ArticlebioRxiv : the preprint server for biology2024
Integrated electrophysiological and genomic profiles of single cells reveal spiking tumor cells in human glioma.
Rachel N Curry, Qianqian Ma, Malcolm F McDonald, Yeunjung Ko, Snigdha Srivastava, Pey-Shyuan Chin, Peihao He, Brittney Lozzi, Prazwal Athukuri, Junzhan Jing and 7 more
Open access · greenAbstract readPreprint
In one paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 4 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
17 authors at 1 institution in 1 country.
Rachel N Curry
Qianqian Ma
Malcolm F McDonald
Yeunjung Ko
Snigdha Srivastava
Pey-Shyuan Chin
Peihao He
Brittney Lozzi
Prazwal Athukuri
Junzhan Jing
Su Wang
Arif O Harmanci
Benjamin Arenkiel
Xiaolong Jiang
Benjamin Deneen
Ganesh Rao
Akdes Serin Harmanci
Baylor College of Medicine · US
Funding
VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8MTraining In Cell and Gene TherapyT32HL092332 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI MALCOLM K. BRENNER, Bruno Di Stefano · 2008 to 2026
$6.9MMOLECULAR DISSECTION OF SEIZURE MICROENVIRONMENT IN MALIGNANT GLIOMAR01CA223388 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DENEEN, BENJAMIN, NOEBELS, JEFFREY · 2018 to 2022
$3.5MAstrocyte Transcriptional Dependencies in Brain CircuitsR35NS132230 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI Benjamin Deneen · 2023 to 2026
$3.5MMODELING MALIGNANT PROGRESSION IN GLIOMAR01NS094615 · NINDS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI RAO, GANESH · 2016 to 2020
$1.8MCellular and Molecular Mechanisms of GBM InfiltrationR01NS124093 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI Benjamin Deneen, Ganesh Rao · 2022 to 2026
$1.6MHigh Throughput Genomic Sequencer at BCM Core FacilityS10OD023469 · OD · BAYLOR COLLEGE OF MEDICINE · PI CHEN, RUI · 2017 to 2017
$600kAcquisition of 10X Genomics Chromium Instrument to Accelerate Genomic and Single Cell Transcriptomic ResearchS10OD025240 · OD · BAYLOR COLLEGE OF MEDICINE · PI DODDAPANENI, HARSHA VARDHAN · 2018 to 2018
$125kDecoding hyperexcitability in malignant gliomaF99CA274700 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CURRY, RACHEL NAOMI · 2022 to 2023
$96kIGSF3 promotes tumor progression through synaptic remodeling and hyperexcitability in malignant gliomaF31CA265156 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CURRY, RACHEL NAOMI · 2021 to 2021
$46kNCI NIH HHS F31 CA265156NCI NIH HHS F99 CA274700NCI NIH HHS R01 CA223388NEI NIH HHS P30 EY002520NHLBI NIH HHS T32 HL092332NIH HHS S10 OD023469NIH HHS S10 OD025240NINDS NIH HHS R01 NS094615NINDS NIH HHS R01 NS124093NINDS NIH HHS R35 NS132230
6 · The paper itselfAbstract
Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in
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PMID38496434
PMCPMC10942290
OpenAlexW4392502160
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