Evidence map›Paper›PMID 42244734›Full record

ArticlebioRxiv : the preprint server for biology2026

Polysome Profiling Method for Low-Input Human Postmortem Brain.

Vandana Sharma, Anuj Choudhary, Mrunali Dinesh Dhokne, Barbara Gisabella, Harry Pantazopoulos, Rammohan Shukla

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

6 authors.

Vandana SharmaDepartment of Zoology and Physiology, University of Wyoming, Laramie, WY, 82071, USA.
Anuj ChoudharyProgram in Neurosciences, University of Wyoming, Laramie, WY, 82071, USA.
Mrunali Dinesh DhokneProgram in Neurosciences, University of Wyoming, Laramie, WY, 82071, USA.
Barbara GisabellaDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.
Harry PantazopoulosDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.
Rammohan ShuklaDepartment of Zoology and Physiology, University of Wyoming, Laramie, WY, 82071, USA.

Funding

Wyoming INBRE Phase 4- Equipment Supplement for x-ray diffractometer for Center for Advanced Scientific InstrumentationP20GM103432 · NIGMS · UNIVERSITY OF WYOMING · PI Robert Scott Seville · 2012 to 2026
$56.8M
Zebrafish Models of CNS Injury and Locomotor RecoveryP20GM121310 · NIGMS · UNIVERSITY OF WYOMING · PI Rammohan Shukla · 2017 to 2026
$27.2M
NIGMS NIH HHS P20 GM103432NIGMS NIH HHS P20 GM121310
6 · The paper itself

Abstract

Polysome profiling is a powerful technique used to analyze the association of mRNA with ribosomes, providing insights into the translational status of a cell. It relies on the separation of ribosome-bound mRNAs through sucrose density gradient centrifugation, where the number of ribosomes on an mRNA correlates with its sedimentation rate. While numerous studies have successfully applied this method to cell line and mouse tissue, application to the human postmortem brain remains scarce due to challenges related to sample quality and low concentration of recoverable material. To overcome these challenges, we: 1. Implemented a protocol specifically optimized for low-concentration human post-mortem brain tissue. 2. Implemented a gradient-maker-free method to manually prepare sucrose gradients with tunable sensitivity for low-input samples. 3. Adapted the human brain tissue protocol for neuronal cell lines and mouse brain with minimal modification.

Identifiers

PMID42244734
PMCPMC13232300

What OpenQuestion holds

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Registered trials

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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.