Pathology dynamics predict spinal cord injury therapeutic success
about
Syndromics: a bioinformatics approach for neurotrauma researchUndergraduate Biocuration: Developing Tomorrow's Researchers While Mining Today's DataSynaptic glutamate spillover increases NMDA receptor reliability at the cerebellar glomerulus.Seeking homeostasis: temporal trends in respiration, oxidation, and calcium in SOD1 G93A Amyotrophic Lateral Sclerosis mice.An Assessment of Possible Neuropathology and Clinical Relationships in 46 Sporadic Amyotrophic Lateral Sclerosis Patient AutopsiesCharacterization of the Contribution of Genetic Background and Gender to Disease Progression in the SOD1 G93A Mouse Model of Amyotrophic Lateral Sclerosis: A Meta-Analysis.Type I Vs. Type II Cytokine Levels as a Function of SOD1 G93A Mouse Amyotrophic Lateral Sclerosis Disease Progression.Cargo distributions differentiate pathological axonal transport impairments.State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model.The microanatomy of spinal cord injury: a review.Glial Cell Line-Derived Neurotrophic Factor-Transfected Placenta-Derived Versus Bone Marrow-Derived Mesenchymal Cells for Treating Spinal Cord Injury.Cognitive Decline in Preclinical Alzheimer's Disease: Amyloid-Beta versus Tauopathy.A Metadata Analysis of Oxidative Stress Etiology in Preclinical Amyotrophic Lateral Sclerosis: Benefits of Antioxidant Therapy.Comparison of three different time points of starting treadmill training in spinal cord injured rats.
P2860
Q28741573-EBC0C2F7-F188-47F6-BFBB-3FF1FFDCE169Q31021545-B52AA4D9-45D3-42E9-AC53-61909C436DC0Q35317159-FF20C07B-E571-4251-8579-F09EFFC8DF1CQ35802837-73BE32E7-34CB-41AA-B33C-E46AC929BD02Q36030708-9B640949-810C-4CBD-8F27-EC890F76667EQ36299228-4EE5A957-42C6-47FD-9AA4-4D8EAD14EC8CQ36332951-03177995-0EFA-4F00-9C33-EFA3E569F78CQ36407372-5EA7F170-2714-41AA-AAF5-A5C7288FB08FQ36494315-6E6DA248-7725-48AD-98EC-C2608CB229DFQ38231965-97C53712-1C51-4B76-9D82-F4DA1AC9BE13Q38707734-6E0EB7ED-2B65-4D5E-A118-FF8D7EE36CBFQ47110701-96CB1CC5-3E9C-4082-A3CD-4A2D5544244DQ49633688-40159F8C-EB1A-4E6B-A139-BF2A412FA980Q53117005-6F3A691D-E6A2-47BC-BE81-89EE5C076251
P2860
Pathology dynamics predict spinal cord injury therapeutic success
description
2008 nî lūn-bûn
@nan
2008 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Pathology dynamics predict spinal cord injury therapeutic success
@ast
Pathology dynamics predict spinal cord injury therapeutic success
@en
type
label
Pathology dynamics predict spinal cord injury therapeutic success
@ast
Pathology dynamics predict spinal cord injury therapeutic success
@en
prefLabel
Pathology dynamics predict spinal cord injury therapeutic success
@ast
Pathology dynamics predict spinal cord injury therapeutic success
@en
P2860
P356
P1476
Pathology dynamics predict spinal cord injury therapeutic success
@en
P2093
Cassie S Mitchell
Robert H Lee
P2860
P304
P356
10.1089/NEU.2008.0658
P577
2008-12-01T00:00:00Z