdulraouf AbdulraoufLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Weirong JiangLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Zihan XuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Zehao ZhangLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-7568-5775
Samuel IsakovLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Tanvir RaihanLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Wei ZhouLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Junyue CaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Development of novel genomic approaches for profiling cellular temporal-spatial dynamics of neurogenesis in Aging and Alzheimer's diseaseR01AG076932 · NIA · ROCKEFELLER UNIVERSITY · PI Junyue Cao · 2022 to 2026
$4.0M
Single cell dynamics on a whole organism scaleDP2HG012522 · NHGRI · ROCKEFELLER UNIVERSITY · PI CAO, JUNYUE · 2021 to 2024
$2.5M
NHGRI NIH HHS DP2 HG012522NHGRI NIH HHS RM1 HG011014NIA NIH HHS R01 AG076932NIGMS NIH HHS T32 GM152349
6 · The paper itself

Abstract

Spatial transcriptomics has revolutionized our understanding of cellular network dynamics in aging and disease by enabling the mapping of molecular and cellular organization across various anatomical locations. Despite these advances, current methods face significant challenges in throughput and cost, limiting their utility for comprehensive studies. To address these limitations, we introduce

Identifiers

PMID39149282
PMCPMC11326199

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.