Table 1.
Patient characteristics and analysis workflows used for each specimen.
| Patient | Age | Sex | Cause of death | Heart region | Proteomic workflows |
|||||
|---|---|---|---|---|---|---|---|---|---|---|
| I |
II |
II |
III |
IV |
IV |
|||||
| DDA | DDA | DIA | DDA | DDA | DIA | |||||
| 1 | 32 | M | Suicide | Apex | ● | ● | ● | ● | ||
| LV | ● | ● | ● | ● | ||||||
| RV | ● | ● | ● | ● | ||||||
| 2 | 75 | F | Hemorrhagic stroke | Apex | ● | ● | ● | ● | ||
| LV | ● | ● | ● | ● | ||||||
| RV | ● | ● | ● | ● | ||||||
| 3 | 56 | M | Alcohol ingestion, coronary artery disease | LV | ● | ● | ● | ● | ||
| RV | ● | ● | ● | ● | ||||||
| 4 | 39 | M | Cerebrovascular accident | Apex | ● | ● | ● | ● | ||
F = female; M = male; LV = left ventricle; RV = right ventricle; proteomic workflows refer to those described in Fig. 1B; DDA = data dependent acquisition; DIA = data independent acquisition.