Evidence map›Paper›PMID 37781608›Full record

ArticlebioRxiv : the preprint server for biology2023

Probing Molecular Diversity and Ultrastructure of Brain Cells with Fluorescent Aptamers.

Xiaotang Lu, Yuelong Wu, Peter H Li, Tao Fang, Richard L Schalek, Yaxin Su, Jeffery D Carter, Shashi Gupta, Viren Jain, Nebojsa Janjic and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

11 authors.

Xiaotang LuDepartment of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA, USA.
Yuelong WuDepartment of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA, USA.
Peter H LiGoogle Research, Mountain View, CA, USA.
Tao FangProgram of Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA.
Richard L SchalekDepartment of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA, USA.
Yaxin SuDepartment of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA, USA.
Jeffery D CarterSomaLogic, Inc., Boulder, CO, USA.
Shashi GuptaSomaLogic, Inc., Boulder, CO, USA.
Viren JainGoogle Research, Mountain View, CA, USA.
Nebojsa JanjicSomaLogic, Inc., Boulder, CO, USA.
Jeff W LichtmanDepartment of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA, USA.

Funding

Zooming into the fish's brain-What is really going on! Connectomics analysis of larval zebrafish.U19NS104653 · NINDS · HARVARD UNIVERSITY · PI JOSHUA T VOGELSTEIN · 2017 to 2026
$39.4M
A Tool for Synapse-level Circuit Analysis of Human Cerebral Cortex Specimens.UG3MH123386 · NIMH · HARVARD UNIVERSITY · PI LICHTMAN, JEFF W · 2021 to 2023
$2.4M
New Methodologies for ConnectomicsK99MH128891 · NIMH · HARVARD UNIVERSITY · PI LU, XIAOTANG · 2022 to 2023
$266k
NIMH NIH HHS K99 MH128891NIMH NIH HHS UG3 MH123386NINDS NIH HHS U19 NS104653
6 · The paper itself

Abstract

Detergent-free immunolabeling has been proven feasible for correlated light and electron microscopy, but its application is restricted by the availability of suitable affinity reagents. Here we introduce CAptVE, a method using slow off-rate modified aptamers for cell fluorescence labeling on ultrastructurally reconstructable electron micrographs. CAptVE provides labeling for a wide range of biomarkers, offering a pathway to integrate molecular analysis into recent approaches to delineate neural circuits via connectomics.

Identifiers

PMID37781608
PMCPMC10541122

What OpenQuestion holds

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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.