Evidence map›Paper›PMID 35044657›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Study of Rotary Cell Culture System-Induced Microgravity Effects on Cancer Biomarkers.

Ragini Singh, Rana P Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
0.9field-weighted citation impact, top 31% of its field
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 citations in OpenAlex.

  1. Advances in the study of gastric organoids as disease models.World journal of gastrointestinal oncology · 2024
    Review
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

2 authors at 1 institution in 1 country.

Ragini SinghCancer and Radiation Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India.
Rana P SinghCancer and Radiation Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India. rana_singh@mail.jnu.ac.in.
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since humans started to explore the possibilities of life beyond earth, space missions began unmanned in the beginning and late with astronauts to explore the curiosity. There are several factors in space which are different from that of the earth's atmosphere, including gravity, cosmic radiation, extreme temperatures, and heavy ions. The space environment consists of very less gravitational force, which is often termed as microgravity. Microgravity, along with radiation in space, is known to suppress the immune system of astronauts, and hence, the chances of getting diagnosed with cancer could not be overlooked. Microgravity simulators are used to generate microgravity in laboratory conditions, and it could be a very beneficial tool to study the effect of altered gravity on various types of cells, including cancer cells. Cancer cells produce several biomarkers which are used for cancer diagnosis and prognosis. Protein biomarkers are indispensable for the ongoing fight against cancer. In this chapter, we describe the culture of both anchorage-dependent and suspension cell lines using rotary cell culture system (RCCS) to induce microgravity condition and its effect on protein biomarkers.

Indexed as

NeoplasmsWeightlessnessBiomarkers, TumorCell Culture TechniquesHumansImmune SystemWeightlessness SimulationBiomarkers, Tumor3D aggregatesApoptosisCancer biomarkerCell proliferationImmunoblottingRCCSSimulated microgravity

Identifiers

PMID35044657
OpenAlexW4206639849

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.