Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
14 authors.
Satish KumarDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.ORCID 0000-0002-1969-4431
Miriam AcevesDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.ORCID 0000-0002-1778-0213
Jose GranadosDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.
Lorena GuerraDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.
Felicia JuarezDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.
Earl NovillaDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.
Ana C LeandroDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.ORCID 0000-0002-7640-3469
Marcelo LeandroDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.
Juan PeraltaDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.ORCID 0000-0002-8811-5579
Sarah Williams-BlangeroDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen, TX 78504, USA.
Elda E SanchezNational Natural Toxin Research Center (NNTRC), Texas A&M University-Kingsville, Kingsville, TX 78363, USA.ORCID 0000-0001-5222-8873
Jacob A GalanDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.ORCID 0000-0003-3304-0474
John BlangeroDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.ORCID 0000-0001-6250-5723
Joanne E CurranDivision of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.
Funding
PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI MAHANEY, MICHAEL CHARLES · 1991 to 2012
$27.6M
Workforce Development CoreU54HG013247 · NHGRI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI John Blangero · 2023 to 2026
$10.5M
Viper Resource Grant at Texas A&M University-KingsvilleP40OD010960 · OD · TEXAS A&M UNIVERSITY-KINGSVILLE · PI Elda E. Sanchez · 2012 to 2026
$9.2M
Experimental Cellular Approaches to Genotype × Environment InteractionRM1GM149403 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI John Blangero, JOANNE E. CURRAN · 2023 to 2026
$6.6M
Rio Grande Valley Alzheimer's Resource Center for Minority Aging Research: Partnerships for ProgressP30AG059305 · NIA · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI Gladys E. Maestre · 2018 to 2026
$5.8M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Imaging Genomics of the Aging BrainR01AG058464 · NIA · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2018 to 2022
The Mojave rattlesnake venom shows significant geographical variability. The venom of Type A animals primarily contains β-neurotoxin referred to as Mojave Toxin (MTX), which makes bites from this snake particularly feared. We performed a genome-wide transcriptomic analysis of the neurocellular response to Mojave Type A rattlesnake venom using induced pluripotent stem cell-derived neural stem cells to unveil the molecular mechanisms underlying the damage caused by this snake's envenomation. Our results suggest that snake venom metalloproteases, although having a limited repertoire in Type A venom, facilitate venom spread by digesting the tissue's extracellular matrix. The MTX, which is composed of heterodimers of basic and acidic phospholipase-A2, co-opts the host arachidonic acid and Ca
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.
Neurocellular Stress Response to Mojave Type A Rattlesnake Venom: Study of Molecular Mechanisms Using Human iPSC-Derived Neural Stem Cell Model. · full record | OpenQuestion